Ultimate Step by Step Guide to Deep Learning Using Python: Artificial Intelligence and Neural Network Concepts Explained in Simple Terms (Ultimate Step by Step Guide to Machine Learning Book 2) - KaedenHanson/KaedenHansonbook GitHub Wiki

 

Ultimate Step by Step Guide to Deep Learning Using Python: Artificial Intelligence and Neural Network Concepts Explained in Simple Terms (Ultimate Step by Step Guide to Machine Learning Book 2)



Ultimate Step by Step Guide to Deep Learning Using Python: Artificial Intelligence and Neural Network Concepts Explained in Simple Terms (Ultimate Step by Step Guide to Machine Learning Book 2)






*Start your Data Science career using Python today*Are you ready to start your new exciting career? Ready to master artificial intelligence and deep learning concepts?Are you overwhelmed with complexity of the books on this subject?Then let this breezy and fun little book on Python, Machine Learning and Deep Learning models make you a Data Scientist in 7 daysThis book continues from where the first book in the series, Ultimate Step by Step Guide to Machine Learning Using Python, left of. In the first book you were introduced to Python concepts such as:8226Data Structures like Pandas 8226Foundational libraries like Numpy, Seaborn and Scikit-Learn8226Regression analysis8226Classification8226Clustering8226Association Learning8226Dimension ReductionThis book builds on those concepts to expand on Machine Learning algorithms like:8226Linear and Logistical regression8226Decision tree8226Support vector machines (SVM)After that, this book takes you on a journey into Deep Learning and Neural Networks with important concepts and libraries like:8226Convolutional and Recurrent Neural Networks8226TensorFlow8226Keras8226PyTorch8226Keras8226Apache MXNet8226Microsoft Cognitive Toolkit (CNTK)The final part of the book covers all foundational concepts that are required for Amazon Web Services (AWS) Certified Machine Learning Specialization by explaining how to deploy your models at scale on Cloud technologies. While AWS is used in the book for illustrative purposes, Microsoft Azure and Google Cloud are also introduced as alternative cloud technologies. After reading this book you will be able to:8226Code in Python with confidence8226Build new machine learning and deep learning models from scratch8226Know how to clean and prepare your data for analytics8226Speak confidently about statistical analysis techniquesData Science was ranked the fast-growing field by LinkedIn and Data Scientist is one of the most highly sought after and lucrative careers in the worldIf you are on the fence about making the leap to a new and lucrative career, this is the book for youWhat sets this book apart from other books on the topic of Python and Machine learning: 8226Step by step code examples and explanation8226Complex concepts explained visually8226Real world applicability of the machine learning and deep learning models introducedWhat do I need to get started?You will have a step by step action plan in place once you finish this book and finally feel that you, can master data science and artificial intelligence and start a lucrative and rewarding career Ready to dive in to the exciting world of Python and Deep Learning?Then scroll up to the top and hit that BUY BUTTON

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