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Mastering Numerical Computing with NumPy: Master scientific computing and perform complex operations with ease
Mastering Numerical Computing with NumPy: Master scientific computing and perform complex operations with ease

Enhance the power of NumPy and start boosting your scientific computing capabilities

Key Features

  • Grasp all aspects of numerical computing and understand NumPy
  • Explore examples to learn exploratory data analysis (EDA), regression, and clustering
  • Access...
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...
Beginning Java Data Structures and Algorithms: Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner
Beginning Java Data Structures and Algorithms: Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner

Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application.

Key Features

  • Explains in detail different algorithms and data...
Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks
Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks

Neural Networks and their implementation decoded with TensorFlow

About This Book

  • Develop a strong background in neural network programming from scratch, using the popular Tensorflow library.
  • Use Tensorflow to implement different kinds of neural networks – from simple...
Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications, 2nd Edition
Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications, 2nd Edition

Enter the exciting world of Julia, a high-performance language for technical computing

Key Features

  • Leverage Julia's high speed and efficiency for your applications
  • Work with Julia in a multi-core, distributed, and networked environment
  • Apply Julia to...
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.

Key Features

  • Get to grips with GPU programming...
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

  • Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
  • Explore deep neural...
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide

Key Features

  • A quick reference to all important deep learning concepts and their implementations
  • Essential tips, tricks, and hacks to train a variety of deep learning...
Programming 101: The How and Why of Programming Revealed Using the Processing Programming Language
Programming 101: The How and Why of Programming Revealed Using the Processing Programming Language

Understand the importance of programming, even if you’ve never programmed before! This book will teach you the basics of programming using the Processing programming language. You will create your own Processing sketches, using personal images, themes, or hobbies that you enjoy. 

The chapters in the book will...

Blockchain Basics: A Non-Technical Introduction in 25 Steps
Blockchain Basics: A Non-Technical Introduction in 25 Steps

In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.

This book...

Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code
Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code

You Will Learn Python!

 

Zed Shaw has perfected the world's best system for learning Python. Follow it and you will succeed-just like the hundreds of thousands of beginners Zed has taught to date! You bring the discipline,...

Electrical and Electronic Principles and Technology, Third Edition
Electrical and Electronic Principles and Technology, Third Edition
An introductory textbook for students of electronics and electrical engineering

* New colour layout helps navigation and highlights key learning points, formulae and exercises
* 400 worked problems and over 1,300 questions, all with answers
* Fully up to date with the
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