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Books tags: scientist
Practical Web Scraping for Data Science: Best Practices and Examples with Python
Practical Web Scraping for Data Science: Best Practices and Examples with Python

This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full...

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Kalman Filtering: Theory and Practice Using MATLAB
Kalman Filtering: Theory and Practice Using MATLAB

From Reviews of the First Edition

"An authentic magnum opus worth much more than its weight in gold!"
—IEEE Transactions on Automatic Control

The proven textbook on Kalman filtering—now fully updated, revised, and expanded

...

Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras
Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras

Explore various Generative Adversarial Network architectures using the Python ecosystem

Key Features

  • Use different datasets to build advanced projects in the Generative Adversarial Network domain
  • Implement projects ranging from generating 3D shapes to a face aging...
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

  • Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action
  • Get to grips with Keras and practice on real-world unstructured...
OpenGL Data Visualization Cookbook
OpenGL Data Visualization Cookbook

Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL

About This Book

  • Get acquainted with a set of fundamental OpenGL primitives and concepts that enable users to create stunning visuals of arbitrarily complex 2D and 3D...
Fuzzy Expert Systems and Fuzzy Reasoning
Fuzzy Expert Systems and Fuzzy Reasoning
The most advanced systems that can emulate human thought

Fuzzy Expert Systems and Fuzzy Reasoning presents new, cutting-edge theories that enable programmers to emulate human thought processes to solve real-life problems. This text begins with an overview and comparison of current approaches, including rule-based and neural net systems that...

Bluetooth Essentials for Programmers
Bluetooth Essentials for Programmers
This book provides an introduction to Bluetooth programming, with a specific focus on developing real code. The authors discuss the major concepts and techniques involved in Bluetooth programming, with special emphasis on how they relate to other networking technologies. They provide specific descriptions and examples for creating applications in...
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

  • Build a variety of Hidden Markov Models (HMM)
  • Create and apply models to any sequence of data to analyze, predict, and extract valuable...
Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On Your Data
Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On Your Data

Key Features

  • Learn how to tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize data
  • Get beyond the theory with real-world projects
  • Expand your numerical programming skills through step-by-step code examples and learn more about the robust...
xUnit Test Patterns: Refactoring Test Code (The Addison-Wesley Signature Series)
xUnit Test Patterns: Refactoring Test Code (The Addison-Wesley Signature Series)
Automated testing is a cornerstone of agile development. An effective testing strategy will deliver new functionality more aggressively, accelerate user feedback, and improve quality. However, for many developers, creating effective automated tests is a unique and unfamiliar challenge.

xUnit Test Patterns is the...

Talend for Big Data
Talend for Big Data

If you want to start working on big data projects fast, this is the guide you've been looking for. Delve deep into Talend and discover how just how easily you can revolutionize your data handling and presentation.

Overview

  • Write complex processing job codes easily with the help of clear and step by...
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