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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...
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing
Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and...
Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use...
Learn Robotics Programming: Build and control autonomous robots using Raspberry Pi 3 and Python
Learn Robotics Programming: Build and control autonomous robots using Raspberry Pi 3 and Python

Gain experience of building a next-generation collaboration robot

Key Features

  • Get up and running with the fundamentals of robotic programming
  • Program a robot using Python and the Raspberry Pi 3
  • Learn to build a smart robot with interactive and AI-enabled...
Machine Learning with AWS: Explore the power of cloud services for your machine learning and artificial intelligence projects
Machine Learning with AWS: Explore the power of cloud services for your machine learning and artificial intelligence projects

Use artificial intelligence and machine learning on AWS to create engaging applications

Key Features

  • Explore popular AI and ML services with their underlying algorithms
  • Use the AWS environment to manage your AI workflow
  • Reinforce key concepts with hands-on...
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Developing Conversational Interfaces for iOS: Add Responsive Voice Control to Your Apps
Developing Conversational Interfaces for iOS: Add Responsive Voice Control to Your Apps

Learn how to incorporate your own conversational interfaces into iOS applications. This book will help you work comfortably multiple frameworks, including Apple's Speech and SiriKit frameworks; Google's API.AI conversational interfaces platform; and Facebook’s Wit.ai.

You'll explore the basics of natural
...
Mastering Arduino: A project-based approach to electronics, circuits, and programming
Mastering Arduino: A project-based approach to electronics, circuits, and programming

Mastering Arduino is a practical, no-nonsense guide that will teach you the electronics and programming skills that you need to create advanced Arduino projects.

Key Features

  • Covers enough electronics and code for users at any level
  • Includes complete circuit diagrams for...
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow

Key Features

  • Weave neural networks into linguistic applications across various platforms
  • Perform NLP tasks and train its models using NLTK and TensorFlow
  • Boost your NLP...
Getting Started with Python for the Internet of Things: Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi
Getting Started with Python for the Internet of Things: Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi

Build clever, collaborative, and powerful automation systems with the Raspberry Pi and Python.

Key Features

  • Create your own Pi-Rover or Pi-Hexipod robots
  • Develop practical applications in Python using Raspberry Pi
  • Build your own Jarvis, a highly advanced...
Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks

Key Features

  • Understand the foundations of meta learning algorithms
  • Explore practical examples to explore...
MPLS Fundamentals
MPLS Fundamentals
As an escalation engineer, I experienced the boom of Multiprotocol Label Switching (MPLS) networking first hand. I saw the first trials of MPLS in service provider networks and saw MPLS successfully expanding further into enterprise networks. In addition, I witnessed new MPLS technologies coming into existence, which the networking industry...
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