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Books tags: self-paced
Python Robotics Projects: Build smart and collaborative robots using Python
Python Robotics Projects: Build smart and collaborative robots using Python

Leverage the power of Python to build DIY robotic projects

Key Features

  • Design, build, and stimulate collaborative robots
  • Build high-end robotics projects such as a customized personal Jarvis
  • Leverage the power of Python and ROS for DIY robotic...
Enterprise Cybersecurity Study Guide: How to Build a Successful Cyberdefense Program Against Advanced Threats
Enterprise Cybersecurity Study Guide: How to Build a Successful Cyberdefense Program Against Advanced Threats

Use the methodology in this study guide to design, manage, and operate a balanced enterprise cybersecurity program that is pragmatic and realistic in the face of resource constraints and other real-world limitations. This guide is an instructional companion to the book Enterprise Cybersecurity: How to Build a Successful...

Data Science Fundamentals for Python and MongoDB
Data Science Fundamentals for Python and MongoDB
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate....
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Build a strong foundation of machine learning algorithms in 7 days

Key Features

  • Use Python and its wide array of machine learning libraries to build predictive models
  • Learn the basics of the 7 most widely used machine learning algorithms within a week
  • Know...
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python

One stop guide to implementing award-winning, and cutting-edge CNN architectures

Key Features

  • Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques
  • Implement CNN models on image classification, transfer learning, Object Detection,...
Bash Cookbook: Leverage Bash scripting to automate daily tasks and improve productivity
Bash Cookbook: Leverage Bash scripting to automate daily tasks and improve productivity

Create simple to advanced shell scripts and enhance your system functionality with effective recipes

Key Features

  • Automate tedious and repetitive tasks
  • Create several novel applications ranging from a simple IRC logger to a Web Scraper
  • Manage your system...
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...
MongoDB 4 Quick Start Guide: Learn the skills you need to work with the world's most popular NoSQL database
MongoDB 4 Quick Start Guide: Learn the skills you need to work with the world's most popular NoSQL database

A fast paced guide that will help you to create, read, update and delete data using MongoDB

Key Features

  • Create secure databases with MongoDB
  • Manipulate and maintain your database
  • Model and use data in a No SQL environment with MongoDB

...

Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models

Key Features

  • Solve predictive modeling problems using the most popular machine learning Java libraries
  • Explore data processing, machine learning, and NLP concepts...
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries

Key Features

  • Implement Q-learning and Markov models with Python and OpenAI
  • Explore the power of TensorFlow to build self-learning models
  • Eight AI...
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

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...
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