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HandsOn Unsupervised Learning Using Python

near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready;

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Hands-On Unsupervised Learning with Python

the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python;

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Applied Unsupervised Learning with Python

practices for using unsupervised learning techniques in tandem with Python libraries and extracting meaningful information from unstructured data;

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Machine Learning with scikit-learn Quick Start Guide

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;

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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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TensorFlow 2.0 Quick Start Guide

your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine learning and learn advanced;

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Python Machine Learning

decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous;

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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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Machine Learning Guide for Oil and Gas Using Python

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a;

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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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Machine Learning Fundamentals

With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the programming process and;

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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 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

machine learning models using the Python ecosystem. The book will help you take your knowledge of machine learning to the next level by grasping;

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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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Getting Started With Beautiful Soup

This book is a practical, handson guide that takes you through the techniques of web scraping using Beautiful Soup. Getting Started with;

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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 Tools for Visual Studio

This is a handson guide that provides exemplary coverage of all the features and concepts related to PTVS. The book is intended for;

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Data Science Solutions with Python

Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer;

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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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Dancing with Python

analysis, plotting data, machine learning techniques, and quantum circuits. Key Features Create quantum circuits and algorithms using Qiskit;

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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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Unsupervised Learning Algorithms

researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly;

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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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Supervised and Unsupervised Learning for Data Science

classification using semi-supervised and unsupervised learning; Address new challenges arising in feature extraction and selection using semi-supervised;

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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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