{"product_id":"principles-of-data-science-third-edition-a-beginners-guide-to-essential-math-and-coding-skills-for-data-fluency-and-machine-learning-paperback","title":"Principles of Data Science - Third Edition: A beginner's guide to essential math and coding skills for data fluency and machine learning - Paperback","description":"\u003cp\u003eby \u003cb\u003eSinan Ozdemir\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTransform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your data\u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eLearn practical data science combined with data theory to gain maximum insights from data\u003c\/li\u003e\n\u003cli\u003eDiscover methods for deploying actionable machine learning pipelines while mitigating biases in data and models\u003c\/li\u003e\n\u003cli\u003eExplore actionable case studies to put your new skills to use immediately\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003ePrinciples of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights.\u003c\/p\u003e\u003cp\u003eStarting with cleaning and preparation, you'll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you'll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data.\u003c\/p\u003e\u003cp\u003eWith a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You'll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you'll explore medium-level data governance, including data provenance, privacy, and deletion request handling.\u003c\/p\u003e\u003cp\u003eBy the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eMaster the fundamentals steps of data science through practical examples\u003c\/li\u003e\n\u003cli\u003eBridge the gap between math and programming using advanced statistics and ML\u003c\/li\u003e\n\u003cli\u003eHarness probability, calculus, and models for effective data control\u003c\/li\u003e\n\u003cli\u003eExplore transformative modern ML with large language models\u003c\/li\u003e\n\u003cli\u003eEvaluate ML success with impactful metrics and MLOps\u003c\/li\u003e\n\u003cli\u003eCreate compelling visuals that convey actionable insights\u003c\/li\u003e\n\u003cli\u003eQuantify and mitigate biases in data and ML models\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eIf you are an aspiring novice data scientist eager to expand your knowledge, this book is for you. Whether you have basic math skills and want to apply them in the field of data science, or you excel in programming but lack the necessary mathematical foundations, you'll find this book useful. Familiarity with Python programming will further enhance your learning experience.\u003c\/p\u003eTable of Contents\u003col\u003e\n\u003cli\u003eData Science Terminology\u003c\/li\u003e\n\u003cli\u003eTypes of Data\u003c\/li\u003e\n\u003cli\u003eThe Five Steps of Data Science\u003c\/li\u003e\n\u003cli\u003eBasic Mathematics\u003c\/li\u003e\n\u003cli\u003eImpossible or Improbable - A Gentle Introduction to Probability\u003c\/li\u003e\n\u003cli\u003eAdvanced Probability\u003c\/li\u003e\n\u003cli\u003eWhat are the Chances? An Introduction to Statistics\u003c\/li\u003e\n\u003cli\u003eAdvanced Statistics\u003c\/li\u003e\n\u003cli\u003eCommunicating Data \u003c\/li\u003e\n\u003cli\u003eHow to Tell if Your Toaster is Learning - Machine Learning Essentials\u003c\/li\u003e\n\u003cli\u003ePredictions Don't Grow on Trees, or Do They?\u003c\/li\u003e\n\u003cli\u003eIntroduction to Transfer Learning and Pre-trained Models\u003c\/li\u003e\n\u003cli\u003eMitigating Algorithmic Bias and Tackling Model and Data Drift\u003c\/li\u003e\n\u003cli\u003eAI Governance\u003c\/li\u003e\n\u003cli\u003eNavigating Real-World Data Science Case Studies in Action\u003c\/li\u003e\n\u003c\/ol\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 326\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.68 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 31, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51749297783072,"sku":"9781837636303","price":60.46,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/7a125e3f78dc4d431086b5dadeaaa89f.webp?v=1779929311","url":"https:\/\/ebocreations.com\/products\/principles-of-data-science-third-edition-a-beginners-guide-to-essential-math-and-coding-skills-for-data-fluency-and-machine-learning-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}