Subcategories

Learning with Partially Labeled and Interdependent Data

Posted By: DZ123
Learning with Partially Labeled and Interdependent Data

Massih-Reza Amini, Nicolas Usunier, "Learning with Partially Labeled and Interdependent Data"
English | 2015 | ISBN: 3319157256 | PDF | pages: 113 | 1.8 mb

Statistical Reinforcement Learning: Modern Machine Learning Approaches (Repost)

Posted By: step778
Statistical Reinforcement Learning: Modern Machine Learning Approaches (Repost)

Masashi Sugiyama, "Statistical Reinforcement Learning: Modern Machine Learning Approaches"
English | 2015 | pages: 573 | ISBN: 1439856893 | PDF | 11,5 mb

Neural Networks for Natural Language Processing

Posted By: hill0
Neural Networks for Natural Language Processing

Neural Networks for Natural Language Processing
by Sumathi S

English | 2020 | ISBN: 179981159X | 256 Pages | EPUB | 23 MB

Wireless Sensor Networks: Principles and Practice (Instructor Resources)

Posted By: AvaxKevin
Wireless Sensor Networks: Principles and Practice (Instructor Resources)


Wireless Sensor Networks: Principles and Practice (Instructor Resources) by Fei Hu
English | 2010 | ISBN-13: 978-1420092158 | Instructor Resources | PDF | 26.3 MB

Geometric and Numerical Foundations of Movements

Posted By: AvaxGenius
Geometric and Numerical Foundations of Movements

Geometric and Numerical Foundations of Movements by Jean-Paul Laumond
English | EPUB | 2017 | 417 Pages | ISBN : 3319515462 | 6.69 MB

This book aims at gathering roboticists, control theorists, neuroscientists, and mathematicians, in order to promote a multidisciplinary research on movement analysis. It follows the workshop “ Geometric and Numerical Foundations of Movements ” held at LAAS-CNRS in Toulouse in November 2015[1]. Its objective is to lay the foundations for a mutual understanding that is essential for synergetic development in motion research. In particular, the book promotes applications to robotics –and control in general– of new optimization techniques based on recent results from real algebraic geometry.

Get SH*T Done with PyTorch: Solve Real-World Machine Learning Problems

Posted By: AvaxGenius
Get SH*T Done with PyTorch: Solve Real-World Machine Learning Problems

Get SH*T Done with PyTorch: Solve Real-World Machine Learning Problems by Venelin Valkov
English | PDF | 2020 | 179 Pages | ASIN : B0895YQYFC | 12.68 MB

PyTorch is the best Deep Learning library there (currently) is, period! Doing ML with PyTorch feels like a superpower (of course, there are bad parts, too). Trust me, I have a book on TensorFlow and Keras! This opinion comes from my real-world experience, as a Machine Learning Engineer, and writer of numerous Machine Learning and Deep Learning tutorials.

Intelligent Systems II: Complete Approximation by Neural Network Operators (Repost)

Posted By: DZ123
Intelligent Systems II: Complete Approximation by Neural Network Operators (Repost)

George A. Anastassiou, "Intelligent Systems II: Complete Approximation by Neural Network Operators"
English | 2015 | ISBN: 3319205048 | PDF | pages: 712 | 6.5 mb

Fundamentals of Optical Networks and Components

Posted By: hill0
Fundamentals of Optical Networks and Components

Fundamentals of Optical Networks and Components
by Partha Pratim Sahu

English | 2021 | ISBN: 0367265451 | 389 Pages | PDF | 8 MB

Engineering Applications of Neural Networks (Repost)

Posted By: step778
Engineering Applications of Neural Networks (Repost)

Lazaros Iliadis, Chrisina Jayne, "Engineering Applications of Neural Networks"
English | 2015 | pages: 409 | ISBN: 3319239813 | PDF | 21,1 mb

Guide to Networking Essentials, 8th Edition

Posted By: hill0
Guide to Networking Essentials, 8th Edition

Guide to Networking Essentials 8th Edition
by Greg Tomsho

English | 2020 | ISBN: 0357118286 | 850 Pages | PDF | 960 MB

Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields (Repost)

Posted By: step778
Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields (Repost)

Robert Kozma, Walter J. Freeman, "Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields"
English | 2015 | pages: 267 | ISBN: 3319244043 | PDF | 8,3 mb

Building Computer Vision Applications Using Artificial Neural Networks

Posted By: AvaxGenius
Building Computer Vision Applications Using Artificial Neural Networks

Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python by Shamshad Ansari
English | PDF,EPUB | 2020 | 467 Pages | ISBN : 148425886X | 38 MB

Apply computer vision and machine learning concepts in developing business and industrial applications ​using a practical, step-by-step approach.

Advanced Memristor Modeling: Memristor Circuits and Networks

Posted By: AvaxGenius
Advanced Memristor Modeling: Memristor Circuits and Networks

Advanced Memristor Modeling: Memristor Circuits and Networks by Valeri Mladenov
English | PDF | 2019 | 186 Pages | ISBN : 3038971049 | 64.97 MB

The investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generation's electronic circuits and for their widespread application in all the areas of industry.

Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn

Posted By: IrGens
Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn

Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 10h 28m | 2.33 GB
Instructor: Samuel Holt

A First Course in Network Science

Posted By: hill0
A First Course in Network Science

A First Course in Network Science
by Filippo Menczer

English | 2020 | ISBN: 1108471137 | 276 Pages | PDF | 66 MB