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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

Posted By: AvaxGenius
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part IV by Yuxiao Dong
English | PDF | 2021 | 612 Pages | ISBN : 3030676668 | 55.8 MB

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.

Machine Learning and Knowledge Discovery in Databases

Posted By: AvaxGenius
Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III by Frank Hutter
English | PDF | 2021 | 783 Pages | ISBN : 3030676633 | 50 MB

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.

Machine Learning and Knowledge Discovery in Databases

Posted By: AvaxGenius
Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part II by Frank Hutter
English | PDF | 2021 | 770 Pages | ISBN : 3030676609 | 79.4 MB

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.

Machine Learning and Knowledge Discovery in Databases

Posted By: AvaxGenius
Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part I by Frank Hutter
English | PDF | 2021 | 797 Pages | ISBN : 3030676579 | 54.8 MB

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.

Artificial Intelligence – Applications, Problem – Solving, Machine Learning, Knowledge Representation and Reasoning

Posted By: Free butterfly
Artificial Intelligence – Applications, Problem – Solving, Machine Learning, Knowledge Representation and Reasoning

Artificial Intelligence – Applications, Problem – Solving, Machine Learning, Knowledge Representation and Reasoning by Ms. Nayna Maheshwari
English | December 9, 2020 | ISBN: N/A | ASIN: B08Q6Y94V8 | 70 pages | Rar (PDF, AZW3) | 0.38 Mb

Generative Adversarial Networks for Image Generation

Posted By: AvaxGenius
Generative Adversarial Networks for Image Generation

Generative Adversarial Networks for Image Generation by Xudong Mao
English | PDF,EPUB | 2021 | 86 Pages | ISBN : 981336047X | 48 MB

Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook’s AI research director) as “the most interesting idea in the last 10 years in ML.” GANs’ potential is huge, because they can learn to mimic any distribution of data, which means they can be taught to create worlds similar to our own in any domain: images, music, speech, prose.

Deep Learning for Human Activity Recognition

Posted By: AvaxGenius
Deep Learning for Human Activity Recognition

Deep Learning for Human Activity Recognition: Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings by Xiaoli Li
English | PDF | 2021 | 150 Pages | ISBN : 9811605742 | 22.1 MB

This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format.

Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning

Posted By: ksveta6
Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning

Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning by James V Stone
2019 | ISBN: 0956372813, 0956372821 | English | 216 pages | True PDF | 5 MB

Believable Bots: Can Computers Play Like People?

Posted By: AvaxGenius
Believable Bots: Can Computers Play Like People?

Believable Bots: Can Computers Play Like People? by Philip Hingston
English | PDF(True) | 2012 | 324 Pages | ISBN : 3642323227 | 8.76 MB

We share our modern world with bots – chatbots to converse with, roombots to clean our houses, spambots to fill our e-mail inboxes, and medibots to assist our surgeons. This book is about computer game bots, virtual companions who accompany us in virtual worlds or sharpen our fighting skills. These bots must be believable, that is human players should believe they are interacting with entities operating at a human level – bots are more fun if they behave like we do. This book shows how to create believable bots that play computer games, and it discusses the implications of making them appear human.

THE EASY TENSORFLOW MACHINE LEARNING MANUAL

Posted By: Free butterfly
THE EASY TENSORFLOW MACHINE LEARNING MANUAL

THE EASY TENSORFLOW MACHINE LEARNING MANUAL: Step By Step Guide to Learn Machine Learning With Scikit-Learn, Keras and TensorFlow by DR. PATRICK JEFF
English | January 21, 2021 | ISBN: N/A | ASIN: B08TQ5JHWK | 73 pages | Rar (PDF, AZW3) | 0.48 Mb

DEEP INTRODUCTION TO MACHINE LEARNING

Posted By: Free butterfly
DEEP INTRODUCTION TO MACHINE LEARNING

DEEP INTRODUCTION TO MACHINE LEARNING: BEGINNERS AND DUMMIES GUIDE FOR PROGRAMMERS TO MASTER ARTIFICIAL INTELLIGENCE, DATA SCIENCE WITH PYTHON, NEURAL NETWORKS. by AARON NELSON PH.D
English | January 5, 2021 | ISBN: N/A | ASIN: B08S2S3N33 | 71 pages | MOBI | 0.20 Mb

Machine Intelligence and Soft Computing: Proceedings of ICMISC 2020 (Repost)

Posted By: AvaxGenius
Machine Intelligence and Soft Computing: Proceedings of ICMISC 2020 (Repost)

Machine Intelligence and Soft Computing: Proceedings of ICMISC 2020 by Debnath Bhattacharyya
English | PDF | 2021 | 504 Pages | ISBN : 9811595151 | 23.7 MB

This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020.

The Twenty-First Century Mechanistic Theory of Human Cognition: A Critical Analysis (Repost)

Posted By: AvaxGenius
The Twenty-First Century Mechanistic Theory of Human Cognition: A Critical Analysis (Repost)

The Twenty-First Century Mechanistic Theory of Human Cognition: A Critical Analysis by Diego Azevedo Leite
English | EPUB | 2021 | 198 Pages | ISBN : 3030636798 | 0.7 MB

This book presents a theoretical critical appraisal of the Mechanistic Theory of Human Cognition (MTHC), which is one of the most popular major theories in the contemporary field of cognitive science.

Advances in Metaheuristic Algorithms for Optimal Design of Structures

Posted By: AvaxGenius
Advances in Metaheuristic Algorithms for Optimal Design of Structures

Advances in Metaheuristic Algorithms for Optimal Design of Structures by Ali Kaveh
English | PDF(Repost),EPUB | 2021 | 890 Pages | ISBN : 3030593916 | 206 MB

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Democratic Particle Swarm Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization.

Machine Learning kompakt: Ein Einstieg für Studierende der Naturwissenschaften (Repost)

Posted By: AvaxGenius
Machine Learning kompakt: Ein Einstieg für Studierende der Naturwissenschaften (Repost)

Machine Learning kompakt: Ein Einstieg für Studierende der Naturwissenschaften by Kenny Choo
Deutsch | PDF,EPUB | 2021 | 76 Pages | ISBN : 3658322675 | 8.3 MB

Dieses essential befasst sich mit Anwendungen des maschinellen Lernens in verschiedenen Bereichen der Naturwissenschaften. Es behandelt geläufige Strukturen und Algorithmen, um Daten mit den Techniken des maschinellen Lernens zu analysieren. Zunächst werden Methoden eingeführt, die an klassischen statistischen Analysen andocken und auf soliderem mathematischem Fundament stehen. Die Autoren machen mit den verschiedenen Strukturen für künstliche neuronale Netzwerke vertraut und zeigen die jeweiligen Anwendungsgebiete.