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Learning Robotics Using Python

About This Book Design, simulate, build and program an interactive autonomous mobile robot Program Robot Operating System using Python;

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Getting Started with Python for the Internet of Things

-Hexipod robots Develop practical applications in Python using Raspberry Pi Build your own Jarvis, a highly advanced computerized AI Book;

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Python Robotics Projects

projects, such as machine learning enabled home automation system (Jarvis), vision processing based robots and a self-driven robotic vehicle using;

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Artificial Intelligence Basics

machine learning are covered in detail, followed by separate programming chapters on Prolog and Python. The concluding chapter on artificial;

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Artificial Intelligence for Robotics

and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an;

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Python

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book * Understand;

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Hands-On Image Processing with Python

Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key Features Practical;

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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter;

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Python All-in-One For Dummies

languages in the world. Developers use Python in app development, web development, data science, machine learning, and even in coding education;

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Building Machine Learning Systems with Python

Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine;

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Learning Pandas

comfortable in performing data exploration and analysis on Python using pandas Step-by-step demonstration of using Python and pandas with interactive;

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Hands-On Data Science and Python Machine Learning

techniques of data analysis * Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods * Learn how;

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Python for Probability, Statistics, and Machine Learning

, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also;

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Python for Probability, Statistics, and Machine Learning

develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting;

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Python for Probability Statistics and Machine Learning

develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting;

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Python Machine Learning

If you've been using Python for some time and want to become even better at it, then Python Machine Learning is the first book you should;

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Hands-On Neuroevolution with Python

Python. You'll also get hands-on experience with popular Python libraries and cover examples of classical reinforcement learning, path planning;

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Python Machine Learning Cookbook

perform machine learning for each one of these using various techniques Who This Book Is For This book is for Python programmers who are;

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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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Applied Supervised Learning with Python

machine learning techniques in your data science projects using Python. You'll explore Jupyter Notebooks, the technology used commonly in academic;

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Machine Learning on Geographical Data Using Python

, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from;

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Machine Learning with Python

Machine Learning What are the Python Keywords? How to make predictions using;

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Training Systems Using Python Statistical Modeling

, build, and deploy enterprise-grade statistical models for machine learning using Python and its rich ecosystem of libraries for predictive;

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Artificial Vision and Language Processing for Robotics

and improve it using generative models Use deep learning to implement artificial intelligence(AI)and object recognition Develop a simple;

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Robotics, Vision and Control

-separately, and together as robotic vision. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple;

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Ultimate Step by Step Guide to Machine Learning Using Python

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Beginning Anomaly Detection Using Python-Based Deep Learning

Beg-Int user level;...

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