{"product_id":"python-programming-machine-learning-data-science-tensorflow-pytorch-xgboost-statsmodels-9798231693771","title":"Python Programming: Machine Learning \u0026 Data Science; TensorFlow, PyTorch, XGBoost, Statsmodels","description":"\u003cp\u003e • Author(s): E3\u003cbr\u003e • Publisher: E3\u003cbr\u003e • Publisher Imprint: E3\u003cbr\u003e • BISAC: Languages - Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePreface\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eIn recent years, \u003cem\u003eMachine Learning\u003c\/em\u003e and \u003cem\u003eData Science\u003c\/em\u003e have revolutionized the way we understand and interact with data. From predictive analytics in finance and healthcare to real-time recommendation systems in e-commerce and streaming platforms, intelligent algorithms are now an integral part of the modern digital landscape. This book, \u003cstrong\u003e\"Machine Learning \u0026amp; Data Science: TensorFlow, PyTorch, XGBoost, Statsmodels,\"\u003c\/strong\u003e is crafted for learners and practitioners who aim to bridge the gap between theory and hands-on application using some of the most powerful tools in the industry.\u003c\/li\u003e\n\u003cli\u003eThe rapid expansion of available data and computational power has made it possible to deploy increasingly complex models. However, success in this field requires more than just technical proficiency-it demands an understanding of the appropriate frameworks, their strengths, and the contexts in which they excel. This book is structured to serve that purpose.\u003c\/li\u003e\n\u003cli\u003eWe explore \u003cstrong\u003eTensorFlow\u003c\/strong\u003e and \u003cstrong\u003ePyTorch\u003c\/strong\u003e, the two most widely adopted deep learning frameworks, each with its own philosophy and design choices. TensorFlow, with its scalable ecosystem and production-oriented approach, is ideal for building deployable machine learning systems. PyTorch, known for its intuitive design and dynamic computation graphs, is a favorite in the research community and for rapid prototyping.\u003c\/li\u003e\n\u003cli\u003eIn contrast, \u003cstrong\u003eXGBoost\u003c\/strong\u003e represents the pinnacle of gradient boosting techniques-efficient, scalable, and often the go-to choice for structured data and tabular modeling competitions. And then there's \u003cstrong\u003eStatsmodels\u003c\/strong\u003e, a library that brings the richness of statistical modeling into the mix, enabling interpretability and insight that purely algorithmic models may lack.\u003c\/li\u003e\n\u003cli\u003eThis book is designed with the following goals: \u003cul\u003e\n\u003cli\u003eTo \u003cstrong\u003eprovide a comprehensive introduction\u003c\/strong\u003e to the foundational concepts of machine learning and data science.\u003c\/li\u003e\n\u003cli\u003eTo \u003cstrong\u003eillustrate practical implementations\u003c\/strong\u003e using TensorFlow, PyTorch, XGBoost, and Statsmodels through real-world examples and projects.\u003c\/li\u003e\n\u003cli\u003eTo \u003cstrong\u003eequip readers with the skills to choose and combine tools\u003c\/strong\u003e appropriately depending on the nature of the data and the problem at hand.\u003c\/li\u003e\n\u003cli\u003eTo \u003cstrong\u003efoster a deep understanding\u003c\/strong\u003e of not just how models work, but why they behave the way they do.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eWhether you are a student seeking to deepen your knowledge, a developer transitioning into the field, or a data scientist aiming to master additional tools, this book offers a balanced journey through both the statistical roots and the cutting-edge practices of machine learning.\u003c\/li\u003e\n\u003cli\u003eMay this book serve not just as a manual, but as a roadmap in your data science journey-helping you think critically, implement confidently, and build responsibly.\u003c\/li\u003e\n\u003cli\u003e- \u003cem\u003eThe Author\u003c\/em\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46398089461911,"sku":"9798231693771","price":4493.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798231693771.webp?v=1769043281","url":"https:\/\/atlanticbooks.com\/products\/python-programming-machine-learning-data-science-tensorflow-pytorch-xgboost-statsmodels-9798231693771","provider":"Atlantic Books","version":"1.0","type":"link"}