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Data Science from Scratch: First Principles with Python

Name: Data Science from Scratch: First Principles with Python
Price: 28.78 USD
Availability: InStock
Rating: 4.4 (696 reviews)

4.4 of 5 Stars: Databases & Big Data - Data Science from Scratch: First Principles with Python

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Book Synopsis:

To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with New material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.

Get a crash course in Python

Learn the basics of linear algebra, statistics, and probability—and how and when they’re used in data science

Collect, explore, clean, munge, and manipulate data

Dive into the fundamentals of machine learning

Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering

Explore recommender systems, natural language processing, network analysis, MapReduce, and databases.

Details

Are you ready to unlock the power of data science? Look no further than the second edition of Data Science from Scratch: First Principles with Python. This comprehensive guide will not only teach you the tools and techniques necessary for data science, but also help you understand the underlying principles that drive them. With updated material on deep learning, statistics, and natural language processing, this book is your key to finding the valuable insights hidden within the data.

In today's data-driven world, Python is a must-know programming language. This book provides a crash course in Python, allowing you to quickly gain the necessary skills to succeed in data science. Whether you have a background in programming or are just starting out, author Joel Grus will guide you through the fundamentals, ensuring you have a solid foundation for your data science journey.

But what sets Data Science from Scratch apart is its focus on implementing algorithms from scratch. By understanding how these tools work under the hood, you'll gain a deeper understanding of their strengths and limitations. From collecting and cleaning data to exploring and manipulating it, this book will walk you through every step of the data science process.

One of the most exciting aspects of data science is machine learning, and this book covers it in detail. Learn how to implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering. With this knowledge, you'll be able to solve a wide range of real-world problems and make accurate predictions.

But data science doesn't stop at machine learning. Data Science from Scratch also delves into important topics such as recommender systems, natural language processing, network analysis, MapReduce, and databases. By exploring these areas, you'll have the tools to extract meaningful insights from even the messiest of data.

No matter your level of expertise, Data Science from Scratch: First Principles with Python is the ultimate resource for mastering data science. Start your journey today and unlock the full potential of data!

Get your copy of Data Science from Scratch: First Principles with Python now.

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