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Python for Probability, Statistics, and Machine Learning

numerical examples. This book is suitable for anyone with undergraduate-level experience with probability, statistics, or machine learning and with;

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Python for Probability, Statistics, and Machine Learning

This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated;

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Python for Probability Statistics and Machine Learning

This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated;

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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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Deep Learning Techniques for IoT Security and Privacy

comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and;

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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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Linear Models with Python

Selection, Shrinkage, Experiments with Blocks and Missing Data. Includes an Appendix on Python for beginners.;

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Machine Learning for Finance

book is ideal for readers who understand math and Python, and want to adopt machine learning in financial applications. The book assumes;

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Mastering Machine Learning with Python in Six Steps

), and recommender systems Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine;

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Mastering Machine Learning with Python in Six Steps

Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine learning engineers looking to expand;

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Python

learning techniques on a map reduce framework in Hadoop and Spark in Python. This Learning Path will teach you Python machine learning for the real;

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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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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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Essential Statistics for Non-STEM Data Analysts

, regression, tree-based methods, and ensemble learning. By the end of this Essential Statistics for Non-STEM Data Analysts book, you'll have;

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Building Machine Learning Systems with Python

reinforcement learning Who this book is forBuilding Machine Learning Systems with Python is for data scientists, machine learning developers, and;

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Math For Deep Learning

Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus;

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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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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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A Tour of Data Science

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;

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A Tour of Data Science

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;

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Python Machine Learning -

practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use;

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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 Data Science Essentials

NumPy Comprehensive coverage of data science operations such as data cleaning and data manipulation Choose scalable learning algorithms for your;

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Machine Learning with Python

success. This guide is meant to help you with understanding the fundamentals of Machine Learning with Python, as well as making predictions and;

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

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python;

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

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python;

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