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Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

Key Features

  • Think deeply as a developer about your strategy and toolset in data science
  • Discover the best tools that...
Machine Learning for Finance: Principles and practice for financial insiders
Machine Learning for Finance: Principles and practice for financial insiders

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

  • Explore advances in machine learning and how to put them to work in financial industries
  • Clear explanation and expert discussion of how machine learning works, with...
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web

Key Features

  • Build industry-standard recommender systems
  • ...
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...
Mastering Blockchain: Distributed ledger technology, decentralization, and smart contracts explained, 2nd Edition
Mastering Blockchain: Distributed ledger technology, decentralization, and smart contracts explained, 2nd Edition

Learn about cryptography and cryptocurrencies, so you can build highly secure, decentralized applications and conduct trusted in-app transactions.

Key Features

  • Get to grips with the underlying technical principles and implementations of blockchain
  • Build powerful...
Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers
Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers

Choose the smarter way to learn about containerizing your applications and running them in production.

Key Features

  • Deploy and manage highly scalable, containerized applications with Kubernetes
  • Build high-availability Kubernetes clusters
  • Secure your...
Blockchain for Enterprise: Build scalable blockchain applications with privacy, interoperability, and permissioned features
Blockchain for Enterprise: Build scalable blockchain applications with privacy, interoperability, and permissioned features

Implement blockchain principles in your choice of domain using Ethereum

Key Features

  • Build permissioned enterprise-grade blockchain applications from scratch
  • Implement Blockchain-as-a-Service to enterprises in terms of deployment and security
  • Achieve...
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh

Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python

Key Features

  • A step by step approach to creating interactive plots with Bokeh
  • Go from nstallation all the way to deploying your very own Bokeh application
  • Work...
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so...
Mastering ROS for Robotics Programming - Second Edition: Design, build, and simulate complex robots using the Robot Operating System
Mastering ROS for Robotics Programming - Second Edition: Design, build, and simulate complex robots using the Robot Operating System

Discover best practices and troubleshooting solutions when working on ROS

Key Features

  • Develop complex robotic applications using ROS to interface robot manipulators and mobile robots
  • Gain insight into autonomous navigation in mobile robots and motion planning in robot...
React Router Quick Start Guide: Routing in React applications made easy
React Router Quick Start Guide: Routing in React applications made easy

Learn how you can implement routing in a React Web/Native application using React-Router library

Key Features

  • Create nested routes and complex workflows for your applications
  • Learn Routing in server-side rendered applications and in Native mobile applications
  • ...
Java 11 Cookbook: A definitive guide to learning the key concepts of modern application development, 2nd Edition
Java 11 Cookbook: A definitive guide to learning the key concepts of modern application development, 2nd Edition

Solutions for modular, functional, reactive, GUI, network, and multithreaded programming

Key Features

  • Explore the latest features of Java 11 to implement efficient and reliable code
  • Develop memory-efficient applications, understanding new garbage collection in Java 11
  • ...
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