Learn IT - Books tags clustering

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

Packt Publishing, 2018

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

Explore statistics and complex mathematics for data-intensive applications

Discover new developments in EM algorithm, PCA, and bayesian...

Microservices Deployment Cookbook

Packt Publishing, 2017

Key Features

Adopt microservices-based architecture and deploy it at scale

Build your complete microservice architecture using different recipes for different solutions

Identify specific tools for specific scenarios and deliver immediate business results, correlate use cases, and adopt them...

Predictive Analytics For Dummies

For Dummies, 2014

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Packt Publishing, 2018

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

Discover high-performing machine learning algorithms and understand how they work in depth

One-stop solution to mastering supervised, unsupervised, and...

Wireless Internet Handbook: Technologies, Standards, and Applications

Auerbach Publications, 2003

Wireless applications are definitely the next big thing in communications. Millions of people around the world use the Internet every day—to stay in touch with remote locations, follow the stock market, keep up with the news, check the weather, make travel plans, conduct business, shop, entertain themselves, and learn. The logical next...

Implementing Splunk - Second Edition

Packt Publishing, 2015

A comprehensive guide to help you transform Big Data into valuable business insights with Splunk 6.2

About This Book

Learn to search, configure, and deploy Splunk on one or more machines

Start working with Splunk fast, with a tested set of practical examples and useful advice

OpenCL Programming by Example

Packt Publishing, 2013

For a comprehensive, easy-to-swallow guide to OpenCL Programming, this book is out on its own. That's because it teaches through examples and covers everything from parallel sorting to optimization in simple stages.

Overview

Learn about all of the OpenCL Architecture and major APIs.

TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Packt Publishing, 2019

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

Train your own models for effective prediction, using high-level Keras API

Perform supervised and unsupervised machine learning and learn...

Optimizing Hadoop for MapReduce

Packt Publishing, 2014

This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it's an example-driven tutorial for the real world.

Overview

Optimize your MapReduce job performance

Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications

Packt Publishing, 2018

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda

Key Features

Use Anaconda to find solutions for clustering, classification, and linear regression

Analyze your data efficiently with the most powerful data...

Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)

Morgan and Claypool Publishers, 2000

We are deluged by data—scientific data, medical data, demographic data, financial data, and marketing data. People have no time to look at this data. Human attention has become a precious resource. So, we must find ways to automatically analyze the data, to automatically classify it, to automatically summarize it, to...

Challenges in Social Network Research: Methods and Applications (Lecture Notes in Social Networks)

Springer, 2019

The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen...

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