BASICS OF MATHEMATICS IN DATA SCIENCE

Discover the fascinating world of mathematics that forms the foundation of data analysis and machine learning. This book is the perfect guide for anyone who wants to understand and effectively use mathematical tools in their work with data. Gain a solid foundation that will allow you to avoid mistakes and make informed project decisions.

• Understanding the mathematical foundations of data science
• Practical application of mathematical concepts
• Avoiding costly project errors
• Effective use of data
• Linear and logistic regression
• Statistical methods for data description
• Manipulation of vectors and matrices

In today's world, where data plays a key role, the ability to analyze and interpret it is invaluable. Data science and machine learning are becoming increasingly popular, but many people forget the solid mathematical foundations. This book fills this gap, offering a comprehensive introduction to linear algebra, probability calculus, and statistics.

With this book, you will learn to use Python code and its libraries to explore mathematical concepts. You will learn linear and logistic regression, learn to describe data with statistical methods and test hypotheses. You will learn how to manipulate vectors and matrices, combine mathematical knowledge with the use of regression models, and avoid typical mistakes in the application of mathematics in data science. This is a practical guide that will help you become a professional data analyst.

Helion Publishing House puts in your hands a publication that explains mathematical issues in an accessible way, avoiding scientific jargon and focusing on practical examples. This makes learning knowledge easy and enjoyable. Mastering the knowledge contained here will allow you to avoid many costly project errors and choose optimal solutions more accurately. Understand mathematics and use data effectively!

The book has 288 pages, a format of 166x236 mm, and was published in 2023 in paperback. It is the perfect read for anyone who wants to delve into the mathematical foundations of data science and learn to apply concepts in practice. Regardless of your level of advancement, this book will help you understand mathematics and effectively use data in your work.