This trend enables the rise of new features, products, and entire industries。 With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today。 You'll learn how to use the power of pre-trained large language models for use cases like ...
The combination of a really useful github, practical implementation of ML projects and the core intuitions make the title truly accurate; Hands-on! Originally I read the first part of the book to get a feeling with Scikit-learns ML tools for Python and recently I picked it up to read a ...
Integrate machine learning models into a live trading strategy on Quantopian Evaluate strategies using reliable backtesting methodologies for time series Design and evaluate deep neural networks using Keras,PyTorch,and TensorFlow Work with reinforcement learning for trading strategies in the OpenAI Gym About...
Hands-On ML was one of books in list but I start with Deep Learning with Python since main language in ML courses in Master was Python, and read a couple more but really no finish left on beginning to be sincere I really enjoy Hands-On over the other books I read and really recommend...
19 Python Programming for Beginners: 2 Books in 1 - The Ultimate Step-by-Step Guide To Learn Python Programming Quickly with Practical Exercises (Computer Programming) 20 Hands-On Algorithmic Trading with Python: A practical guide to using NumPy, pandas, Matplotlib, and Quantopian for automated ...
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