2) Building Machine Learning Systems with Python - Willi Richert, Luis Pedro Coelho This book goes into significant detail on how to use scikit-learn for regression and classification tasks. In addition to extensive coverage on scikit-learn it actually considers other libraries such as gensim (for...
Building Machine Learning Systems with Python(2013): Master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide. Learning scikit-learn: Machine Learning in Python(2013): Experience the benefits of machine learning techniques by applyin...
Python machine learning practitioners will love this book.Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlowis a great resource to get an overview of machine learning and sharpen your practical skills. Every chapter focuses on one machine learning technique, providing detailed informatio...
Hands-On Machine Learning with scikit:learn and Scientific Python Toolkits上QQ阅读APP,阅读体验更流畅 领看书特权 Summary 上QQ阅读看本书,第一时间看更新 登录订阅本章 > Other Books You May Enjoy 上QQ阅读看本书,第一时间看更新 登录订阅本章 >...
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems “By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding...
Deep Learning with Python was written by a creator of Keras, one of the most popular machine learning libraries in Python. The book starts gently, is very practical, gives pieces of code you can use right away and has in general many useful tips on using deep learning. An absolute must ...
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Learn the Iris dataset, find out how to build complex classifiers, and get to grips with clustering through practical examples that deliver complex ideas with clarity. Dig deeper into machine learning, and discover guidance on classification and regression, with practical machine learning projects ...
focusing on how GPT models are revolutionizing various sectors, including software development, content creation, and data analysis. This hub is ideal for both enthusiasts and professionals seeking to delve into the world of AI and machine learning, offering a rich source of knowledge on implementing...