Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
Python Machine Learning, Third Edition is a comprehensive guide that melds theory with practical applications in machine learning and deep learning using Python. This updated edition is infused with clear and intuitive explanations that delve deep into machine learning techniques, while also presenting the latest enhancements in TensorFlow 2 and the Keras API. Readers will immerse themselves in substantial topics such as Generative Adversarial Networks (GANs) and reinforcement learning, gaining skills to build and evaluate robust machine learning models through hands-on examples. the book serves as both a tutorial for beginners and a reference for seasoned practitioners, emphasizing the underlying principles of machine learning enabling you to create your own applications. A robust resource, it guides you through practical applications including image classification, sentiment analysis, and neural network training, making it the perfect companion for Python developers eager to deepen their machine learning acumen.
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Machine Learning in Production: From Models to Products
This innovative textbook breaks away from traditional machine learning focus by emphasizing how to build real-world software products, not just models. It covers the entire development lifecycle-from requirements to quality assurance-integrating software engineering and machine learning. Key features include:
- Coverage of cutting-edge research
- Engineering perspective on production-ready systems
- Proven effectiveness in educational settings
- Supplemental resources like slides and videos
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machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Machine Learning for Algorithmic Trading
Leverage machine learning to design and back-test automated trading strategies for real-world markets using powerful libraries like pandas, TA-Lib, scikit-learn, LightGBM, TensorFlow 2, and more. This second edition provides a comprehensive understanding of building and evaluating complex models, including supervised, unsupervised, and reinforcement learning techniques. Users will learn to work with diverse data streams, such as fundamental and alternative data, to derive tradeable signals, while also mastering financial feature engineering and performance evaluation. By the end of this journey, you’ll be equipped to implement your own systematic trading strategies and backtest them effectively using tools like Zipline and backtrader.
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the Ultimate Generative AI For Beginners Collection: The 3-in-1 Guide to Learn AI, Deep learning & ChatGPT in Just Minutes a Day with Hands-On projects – Even if You’re Not tech-Savvy
The Ultimate Generative AI For Beginners Collection
Unlock the power of Generative AI with this essential 3-in-1 collection, designed for beginners and those new to AI concepts. This guide takes you through the fundamentals of AI, deep learning, and practical applications, even if you lack tech-savvy. Dive into tools like ChatGPT and DALL·E to fuel your creative projects, while exploring real-world applications across various industries. With clear, step-by-step lessons and hands-on projects, you’ll learn to navigate AI’s capabilities-from building chatbots to understanding advanced neural network architectures. Enhance your career and creative potential by mastering AI today!
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Build a Large Language Model (From Scratch)
Discover how to create, train, and enhance large language models (LLMs) with “” by bestselling author Sebastian Raschka. This comprehensive guide breaks down every step involved in building your own LLM, from initial design to pretraining and fine-tuning for specific tasks. Features include planning and coding an LLM, preparing suitable datasets, fine-tuning models for text classification, using human feedback to enhance instruction following, and loading pretrained weights. this hands-on journey demystifies the complexities of generative AI, equipping you to construct a GPT-style model capable of running on a standard laptop. The book also includes access to free eBooks in PDF and ePub formats with your purchase.
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