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Machine Learning Theoretical Foundations and Practical Applications

in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network;

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Machine Learning Foundations

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning;

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Machine Learning and Big Data

learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent;

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Modeling Machine Learning and Astronomy

This book constitutes the proceedings of the First International Conference on Modeling, Machine Learning and Astronomy, MMLA 2019, held;

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Introducing Machine Learning

Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and;

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Quantum Machine Learning with Python

Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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Quantum Machine Learning with Python

Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use;

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Foundations of Data Science

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high;

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Foundations Of Machine Learning

Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms;

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Foundations of Machine Learning

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general;

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Machine Learning and its Applications

In recent years, machine learning has gained a lot of interest. Due to the advances in processor technology and the availability of large;

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Machine Learning and its Applications

In recent years, machine learning has gained a lot of interest. Due to the advances in processor technology and the availability of large;

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Data Mining and Machine Learning

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze;

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Conformal Prediction for Reliable Machine Learning

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a;

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TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;

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Foundations of Intelligent Systems

language processing; deep learning and embeddings; digital signal processing; modelling and reasoning; and machine learning applications.;

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Pattern Recognition and Machine Intelligence

selected from 90 submissions. They were organized in topical sections named: foundations of machine learning; image processing; image retrieval;

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Fundamentals Of Deep Learning

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving;

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Foundations and Practice of Security

from 50 submissions. They cover a range of topics such as machine learning approaches; attack prevention and trustworthiness; and access;

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The Mathematics of Data

science, as well as many other areas. This book gives an introduction to the mathematical methods that form the foundations of machine learning;

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Hands-On Machine Learning for Cybersecurity

Get into the world of smart data security using machine learning algorithms and Python libraries Key Features Learn machine learning;

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Big Data Analytics for Cyber-Physical Systems

Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways;

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Foundational Python for Data Science

Data science and machine learning-two of the world's hottest fields-are attracting talent from a wide variety of technical, business, and;

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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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Universal Time-Series Forecasting with Mixture Predictors

applied areas as machine learning, information theory and data compression.;

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Machine Learning Applications Using Python

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;

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