Subcategories

Cluster Analysis and Unsupervised Machine Learning in Python

Posted By: IrGens
Cluster Analysis and Unsupervised Machine Learning in Python

Cluster Analysis and Unsupervised Machine Learning in Python
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 58m | 863 MB
Created byLazy Programmer Inc.

An Introduction to Machine Learning for Data Engineers

Posted By: Sigha
An Introduction to Machine Learning for Data Engineers

An Introduction to Machine Learning for Data Engineers
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 105 MB
Genre: eLearning Video | Duration: 46 lectures (1 hours, 10 mins) | Language: English

A Prerequisite for Tensorflow on Google's Cloud Platform for Data Engineers

Machine Learning in Medicine - Cookbook Two

Posted By: AvaxGenius
Machine Learning in Medicine - Cookbook Two

Machine Learning in Medicine - Cookbook Two by Ton J. Cleophas
English | EPUB | 2014 | 137 Pages | ISBN : 3319074121 | 2.72 MB

The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires, currently common methods of data collection, are, essentially, missing.

Machine Learning for Evolution Strategies

Posted By: AvaxGenius
Machine Learning for Evolution Strategies

Machine Learning for Evolution Strategies by Oliver Kramer
English | EPUB | 2016 | 120 Pages | ISBN : 331933381X | 1.86 MB

This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search and visualization of high-dimensional optimization processes, and clustering-based niching. After giving an introduction to evolution strategies and machine learning, the book builds the bridge between both worlds with an algorithmic and experimental perspective.

Data Analysis, Machine Learning and Knowledge Discovery (Repost)

Posted By: AvaxGenius
Data Analysis, Machine Learning and Knowledge Discovery (Repost)

Data Analysis, Machine Learning and Knowledge Discovery by Myra Spiliopoulou
English | EPUB | 2014 | 461 Pages | ISBN : 331901594X | 4.38 MB

Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence.

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Repost)

Posted By: AvaxGenius
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Repost)

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition by Serkan Kiranyaz
English | PDF | 2014 | 343 Pages | ISBN : 3642378455 | 18.48 MB

For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach.

AWS Machine Learning in Motion

Posted By: Sigha
AWS Machine Learning in Motion

AWS Machine Learning in Motion
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 1.5 GB
Genre: eLearning Video | Duration: 37 lectures (3 hours, 42 mins) | Language: English

You can use machine learning for data analysis without mastering a lot of complex math, frameworks, and coding techniques. Machine learning services hosted on the Amazon Web Services cloud platform are a perfect way to get started even if you've never built a machine learning model before. This interactive liveVideo course gives you a crash course in using AWS for machine learning, teaching you how to build a fully-working predictive algorithm.

Machine Learning for Mere Mortals

Posted By: Sigha
Machine Learning for Mere Mortals

Machine Learning for Mere Mortals
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.68 GB
Genre: eLearning Video | Duration: 66 lectures (3 hours, 34 mins) | Language: English

Machine Learning Projects for .NET Developers (Repost)

Posted By: AvaxGenius
Machine Learning Projects for .NET Developers (Repost)

Machine Learning Projects for .NET Developers by Mathias Brandewinder
English | PDF | 2015 | 290 Pages | ISBN : 1430267674 | 6.91 MB

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET.

Reverse Hypothesis Machine Learning: A Practitioner's Perspective

Posted By: AvaxGenius
Reverse Hypothesis Machine Learning: A Practitioner's Perspective

Reverse Hypothesis Machine Learning: A Practitioner's Perspective by Parag Kulkarni
English | EPUB | 2017 | 150 Pages | ISBN : 3319553119 | 1.61 MB

This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innovation based learning is the need of time.

Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization (Repost)

Posted By: AvaxGenius
Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization (Repost)

Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization by Dionisios N. Sotiropoulos
English | EPUB | 2017 | 344 Pages | ISBN : 3319471929 | 4.03 MB

The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm.

Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Posted By: IrGens
Complete Tensorflow 2 and Keras Deep Learning Bootcamp

Complete Tensorflow 2 and Keras Deep Learning Bootcamp
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 19h 10m | 6.74 GB
Instructor: Jose Portilla

Machine Learning for Absolute Beginners - Level 1

Posted By: Sigha
Machine Learning for Absolute Beginners - Level 1

Machine Learning for Absolute Beginners - Level 1
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 677 MB
Genre: eLearning Video | Duration: 24 lectures (2 hours, 11 mins) | Language: English

Learn the Fundamental Concepts of Artificial Intelligence and Machine Learning as the Next Game-Changing Technology.

Digital Mapping of Soil Landscape Parameters: Geospatial Analyses using Machine Learning and Geomatics

Posted By: AvaxGenius
Digital Mapping of Soil Landscape Parameters: Geospatial Analyses using Machine Learning and Geomatics

Digital Mapping of Soil Landscape Parameters: Geospatial Analyses using Machine Learning and Geomatics by Pradeep Kumar Garg
English | PDF,EPUB | 2020 | 159 Pages | ISBN : 9811532370 | 29 MB

This book addresses the mapping of soil-landscape parameters in the geospatial domain. It begins by discussing the fundamental concepts, and then explains how machine learning and geomatics can be applied for more efficient mapping and to improve our understanding and management of ‘soil’. The judicious utilization of a piece of land is one of the biggest and most important current challenges, especially in light of the rapid global urbanization, which requires continuous monitoring of resource consumption.

Introduction to Machine Learning in R

Posted By: Sigha
Introduction to Machine Learning in R

Introduction to Machine Learning in R
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.11 GB
Genre: eLearning Video | Duration: 98 lectures (8 hours, 32 mins) | Language: English

Machine learning, neural networks, regression, SVM, naive bayes classifier, bagging, boosting, random forest classifier.