Description: From ML Algorithms to GenAI & LLMs by Aman Kharwal From ML Algorithms to GenAI & LLMs, Written by Aman Kharwal, founder of Statso.io, is the second edition of the book - Machine Learning Algorithms: Handbook. This book offers a comprehensive and expanded guide through the evolving world of machine learning and generative AI. Whether you are an experienced data scientist or just starting, this edition delivers practical insights and clear explanations of essential concepts like regression, classification, clustering, deep learning, and time series forecasting. This edition introduces two new chapters: "Mastering GenAI and LLMs" and "Understanding GANs for Generative AI with a Hands-on Project", which provide deep dives into large language models and generative adversarial networks (GANs). With hands-on Python code snippets and real-world project examples, the book bridges the gap between theory and application, offering you the tools to apply machine learning techniques effectively. Additional highlights include performance evaluation methods, data preprocessing techniques, feature engineering, and a quick reference appendix for tuning machine learning models. The book equips you with the necessary skills to navigate modern machine learning and AI, which makes it an essential resource for anyone interested in the field. FORMAT Paperback CONDITION Brand New Details ISBN9367834802 Author Aman Kharwal Pages 288 Publisher Bluerose Publishers Year 2024 ISBN-10 9367834802 ISBN-13 9789367834800 Format Paperback Publication Date 2024-10-22 Imprint Bluerose Publishers Subtitle Master ML Algorithms and Generative AI & LLMs with Python from scratch!: Master MAlgorithms and Generative AI & LLMs with Python from scratch! Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:168630043;
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Book Title: From ML Algorithms to GenAI & LLMs
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