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15 Completely Free Machine Learning and Deep Learning Books

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For python developers, Think Stats is a beginner friendly introduction to Statistics and Probability. You can either read this book online or download it as a PDF from the official greenteapress website. You can follow the books provided coded examples to learn statistics concepts and practical skills to work with data. This makes learning a lot easier and digesting mathematical equations fun. Code examples and solutions are available from this GitHub repository.


15 More Free Machine Learning and Deep Learning Books - KDnuggets

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I recently wrote an article compiling free machine learning and deep learning ebooks. It was well-received, and so I have decided to follow up with a second installation. If you're interested in delving into the intricacies of deep learning and want some FREE resources, carry on reading. This ebook goes through the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent. You will gain a deeper understanding of each architecture to help build your deep learning knowledge.


15 Free Machine Learning and Deep Learning Books - KDnuggets

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This book is split into 4 parts: Part I: Foundations, Part II: From Theory to Algorithms, Part III: Additional Learning Models, and Part IV: Advanced Theory. If you would like to see the content, click here. If you already have a basic understanding of Python and can apply it, you can further apply these skills and better understand the concepts of probability and statistics. It goes into depth and will take your Machine Learning journey to the next level. Statistics is a major part of Machine Learning, so the more you know the better.


Top 22 Best AI, Machine Learning and Deep Learning Books of All Time - New World : Artificial Intelligence

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To Be a Machine: Adventures Among Cyborgs, Utopians, Hackers, and the Futurists Solving the Modest Problem of Death (Mark O'Connell). "Flesh is a dead format," writes Mark O'Connell in To Be a Machine, his new nonfiction book about the contemporary transhumanist movement. It's an alarming statement, but don't kill the messenger: As he's eager to explain early in the book, the author is not a transhumanist himself. Instead, he's used To Be a Machine as a vehicle to dive into this loosely knit movement, which he sums up as "a rebellion against human existence as it has been given." In other words, transhumanists believe that technology -- specifically, a direct interface between humans and machines -- is the only way our species can progress from its current, far-than-ideal state.