Principles Of Data Science Third Edition A Beginners Guide To Essential Math And Coding Skills For Data Fluency And Machine Learning 3 Converted Sinan Ozdemir by Sinan Ozdemir instant download after payment.

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A beginner’s guide to essential math and coding skills for data fluency and machine learning.Principles 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.
Starting 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.
- Master the fundamentals steps of data science through practical examples
- Bridge the gap between math and programming using advanced statistics and ML
- Harness probability, calculus, and models for effective data control
- Explore transformative modern ML with large language models
- Evaluate ML success with impactful metrics and MLOps
- Create compelling visuals that convey actionable insights
- Quantify and mitigate biases in data and ML models
If 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.