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Hands-On Unsupervised Learning with Python

Discover the skill-sets required to implement various approaches to Machine Learning with Python Key Features Explore unsupervised learning;

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Hands-on Machine Learning with Python

learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;

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HandsOn Unsupervised Learning Using Python

Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find;

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Hands-on Machine Learning with Python

learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

provide hands-on machine learning solutions with scikit-learn and Python toolkits. The book begins with an explanation of machine learning;

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Applied Unsupervised Learning with Python

useful and practical solution in situations where labeled data is not available. Applied Unsupervised Learning with Python guides you on the best;

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Hands-On Data Science and Python Machine Learning

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;

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Python Machine Learning

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;

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Beginning Anomaly Detection Using Python-Based Deep Learning

and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly;

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Machine Learning with scikit-learn Quick Start Guide

DescriptionScikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning;

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Python for Programmers

programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today's most compelling;

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TensorFlow 2.0 Quick Start Guide

is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest;

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Hands-On Machine Learning with IBM Watson

is a complete guide to help you become well versed with machine learning on the IBM Cloud using Python. Hands-On Machine Learning with IBM;

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Advanced Data Analytics Using Python

models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network;

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Advanced Data Analytics Using Python

learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network;

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Hands-on Scikit-Learn for Machine Learning Applications

book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised;

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Python Machine Learning Cookbook

machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT;

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Hands-On Image Processing with Python

extract features from images and match images Write Python code to implement supervised / unsupervised machine learning algorithms for image;

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Genetic Algorithms with Python

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello;

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The Unsupervised Learning Workshop

Learning how to apply unsupervised algorithms on unlabeled datasets from scratch can be easier than you thought with this beginner's;

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Python Machine Learning Case Studies

will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Studies takes you;

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Learning Robotics Using Python

Get a grip on the hands-on guide to robotics for learning various robotics concepts and build an advanced robot from scratch Who This Book;

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Foundational Python for Data Science

through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data;

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Supervised Machine Learning with Python

a deep understanding along the way. You'll embark on this journey with a quick overview and see how supervised machine learning differs from;

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Practical Deep Learning

Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental;

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