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Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...
Python Geospatial Analysis Cookbook
Python Geospatial Analysis Cookbook

Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python

About This Book

  • Explore the practical process of using geospatial analysis to solve simple to complex problems with reusable recipes
  • Concise step-by-step instructions to teach you...
Build Supercomputers with Raspberry Pi 3
Build Supercomputers with Raspberry Pi 3

Key Features

  • Carlos R. Morrison from NASA will teach you to build a supercomputer with Raspberry Pi 3
  • Deepen your understanding of setting up host nodes, configuring networks, and automating mountable drives
  • Learn various math, physics, and engineering applications to solve complex...
A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R
A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R

Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data...

Developing Analytic Talent: Becoming a Data Scientist
Developing Analytic Talent: Becoming a Data Scientist

Learn what it takes to succeed in the the most in-demand tech job

Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT...

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

Summary

Introducing 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.

...

The Data Science Design Manual (Texts in Computer Science)
The Data Science Design Manual (Texts in Computer Science)

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data.

The...

Data Science from Scratch: First Principles with Python
Data Science from Scratch: First Principles with Python

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from...

Practical Data Science Cookbook - Second Edition
Practical Data Science Cookbook - Second Edition

Over 85 recipes to help you complete real-world data science projects in R and Python

About This Book

  • Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data
  • Get beyond the theory and implement real-world projects in data science using...
An Introduction to the Analysis of Algorithms (2nd Edition)
An Introduction to the Analysis of Algorithms (2nd Edition)

Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully...

Topology for Computing (Cambridge Monographs on Applied and Computational Mathematics)
Topology for Computing (Cambridge Monographs on Applied and Computational Mathematics)
Written by a computer scientist for computer scientists, this book teaches topology from a computational point of view, and shows how to solve real problems that have topological aspects involving computers. Such problems arise in many areas, such as computer graphics, robotics, structural biology, and chemistry. The author starts from the basics...
Algorithm Design
Algorithm Design
Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the...
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