Probability and Statistics Essentials for Data Science and Machine Learning: 200+ examples and figures
A practical introduction to probability and statistics for data science and machine learning. This book uses more than 200 examples and figures to explain essential concepts, helping learners build a clear foundation in the mathematical ideas behind modern data-driven work.
About This Book
Probability and Statistics Essentials for Data Science and Machine Learning introduces core probability and statistics concepts for readers interested in data-driven fields.
The book is designed around more than 200 examples and figures, offering visual and practical support for understanding essential ideas.
Its focus connects foundational mathematics and statistics with data science and machine learning applications.
Written by Simit Tomar and Ajay Thakur, this resource is suitable for learners seeking a structured introduction to the subject.
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