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HandsOn Unsupervised Learning Using Python
artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised;
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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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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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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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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
machine learning problems Key Features Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python Master the;
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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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Python Machine Learning
Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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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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Applied Reinforcement Learning with Python
Beginning-Intermediate;...
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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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Python Machine Learning Cookbook
deep learning domain, then this book is what you need. Familiarity with Python programming and machine learning concepts will be useful.;
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Applied Reinforcement Learning with Python
Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them;
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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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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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Data Science Solutions with Python
learning engineers with basic knowledge and understanding of Python programming, probability theories, and predictive analytics;
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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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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 Cookbook
looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with;
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Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach
although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the;
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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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Machine Learning Applications Using Python
case studies with Python code and domain-specific innovative ideas for monetizing machine learning. What You Will Learn Discover applied;
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Applied Supervised Learning with Python
input data-has revolutionized the way we do business. Applied Supervised Learning with Python provides a rich understanding of how you can apply;
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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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