Learn IT - Books tags e-learning

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

Apress, 2020

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.

The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0....

Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Packt Publishing, 2018

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

Learn the fundamentals of Python programming with interactive projects

Apply Python to data...

Python Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming

Apress, 2019

Immerse yourself in learning Python and introductory data analytics with this book’s project-based approach. Through the structure of a ten-week coding bootcamp course, you’ll learn key concepts and gain hands-on experience through weekly projects.

Each chapter in this book is presented as a full week of...

Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Packt Publishing, 2018

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

Explore reinforcement learning concepts and their implementation using TensorFlow

Discover different problem-solving methods for reinforcement...

Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python

Apress, 2019

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms...

The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects

Apress, 2019

Become a Blockchain developer and design, build, publish, test, maintain and secure scalable decentralized Blockchain projects using Bitcoin, Ethereum, NEO, EOS and Hyperledger.

This book helps you understand Blockchain beyond development and crypto to better harness its power and capability. You will learn...

Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Packt Publishing, 2018

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

Explore deep learning across computer vision, natural language processing (NLP), and image processing

Discover best practices for the training of deep neural...

Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks

No Starch Press, 2019

Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.

Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian...

Google Flutter Mobile Development Quick Start Guide: Get up and running with iOS and Android mobile app development

Packt Publishing, 2019

A fast-paced guide to get you started with cross-platform mobile application development with Google Flutter

Key Features

Understand the fundamentals of Flutter and get started with cross-platform mobile app development.

Learn about different widgets in Flutter and...

Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)

Springer, 2019

This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines. It also provides numerical methods for solving these problems using suitable algorithms and for writing computer codes to find solutions. For discrete...

Composing Software: An Exploration of Functional Programming and Object Composition in JavaScript

Independent Publishers Group, 2018

All software design is composition: the act of breaking complex problems down into smaller problems and composing those solutions. Most developers have a limited understanding of compositional techniques. It's time for that to change.In "Composing Software", Eric Elliott shares the fundamentals of composition, including both...

Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

Packt Publishing, 2018

Write modern natural language processing applications using deep learning algorithms and TensorFlow

Key Features

Focuses on more efficient natural language processing using TensorFlow

Covers NLP as a field in its own right to improve understanding for choosing TensorFlow...

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