Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

ĐẢM BẢO " KHÔNG LỖI , KHÔNG ĐEN HÌNH ,KHÔNG ƯNG HOÀN TRẢ TIỀN "

Bản in đen trắng - Bìa mầu, gáy keo nhiệt cực chắc chắn.

Giấy in ngoại nên viết vẽ và hightlight thoải mái.

Chất lượng rõ nét, chữ rõ ràng, giá rất tốt cho mọi người.

Mọi chi tiết xin liên hệ với Shop.

------------------------------------------------------------------------------------

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools: 320 pages

Author : Davy Cielen, Arno Meysman, Mohamed Ali

Language : English

1) Book Description

ntroducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started.

About the Book

Introducing Data ScienceIntroducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You’ll explore data visualization, graph databases, the use of NoSQL, and the data science process. You’ll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you’ll have the solid foundation you need to start a career in data science.

What’s Inside

Handling large data

Introduction to machine learning

Using Python to work with data

Writing data science algorithms

Table of Contents

Data science in a big data world

The data science process

Machine learning

Handling large data on a single computer

First steps in big data

Join the NoSQL movement

The rise of graph databases

Text mining and text analytics

Data visualization to the end user

2) About Author

Davy Cielen is one of the founders and managing partners of Optimately where he focuses on leading and developing data science projects and solutions in various sectors and closely follows new developments in data science. Before Optimately he worked on data science and big data projects at a major retailer.

Arno Meysman is one of the founders and managing partners of Optimately where he focuses on leading and developing data science projects and solutions in various sectors and closely follows new developments in data science. Before Optimately he worked on data science and big data projects at a major retailer. Apart from data science he is also into data visualisation and generally "Creating data-driven things that are smart, interactive and pretty".

Mohamed Ali is one of the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various

sectors.