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<h1>Table of Contents</h1>
</header>
<article>
<nav epub:type="toc" id="toc">
<ol><li style="list-style-type:none"
hidden="hidden"
class="front-matter title-page "
>
<a href="ebd643a8-3d53-4f07-a4a7-d592d250026e.xhtml" class="front-matter title-page ">Title Page</a>
</li>
<li style="list-style-type:none"
hidden="hidden"
class="front-matter copyright "
>
<a href="1b178a97-94f3-4694-9d82-263bdeab98ed.xhtml" class="front-matter copyright ">Copyright and Credits</a>
<ol><li style="list-style-type:none"
hidden="hidden"
class=""
>
<a href="3f98fcc9-00c4-45a4-ae58-a2a2c9c237cf.xhtml" class="">Hands-On Machine Learning on Google Cloud Platform</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
hidden="hidden"
class="front-matter packt-upsell "
>
<a href="995fc6d6-c6b5-452b-ad89-06497a7c288f.xhtml" class="front-matter packt-upsell ">Packt Upsell</a>
<ol><li style="list-style-type:none"
hidden="hidden"
class=""
>
<a href="ffd10f84-3e38-47da-95e6-d88e7110493b.xhtml" class="">Why subscribe?</a>
</li>
<li style="list-style-type:none"
hidden="hidden"
class=""
>
<a href="759528e3-d745-4faf-a9dd-2b0a450cbc5e.xhtml" class="">PacktPub.com</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
hidden="hidden"
class="front-matter about-authors "
>
<a href="2240dd09-bec7-4705-9db8-aa561555948d.xhtml" class="front-matter about-authors ">Contributors</a>
<ol><li style="list-style-type:none"
hidden="hidden"
class=""
>
<a href="5b8f6e3d-5a00-4243-9ac2-e74e09e1fda8.xhtml" class="">About the authors</a>
</li>
<li style="list-style-type:none"
hidden="hidden"
class=""
>
<a href="be356c19-97bd-472d-aa29-25eed43a1b72.xhtml" class="">About the reviewers</a>
</li>
<li style="list-style-type:none"
hidden="hidden"
class=""
>
<a href="5704b676-3297-4b48-8773-22636e8a1c93.xhtml" class="">Packt is searching for authors like you</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class="front-matter preface "
>
<a href="0dffe594-32ae-4ed6-8f41-c6300f056872.xhtml" class="front-matter preface ">Preface</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="6078919c-5c7f-4fdd-90fc-ecf2bfd106c6.xhtml" class="">Who this book is for</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="0c2ce488-e8c6-4da8-9fea-5ec019810807.xhtml" class="">What this book covers</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="e65d6ab6-973b-4a8c-b8be-f15125050a72.xhtml" class="">To get the most out of this book</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="ff2a6043-c55b-4d59-b4ff-f30e8e4683af.xhtml" class="">Download the example code files</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="9befa2dd-706f-4335-bd4b-b8c2e10a0dfa.xhtml" class="">Download the color images</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="d18063bf-400e-4f63-bf48-004a952c6e29.xhtml" class="">Conventions used</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="183d9612-40e7-482a-98cd-3e7ab4a059b4.xhtml" class="">Get in touch</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="2d31188f-4ddd-4e51-923f-d3ead35b2bcd.xhtml" class="">Reviews</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="1"
class="chapter chapter "
>
<a href="080810c6-9b0e-4d19-9b96-b7ad434703ab.xhtml" class="chapter chapter ">Introducing the Google Cloud Platform</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="26d31805-e73f-43b4-acf2-3c4cf584e1c7.xhtml" class="">ML and the cloud</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="da129661-7944-4b93-9881-24d194a0ed18.xhtml" class="">The nature of the cloud</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="1d8b2e1e-6d11-497d-a7a4-f7fd3a298f9b.xhtml" class="">Public cloud</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="aa1e3cc9-a40b-4e1f-a4a9-b35fd0e25dff.xhtml" class="">Managed cloud versus unmanaged cloud</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4d76488a-f19a-4be7-ae25-89bd9e7298a6.xhtml" class="">IaaS versus PaaS versus SaaS</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="be14953b-e4c1-4e00-b4ee-791b08dfc0f5.xhtml" class="">Costs and pricing</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="1aa868e9-a857-4f89-a3c2-783f093dec46.xhtml" class="">ML</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="c047b528-7826-4548-8370-db3afe8f2e35.xhtml" class="">Introducing the GCP</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="00d16026-fc4f-4b53-bb39-7eaa35fd5069.xhtml" class="">Mapping the GCP</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="00d9b43a-0651-42db-9df3-0623ad1400c5.xhtml" class="">Getting started with GCP</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="13336ef0-6108-4ddb-8d01-d744baa0e69d.xhtml" class="">Project-based organization</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="b19f2315-aa36-42af-9998-9b4e60a297d5.xhtml" class="">Creating your first project</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="0034f596-c459-4f99-a08c-aa1b3e3c989b.xhtml" class="">Roles and permissions</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="1669ac25-9d79-4b64-85fa-ad863b251d30.xhtml" class="">Further reading</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="84d34660-0195-4c84-ae38-ec8a5180eb70.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="2"
class="chapter chapter "
>
<a href="e8aad7d2-2778-4aab-a227-aa0b1bcd1023.xhtml" class="chapter chapter ">Google Compute Engine</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="35f07013-b4e4-4f88-9371-d2f35c984b22.xhtml" class="">Google Compute Engine</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="21d717e2-bc69-4e6b-a5ae-07f3de2b21cb.xhtml" class="">VMs, disks, images, and snapshots</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="f0263806-4b05-4176-a7f7-2352daea4e80.xhtml" class="">Creating a VM</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="2f7c7721-6106-432e-9bc0-dd246a3d8251.xhtml" class="">Google Shell</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="8b2f5184-8be9-4114-a9f1-44925a8e5954.xhtml" class="">Google Cloud Platform SDK</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="b8dd7510-dfb5-4564-b769-7c6d35dd1edf.xhtml" class="">Gcloud</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="6aeb9c5d-dfc2-430f-b55a-cbd848338fba.xhtml" class="">Gcloud config</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="124e30fa-aee8-4708-8b24-3c4626fb973d.xhtml" class="">Accessing your instance with gcloud</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="0917c919-320b-449d-bd2b-e0c51341f12a.xhtml" class="">Transferring files with gcloud</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="899cdc04-5f2c-47d3-aba6-ac4f42dcddfd.xhtml" class="">Managing the VM</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4a41a4f4-660a-4382-a013-c538e5d06cbc.xhtml" class="">IPs</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="32e82150-7d55-489b-af78-1f8ec69a98ad.xhtml" class="">Setting up a data science stack on the VM</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="f55ae076-704a-4f92-a6dd-0cd8c5c15fd5.xhtml" class="">BOX the ipython console</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="7e5623c4-c038-4904-9778-8c3f3cba7d7b.xhtml" class="">Troubleshooting</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="37291117-540b-4d97-ab4e-9197ba5eee19.xhtml" class="">Adding GPUs to instances</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="d03c3f0d-0a32-4ef9-b2ff-a0d9d65fa7d0.xhtml" class="">Startup scripts and stop scripts</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="22d3bd8b-2323-4989-b3a6-2c7d41e500f7.xhtml" class="">Resources and further reading</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="5400564d-fe20-4f6a-af5a-2f2cd7f25b14.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="3"
class="chapter chapter "
>
<a href="3cd07896-6c7d-445f-b2b8-5ac4806b0ea4.xhtml" class="chapter chapter ">Google Cloud Storage</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="2a31b42c-c155-4519-b3d4-d9dc4d6f649b.xhtml" class="">Google Cloud Storage</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="c8fa23f5-3b19-4f78-b3aa-f54405ef36a6.xhtml" class="">Box&#x2013;storage versus drive</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="177ae490-7a13-4932-994c-849077d486ea.xhtml" class="">Accessing control lists</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="3773bae2-596c-4d5d-90fb-1de6add8eb1d.xhtml" class="">Access and management through the web console</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="4f240a4e-b35f-42a2-b2e5-45a4443ff044.xhtml" class="">gsutil</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4df67e0a-ff56-43d2-bd1e-f0fee8d4d569.xhtml" class="">gsutil cheatsheet</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="e750a5fa-ad3d-498a-9a1f-2abc3d9cdaa7.xhtml" class="">Advanced gsutil</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ed79c70e-4cda-425e-93ee-90a3633eac66.xhtml" class="">Signed URLs</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="e537a4bc-a9c4-4794-9c85-900829c46f25.xhtml" class="">Creating a bucket in Google Cloud Storage</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="2c8af101-b035-49c9-88f1-a3d3b8acb2ae.xhtml" class="">Google Storage namespace</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="c21b8940-d31f-4011-9adc-7bd0244c67ee.xhtml" class="">Naming a bucket</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="c2fe11d1-6565-4426-8506-3be3f5b9da1d.xhtml" class="">Naming an object</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="d2374d71-558f-4c6f-be79-f4faab7cac2a.xhtml" class="">Creating a bucket</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="dc02f060-3ed9-4896-91e0-79b8a90a2999.xhtml" class="">Google Cloud Storage console</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="e0b009ec-1af1-4ec8-a271-c374a29926f1.xhtml" class="">Google Cloud Storage gsutil</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="e64a2ddd-7d54-4d10-978e-53828cb2dda3.xhtml" class="">Life cycle management</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="3506ed49-5ad9-4906-b984-4e3d74cc0d64.xhtml" class="">Google Cloud SQL</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="3f2cf1d6-d3de-469a-ae72-05898a069544.xhtml" class="">Databases supported</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="42f96902-5c53-4f67-b9f3-81620205117a.xhtml" class="">Google Cloud SQL performance and scalability</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="b0d2885a-4c26-4c13-bd21-6bd17f85eac2.xhtml" class="">Google Cloud SQL&#xA0;security and architecture</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="6e382533-3584-490d-a7b2-33593ed424b6.xhtml" class="">Creating Google Cloud SQL instances</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="fea151ac-7f59-4b85-9434-e069ed1bf06d.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="4"
class="chapter chapter "
>
<a href="862553c5-4bb7-4a5c-b7bd-03f0eb8d413e.xhtml" class="chapter chapter ">Querying Your Data with BigQuery</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="14268791-b51b-4a89-b5fe-7b9b9d5c6f89.xhtml" class="">Approaching big data</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="6629fddc-6e94-437d-baa1-e6bc43dd7397.xhtml" class="">Data structuring</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ce858741-d1f2-441e-9de8-beee0dd1b0c0.xhtml" class="">Querying the database</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="e9d6de20-6896-4bf5-86e2-51f4023275c6.xhtml" class="">SQL basics</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="d05e43bb-c814-4313-8444-265d3d28393a.xhtml" class="">Google BigQuery</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="e799a96d-284e-475a-b46e-b4ee1c5326ff.xhtml" class="">BigQuery basics</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="d0fdb620-8f69-42f3-8800-ce6942498458.xhtml" class="">Using a graphical web UI</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="c3cf9dcd-f670-464b-ad43-3dbde65366cf.xhtml" class="">Visualizing data with Google Data Studio</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="ab24ba7e-5a0e-4278-beeb-e75b13093271.xhtml" class="">Creating reports in Data Studio</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="093cfdbb-2880-436f-8b0f-f1e593e5809d.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="5"
class="chapter chapter "
>
<a href="0ac1eacf-3e00-4944-b261-0f403e63f0d5.xhtml" class="chapter chapter ">Transforming Your Data</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="0cce51b6-21cd-4a0f-b154-6bc859d785db.xhtml" class="">How to clean and prepare the data</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="9d2a2807-42a5-4c78-aa95-4c1b2d2db95a.xhtml" class="">Google Cloud Dataprep</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ffe345b3-492a-41f2-87d1-4bfbf5fbebf7.xhtml" class="">Exploring Dataprep console</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="a6afb6f5-fe50-4ef9-b57c-7a04c0388f7b.xhtml" class="">Removing empty cells</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="897f425c-c97e-4406-a4e2-ca103f475f0f.xhtml" class="">Replacing incorrect values</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="28e1853d-5651-4f3b-b4bf-02a340a019cd.xhtml" class="">Mismatched values</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="1e61c632-9a51-4f10-83fb-6a601f7b855d.xhtml" class="">Finding outliers in the data</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="0128bfd7-b759-42f0-b498-abcb37d8095c.xhtml" class="">Visual functionality</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="e22508ba-804a-4ac1-aa48-1e5cb21f9433.xhtml" class="">Statistical information</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="b018816d-f646-406a-9ee2-97669e690a2b.xhtml" class="">Removing outliers</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="08ae318e-231c-4dbd-9569-96ac3bd8fdc4.xhtml" class="">Run Job</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="3ffda889-d66c-46a5-8e44-f399e4604ae4.xhtml" class="">Scale of features</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="fd5b8a44-e9d3-4c19-bebb-c2fa5a5ebfee.xhtml" class="">Min&#x2013;max normalization</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="aa83b40e-51a8-483f-a6fa-a2cba3008893.xhtml" class="">z score standardization</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="fe6425ec-8c7d-4070-ae6b-3aa3bc027dc0.xhtml" class="">Google Cloud Dataflow</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="8b17ef6f-26d1-4647-a28a-8b21ab581cef.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="6"
class="chapter chapter "
>
<a href="d5573a5a-a586-44de-b1d0-1bdc51062506.xhtml" class="chapter chapter ">Essential Machine Learning</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="3bbfb46c-04bc-4c00-a2f5-eed34be7efb0.xhtml" class="">Applications of machine learning</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="34c77e2c-dc59-4183-9b29-0e5e98cd3b43.xhtml" class="">Financial services</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ed2f72af-2430-41eb-80ad-6755d1a68e75.xhtml" class="">Retail industry</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="832a8c22-6b6d-439c-a82c-8a819c7c80b6.xhtml" class="">Telecom industry</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ac78ab2e-90ca-4356-97d8-faa97c5a64a8.xhtml" class="">Supervised and unsupervised machine learning</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="89129ee8-397b-47f3-9dff-dcd161a219b8.xhtml" class="">Overview of machine learning techniques</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="373c26b9-bebf-49d5-83df-93e1884c17d5.xhtml" class="">Objective function in regression</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="20fe6cfc-bee7-4050-a219-6e391cccb08f.xhtml" class="">Linear regression</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="375472e7-c6d3-4690-a533-ca2b6d46f37a.xhtml" class="">Decision tree</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="555d041f-d8ac-4d6b-92e2-d33db76be27e.xhtml" class="">Random forest</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="3ed1648d-d179-43f0-96d8-00a1b41de34c.xhtml" class="">Gradient boosting</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ca70515d-5f74-4566-92a7-235a15605b49.xhtml" class="">Neural network</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="83d46c99-3db4-40c8-8aa6-2e3b0dac8880.xhtml" class="">Logistic regression</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4b236e6b-09f0-4c87-82fd-3c58430e1d6b.xhtml" class="">Objective function in classification</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="2b230f13-35e8-42a1-b883-304df0596fce.xhtml" class="">Data splitting</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="90ba54ec-1f17-4779-ae41-1c773d956014.xhtml" class="">Measuring the accuracy of a model</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="b835f791-ce04-47ba-a275-dfbe60475478.xhtml" class="">Absolute error</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="f0e4576d-b261-4746-a22b-95a2bdba5ecb.xhtml" class="">Root mean square error</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="52b8d0a5-637f-41db-af0a-88399bff4c46.xhtml" class="">The difference between machine learning and deep learning</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="fb7020d2-6cc1-4837-9d80-3fcb6155cd5d.xhtml" class="">Applications of deep learning</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="3f9fba73-cd50-4f24-8ba2-0e0a0f5e0520.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="7"
class="chapter chapter "
>
<a href="9ce37beb-fec7-4f6f-b058-522fca4ede3b.xhtml" class="chapter chapter ">Google Machine Learning APIs</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="d16ff507-a3df-4398-b24a-54fad32589d5.xhtml" class="">Vision API</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="9bb2eebb-ed78-41b0-9eb0-2b1afcdb8763.xhtml" class="">Enabling the API</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ce8c15cf-179a-454a-9038-6d315a30da7a.xhtml" class="">Opening an instance</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="ebd761f4-b343-4b41-8bce-2f1a1be6b325.xhtml" class="">Creating an instance using Cloud Shell</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="c2575157-6eaf-4f87-a091-9f5e8b671a3c.xhtml" class="">Label detection</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="127035e2-5a49-448b-9a3d-94af0518e9bc.xhtml" class="">Text detection</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="3f8b8344-ea04-4340-8af2-c74c17cd7545.xhtml" class="">Logo detection</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="b9a3ac0f-abe2-4b4a-a9df-d4696e7cebbf.xhtml" class="">Landmark detection</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="41ca314c-108a-48db-880c-e8ae0f724539.xhtml" class="">Cloud Translation API</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="814c5e96-da82-48b1-b6fe-bdfa58cd8bfd.xhtml" class="">Enabling the API</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="329361e2-0f4a-49ea-8d80-669aa81c7d19.xhtml" class="">Natural Language API</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="6e334ef6-beac-41d2-9d8c-6b477f003cf0.xhtml" class="">Speech-to-text API</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="e6b27c3d-ac12-44e8-8fa4-b244ac8d7d66.xhtml" class="">Video Intelligence API</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="dc90b4df-5009-4a67-9552-08569caebabc.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="8"
class="chapter chapter "
>
<a href="7212765a-947e-4bff-b856-9cc49fa1885f.xhtml" class="chapter chapter ">Creating ML Applications with Firebase</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="aa94ea1f-ff5a-40c6-abd7-1088a2c28f63.xhtml" class="">Features of Firebase</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="8d64b9a3-7018-47bc-a47d-cf62a775a441.xhtml" class="">Building a web application</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="aa4abc58-00ce-4246-a497-b7eec37e0055.xhtml" class="">Building a mobile application</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="fa1d0c4d-2fa6-40b7-9d14-0a81267ec541.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="9"
class="chapter chapter "
>
<a href="a1088ef1-19b7-49ce-9b02-0a0516f76010.xhtml" class="chapter chapter ">Neural Networks with TensorFlow and Keras</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="09946c75-fe99-4fc0-97b3-38d9fb5ac24e.xhtml" class="">Overview of a neural network</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="acc74b01-5019-48cc-b176-bbe8968035a8.xhtml" class="">Setting up Google Cloud Datalab</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="973479f6-d87d-4252-a32f-2deafd47616c.xhtml" class="">Installing and importing the required packages</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="aa835748-0afb-47f0-a521-5227018efb6c.xhtml" class="">Working details of a simple neural network</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="8d4c3f54-22b1-4f10-b865-ed292bdaa721.xhtml" class="">Backpropagation</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="dedb0bfe-f982-4984-b4eb-172aa1bc55a2.xhtml" class="">Implementing a simple neural network in Keras</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="760f23dd-8158-4df0-81aa-4cd7ca6442ff.xhtml" class="">Understanding the various loss functions</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="91490ac9-8eea-4a0f-b236-1f257c864db0.xhtml" class="">Softmax activation</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="f6a0e9ce-6eb3-483a-98df-926024003c2a.xhtml" class="">Building a more complex network in Keras</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="bc0adb0b-1699-4889-ae1b-c403059220d5.xhtml" class="">Activation functions</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="7e947873-1cbb-484a-84ca-057772863f82.xhtml" class="">Optimizers</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4111eedd-6b74-4cec-8b3a-f6925f445471.xhtml" class="">Increasing the depth of network</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="250f80e2-3d69-4c38-9172-8585ceefbd17.xhtml" class="">Impact on change in batch size</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="6b1aa726-b8d5-4e9c-aa54-570a1e7481bc.xhtml" class="">Implementing neural networks in TensorFlow</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="73a7b558-492e-4454-bc42-aac29da669f5.xhtml" class="">Using premade estimators</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="95576a8c-acb4-421e-a736-0b457a3feb57.xhtml" class="">Creating custom estimators</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="0162d651-f81f-48b3-9550-02bba45e12d9.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="10"
class="chapter chapter "
>
<a href="2d78b3db-9175-4c57-ba39-f27a23536223.xhtml" class="chapter chapter ">Evaluating Results with TensorBoard</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="b3fd3dcc-3c67-4938-a235-ac0b2bc1ffc4.xhtml" class="">Setting up TensorBoard</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="56dc6a47-77ba-4c7f-b925-6bb8a0a4e5ea.xhtml" class="">Overview of summary operations</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="7c46c713-11b3-4fec-b730-be7ce03d4964.xhtml" class="">Ways to debug the code</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="3c980ae4-370e-41b8-bf00-4924c59950a0.xhtml" class="">Setting up TensorBoard from TensorFlow</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="e6afe94f-62e8-483d-9436-1b8eea93e2ea.xhtml" class="">Summaries from custom estimator</a>
</li>
</ol>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4051079c-7c28-4e52-b62d-81d5d7ae8e1b.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="11"
class="chapter chapter "
>
<a href="887ab76c-4889-4939-9ed4-500ff7b13933.xhtml" class="chapter chapter ">Optimizing the Model through Hyperparameter Tuning</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="e38e8f69-6a92-474a-be7d-55eee4d3b240.xhtml" class="">The intuition of hyperparameter tuning</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="44254261-1c20-4283-90b0-ed6185581476.xhtml" class="">Overview of hyperparameter tuning</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="58ede1f6-f0ac-4225-9fb9-096e36df77c9.xhtml" class="">Hyperparameter tuning in Google Cloud</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="d6d4248f-3390-46a7-8357-c1a156d6514d.xhtml" class="">The model file</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4738249f-c829-43ae-8a78-d34b72e8aafd.xhtml" class="">Configuration file</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="837ee50f-529f-4f57-b019-54e6c11af332.xhtml" class="">Setup file</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="db8b95c3-e8f2-48ba-8291-1206e845f762.xhtml" class="">The __init__&#xA0;file</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4e978711-b74b-4a92-8102-f8e4f3285cc6.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="12"
class="chapter chapter "
>
<a href="4f8fdc63-060d-4eb6-b152-7f0502ac83a3.xhtml" class="chapter chapter ">Preventing Overfitting with Regularization</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="5ed5af33-7fb7-4422-b17f-d44c4517ff06.xhtml" class="">Intuition of over/under fitting</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="4ee34856-0239-42a8-b7a0-edffe0ec700e.xhtml" class="">Reducing overfitting</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="1c24cbe4-94cf-455c-bc10-2ee45b9b7909.xhtml" class="">Implementing L2 regularization</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="1b3b892f-9613-46e3-8310-57ed6184cac1.xhtml" class="">Implementing L1 regularization</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="58f96e09-b6e4-4b79-b4ea-1d4593cbf1a7.xhtml" class="">Implementing dropout</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="55ce244a-ec9d-4b14-86f6-d8d069688c4d.xhtml" class="">Reducing underfitting</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="75f1eb7b-62a2-46ae-9154-9c7db9421274.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="13"
class="chapter chapter "
>
<a href="0fa9cfb2-9e84-4f95-b287-c28f1805cc97.xhtml" class="chapter chapter ">Beyond Feedforward Networks &#x2013; CNN and RNN</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="3a27f868-6f6a-43f2-ab28-dfff2851d560.xhtml" class="">Convolutional neural networks</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="e8de8169-03a3-4193-b500-005a7b08811c.xhtml" class="">Convolution layer</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="38e0cb74-de58-4f4f-806b-035b98df29a9.xhtml" class="">Rectified Linear Units</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="338f6b45-9e03-45cd-bf6d-01fbabd70c80.xhtml" class="">Pooling layers</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="bfa7639d-9886-48c5-80b4-e7d92630a0f6.xhtml" class="">Fully connected layer</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ca9b696d-8e8c-4943-9373-4254a1a96344.xhtml" class="">Structure of a CNN</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="16980708-7891-412a-99e4-d662f53fcb7e.xhtml" class="">TensorFlow overview</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="7aa4d5e7-d3a0-493e-a439-93049f9dcc44.xhtml" class="">Handwriting Recognition using CNN and TensorFlow</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="6385da47-a68b-44c4-88ef-b73b0d1f66af.xhtml" class="">Run Python code on Google Cloud Shell</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="6ff64108-f82a-4360-8b15-ffbd9a3abc1c.xhtml" class="">Recurrent neural network</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="d99abada-599d-4e81-83cf-8677a217e6d5.xhtml" class="">Fully recurrent neural networks</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="7d87f98e-9e43-4cf9-9773-e6c339a02e54.xhtml" class="">Recursive neural networks</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="41cf0eeb-5cbe-4df7-9bb5-ea9a1f82e097.xhtml" class="">Hopfield recurrent neural networks</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="f5bd97dc-ba4e-4be9-8e2c-b4d270a6b1bf.xhtml" class="">Elman neural networks</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="5a5993de-9ed4-43f3-9e9c-4278bd844481.xhtml" class="">Long short-term memory networks</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="65f9a7d0-414f-4293-83dc-161006d3ab91.xhtml" class="">Handwriting Recognition using RNN and TensorFlow</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="2136a377-d013-4bfb-8198-f2380ef4a8e1.xhtml" class="">LSTM on Google Cloud Shell</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="340369e4-9a50-42e5-bb13-cc86836dddd3.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="14"
class="chapter chapter "
>
<a href="c8d5ef2e-b7e5-4de0-a153-c1d0881da8dc.xhtml" class="chapter chapter ">Time Series with LSTMs</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="54420c71-afb3-479f-a749-120978141d76.xhtml" class="">Introducing time series&#xA0;</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="04423656-f1e5-4d37-a13b-e8b053f0ad57.xhtml" class="">Classical approach to time series</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="1e459fff-e6de-45ac-99f6-6b71c623fcc1.xhtml" class="">Estimation of the trend component</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="f1aabcbe-ac47-4295-9491-54fcaaf9285e.xhtml" class="">Estimating the seasonality component</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="c8bb1f67-33a8-4c8a-ac94-35dd5ba57e3f.xhtml" class="">Time series models</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="40480f49-8f33-4cd3-b865-08bf5196c4a8.xhtml" class="">Autoregressive models</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="a08eff70-8baf-4922-bdbd-c79bf8254542.xhtml" class="">Moving average models</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="82950028-4ce3-4ad3-adf4-dc0757680ee2.xhtml" class="">Autoregressive moving average model&#xA0;</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="a57cdd0e-c80b-46e9-bb88-e45d28c0c58f.xhtml" class="">Autoregressive integrated moving average models</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="a68cb510-0531-4e58-92b2-2d6a40e41bc5.xhtml" class="">Removing seasonality from a time series</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="9a0e75e6-6aee-4a2d-8544-e6d14d438b2f.xhtml" class="">Analyzing a time series dataset</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="71320a4c-b014-44e5-8d2a-c2247501a4c9.xhtml" class="">Identifying a trend in a time series</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="bb1320cc-72ae-43c9-9ee2-c17f0f788375.xhtml" class="">Time series decomposition</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="df471294-6e4a-4d55-aee3-78ebd6723d17.xhtml" class="">Additive method</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="b79a0e59-7596-4d76-b10d-832243f5cd7b.xhtml" class="">Multiplicative method</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="75aeb61c-e662-40da-9f8f-1d0f675bb595.xhtml" class="">LSTM for time series analysis</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="778c5769-2431-4d87-b297-ae4e4711ee54.xhtml" class="">Overview of the time series dataset</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="db10d13c-f0dc-4c50-8bed-8d0ed360cd55.xhtml" class="">Data scaling</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="9cdaa4d6-583a-4932-9812-53a4ffae40e8.xhtml" class="">Data splitting</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="d6ff16f5-270e-4dd7-92cf-a6c9f7f78fc2.xhtml" class="">Building the model</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="244be58a-6f37-4419-8f10-744c5bbd53a3.xhtml" class="">Making predictions</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="56bd26f4-60f1-4905-9cdb-e189e1316830.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="15"
class="chapter chapter "
>
<a href="901df481-63c8-41d3-923b-63211aa88dc6.xhtml" class="chapter chapter ">Reinforcement Learning</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="b56e2259-9453-44cd-b41c-7c5105443a9a.xhtml" class="">Reinforcement learning introduction</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="7fcfbc8e-a6f6-468f-8560-088b5ba8a21a.xhtml" class="">Agent-Environment interface</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="949629bd-e9d8-421e-8b12-96d84cea44fc.xhtml" class="">Markov Decision Process</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="fe688357-82e5-4f93-8a76-102cab66c0ce.xhtml" class="">Discounted cumulative reward</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="19030cc3-3298-4cc1-ae13-dfb28afdd923.xhtml" class="">Exploration versus exploitation</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="76b9619e-42e3-4bcc-9242-b7cdfd552fcd.xhtml" class="">Reinforcement learning techniques</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="8a5365c7-2611-4a68-974a-88fe937f2bb8.xhtml" class="">Q-learning</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="da964568-d48d-4c5f-84bc-4ef0a5e65b83.xhtml" class="">Temporal difference learning</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="77ff43ec-8c87-4159-9cac-606d6d7ced40.xhtml" class="">Dynamic Programming</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="3477029c-843e-4d40-b70e-228c9eb13fd7.xhtml" class="">Monte Carlo methods</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ed074f2d-dd17-4863-bdf8-82fd3a2afefa.xhtml" class="">Deep Q-Network</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="693a32e6-359c-41bc-9462-6c4bc70f3f93.xhtml" class="">OpenAI Gym</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="85089c6f-431b-4f51-ba29-2e2f4663316d.xhtml" class="">Cart-Pole system</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="afa1e311-e199-41df-b4e5-39f3f13f1e02.xhtml" class="">Learning phase</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="865d68e4-f499-4a15-a2cf-cf879efa60fd.xhtml" class="">Testing phase</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="6f47a470-20bd-473d-a2d7-001de99a7147.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="16"
class="chapter chapter "
>
<a href="7933fee3-55bc-4028-932b-da466551ec32.xhtml" class="chapter chapter ">Generative Neural Networks</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="9d63b10b-6489-4dcf-95d1-07449c161b86.xhtml" class="">Unsupervised learning</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="d82cc43c-aa80-42bd-934d-25a365dbcf47.xhtml" class="">Generative models</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="3ef0df68-06a4-4b39-8a29-cf87f4f5c9e9.xhtml" class="">Restricted Boltzmann machine</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="9390e1f4-a9cf-4330-8b17-4a06ed22c9ca.xhtml" class="">Boltzmann machine architecture</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="f73852fe-4f59-44e5-b154-1bc7b2de1375.xhtml" class="">Boltzmann machine disadvantages</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="c32321b0-d420-4901-8731-7e914cc69aad.xhtml" class="">Deep Boltzmann machines</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="d3e73e6b-e168-4651-b4ec-78dc362c9d37.xhtml" class="">Autoencoder</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="bcaaccd8-020a-4465-9351-ad25247beea1.xhtml" class="">Variational autoencoder</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4fd0bfd2-a0a2-4657-90be-6505d39f7f60.xhtml" class="">Generative adversarial network</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="cf1036dc-0380-487d-b9e8-c88855727319.xhtml" class="">Adversarial autoencoder&#xA0;</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="3641bfe7-069f-4dbe-953f-ec67a7ecb03f.xhtml" class="">Feature extraction using RBM</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="047a3636-8f5e-4a5a-b5b4-340f5ea085bd.xhtml" class="">Breast cancer dataset</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="49f881be-51b6-481d-87d8-bc2a4ec6b23b.xhtml" class="">Data preparation</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="a091d734-3e29-4152-8b73-e6df68f5be03.xhtml" class="">Model fitting</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="3bfa9d13-888d-45fc-9ac0-92b653e7b4a1.xhtml" class="">Autoencoder with Keras</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="4cbb13cc-da1b-4b3d-ac13-b1f7ed116c20.xhtml" class="">Load data</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="cf41b475-9396-48e6-a1b1-de4726d79dc3.xhtml" class="">Keras model overview</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="11cc6670-3476-48c4-8150-fdf7aeb52c8c.xhtml" class="">Sequential model</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="85ad76e9-2bd0-42e9-81fe-b0dc51250a2f.xhtml" class="">Keras functional API</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="53752ca7-0e2c-4a0a-a737-57218db55a87.xhtml" class="">Define model architecture</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="1a1c4c2d-726a-494b-bb4b-365181e7684f.xhtml" class="">Magenta</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="7159ef4d-f59e-4b44-9264-d1c2ce0e77a9.xhtml" class="">The NSynth dataset</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="fb5b9663-fb25-4317-98fd-4c51cfc9bf46.xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal"
value="17"
class="chapter chapter "
>
<a href="83525f2d-9e83-47a0-a2a0-86eb6f39a9c3.xhtml" class="chapter chapter ">Chatbots</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="8c9f7aa2-da83-44c2-8145-e3af504422ec.xhtml" class="">Chatbots fundamentals</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="569022fc-3586-4fca-aaac-9cad1282a3aa.xhtml" class="">Chatbot history</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="937cc969-6ae5-4cd7-aa4b-8e318e18a603.xhtml" class="">The imitation game</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="c2fa4422-fd57-4bf7-8bbd-fd3c3fde300c.xhtml" class="">Eliza</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="fdef10ab-47f6-43eb-9c79-64c60596d3a9.xhtml" class="">Parry</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="ee95f02d-4dd3-4da6-a859-9ed139db4328.xhtml" class="">Jabberwacky</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4330649e-846d-4df7-a593-4b795ad71ca6.xhtml" class="">Dr. Sbaitso</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4be5770a-843b-43e6-8404-b8b51cd66db8.xhtml" class="">ALICE</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="c8264113-734a-4495-81b6-6bc27ab98eea.xhtml" class="">SmarterChild</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="7b653857-7906-4892-999f-f37fe5d60763.xhtml" class="">IBM Watson</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="08f1566e-3c4c-46d0-acfa-58550cc174f3.xhtml" class="">Building a bot</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="190cf658-affd-4933-87d8-274eb818cb5e.xhtml" class="">Intents</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="75b3e3d2-7ed7-4a98-bdda-ad6e74a53624.xhtml" class="">Entities</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="8acbe3d6-4b88-4182-9efd-841ac6e97e1a.xhtml" class="">Context</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="1cd6339b-9274-4af7-96c2-bc970df2b2fc.xhtml" class="">Chatbots</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="14cb34a2-308b-4b87-890f-e569d91c617c.xhtml" class="">Essential requirements</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="22010ee6-a38a-41c7-aee1-2ecc15839790.xhtml" class="">The importance of the text</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4fbb2975-e3f4-48f8-93b8-cb0f045cf8ad.xhtml" class="">Word transposition</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="6d52ac52-635f-4007-aa6a-339be67f8de0.xhtml" class="">Checking a value against a pattern</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="707c0e43-5d47-42bb-bc29-9c6f7c9a8722.xhtml" class="">Maintaining context</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="1bf29e02-9357-4cf6-9931-75af4ea6ad32.xhtml" class="">Chatbots architecture</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="94b04007-1970-495a-b020-f24533bce44d.xhtml" class="">Natural language processing</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4c3fd323-be9f-484e-99f7-e1791836596c.xhtml" class="">Natural language understanding</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="8a64367e-6a65-4e14-a224-48f33737f86d.xhtml" class="">Google Cloud Dialogflow</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="1ba71691-57f3-4dd8-a4a3-fda83116d0ac.xhtml" class="">Dialogflow overview</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="0c4e494c-b6fd-462b-a68d-161c0d69e354.xhtml" class="">Basics Dialogflow elements</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="276c7033-c3b0-4b99-ae5d-e8ecd2a4f16c.xhtml" class="">Agents</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="8bd3b602-5960-40ac-87f7-575ee20c64ea.xhtml" class="">Intent</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="b259267f-d57e-4cbe-abe2-9a142faac298.xhtml" class="">Entity</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="5f19e105-bb1c-483b-be45-baafa8875718.xhtml" class="">Action</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="c5804c0d-4cbb-4dc8-8e1a-b37ed9deb170.xhtml" class="">Context</a>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="4d665083-5777-43c2-8cd8-c348ea14447c.xhtml" class="">Building a chatbot with Dialogflow</a>
<ol><li style="list-style-type:none"
class=""
>
<a href="5c5944a4-4c4a-4b66-a6b2-a2d73b80d9b6.xhtml" class="">Agent creation</a>
</li>
<li style="list-style-type:none"
class=""
>
<a href="133ec404-2229-483d-a63d-13f594a85d3e.xhtml" class="">Intent definition</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none"
class=""
>
<a href="8fdbd094-8f02-4886-b98f-e53cea93b974.xhtml" class="">Summary</a>
</li>
</ol>
</li>
</ol>
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