Science: Learn The Technique...: Principles Of Data

: Teaches you how to build and evaluate baseline machine learning models and use metrics to determine their success.

: The Third Edition includes advanced topics like Transfer Learning , Large Language Models (LLMs) such as GPT and BERT , and AI Governance for mitigating algorithmic bias.

: Covers the entire data science pipeline, from cleaning and preparing raw data to mining and visualization. Principles of Data Science: Learn the technique...

: Explains the fundamentals of computational mathematics, statistics, calculus, and probability in the context of data science.

: Goes beyond theory to help you perform actual data science tasks using Python (and R in some editions) to create actionable business insights. : Teaches you how to build and evaluate

The book by Sinan Ozdemir is designed to bridge the gap between mathematics, programming, and business analysis. Key features of this guide include:

: Enhances your coding skills by integrating data science theory for practical insights into data analysis. Key features of this guide include: : Enhances

Principles of Data Science: Understand, Analyze, and Predict Data Using Machine Learning Concepts and Tools