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F# for Machine Learning

Get up and running with machine learning with F# in a fun and functional way About This Book * Design algorithms in F# to tackle;

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Mahout in Action

HIGHLIGHT The first and only book on Apache Mahout, an open source tool for leveraging machine learning techniques in large-scale;

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python machine learning

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Machine Learning Projects for .NET Developers

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple;

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Machine Learning for Time Series Forecasting with Python

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for;

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Semi-Supervised Learning

Semi-supervised learning is an important area of machine learning. It deals with problems that involve a lot of unlabeled data and very;

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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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Machine Learning for Oracle Database Professionals

mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much;

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Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;

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Practical Machine Learning in R

XGBoost Practical Machine Learning in R is a must-have guide for business analysts, data scientists, and other professionals interested;

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Machine Learning in Industry

learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different;

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Digital Signal Processing in Audio and Acoustical Engineering

-oriented perspective, modern concepts and methods of DSP including machine learning for audio acoustics and engineering. Content highlights include;

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Machine Learning Foundations

the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms;

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Beginning Machine Learning in iOS

. Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to;

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Mastering .NET Machine Learning

with introduction to F# and prepare yourselves for machine learning using .NET framework. You will be writing a simple linear regression model;

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Human-in-the-Loop Machine Learning

. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation;

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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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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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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning;

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Reinforcement and Systemic Machine Learning for Decision Making

Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the;

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision;

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Thinking Machines

computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning;

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MATLAB Machine Learning Recipes

pattern recognition, autonomous driving, expert systems, and much more. What you'll learn: How to write code for machine learning, adaptive;

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MATLAB Machine Learning Recipes

pattern recognition, autonomous driving, expert systems, and much more. What you'll learn:How to write code for machine learning, adaptive;

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Practical Machine Learning with Rust

heavy. What You Will Learn Write machine learning algorithms in Rust Use Rust libraries for different tasks;

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Python Machine Learning

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;

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Machine Learning Theoretical Foundations and Practical Applications

learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web;

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