Hands On Scikit Learn And Tensorflow Pdf
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- Hands-On Machine Learning with Scikit-Learn and TensorFlow
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
- Hands-On Machine Learning with Scikit-Learn & TensorFlow
- Machine Learning (ML)
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.
Hands-On Machine Learning with Scikit-Learn and TensorFlow
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined …. Statistical methods are a key part of data science, yet few data scientists have formal statistical …. With the resurgence of neural networks in the s, deep learning has become essential for machine …. Skip to main content.
Machine learning is rapidly becoming an essential skill for data scientists and it has been applied in most, if not all aspects of science including Medical Physics. This textbook, while not walking through examples in the same level of detail as Chollet, definitely filled in the theoretical knowledge I felt I was missing. However, someone with a good python background can easily fill in the missing code to make their own full working examples. Having said that, the book also includes a link to a GitHub repository where the reader can download many practice data sets and Jupyter notebooks with complete machine learning examples to supplement their learning. This book includes footnotes at the bottom of each page with useful references to the original papers which the concepts currently being discussed were first described, or sometimes, just humorous observations. The author often explains challenging concepts with useful analogies which I found very helpful. One example of this which I think deserves repeating here was an analogy of dropout regularisation.
Hands-On Machine Learning with Scikit-Learn & TensorFlow
English Pages Year Build, scale, and deploy deep neural network models using the star libraries in Python About This Book Delve into advan. Table of contents : Contents
Machine Learning (ML)
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