Subcategories

Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity (Repost)

Posted By: AvaxGenius
Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity (Repost)

Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity by James Hendler
English | PDF | 2016 | 182 Pages | ISBN : 148421157X | 10.24 MB

Will your next doctor be a human being—or a machine? Will you have a choice? If you do, what should you know before making it?This book introduces the reader to the pitfalls and promises of artificial intelligence (AI) in its modern incarnation and the growing trend of systems to "reach off the Web" into the real world. The convergence of AI, social networking, and modern computing is creating an historic inflection point in the partnership between human beings and machines with potentially profound impacts on the future not only of computing but of our world and species.

Hands-On Machine Learning for Algorithmic Trading

Posted By: First1
Hands-On Machine Learning for Algorithmic Trading

Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen
English | December 31st, 2018 | ISBN: 178934641X | 684 pages | EPUB (True/Retail Copy) | 27.89 MB

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Modeling of Metal Forming and Machining Processes: by Finite Element and Soft Computing Methods

Posted By: AvaxGenius
Modeling of Metal Forming and Machining Processes: by Finite Element and Soft Computing Methods

Modeling of Metal Forming and Machining Processes: by Finite Element and Soft Computing Methods by Prakash M. Dixit
English | PDF | 2008 | 599 Pages | ISBN : 1848001886 | 8.87 MB

The physics of metal forming and metal removing is normally expressed using non-linear partial differential equations which can be solved using the finite element method (FEM). However, when the process parameters are uncertain and/or the physics of the process is not well understood, soft computing techniques can be used with FEM or alone to model the process.

Neural Networks in Atmospheric Remote Sensing

Posted By: tanas.olesya
Neural Networks in Atmospheric Remote Sensing

Neural Networks in Atmospheric Remote Sensing by William J. Blackwell
English | April 30, 2009 | ISBN: 1596933720 | 234 pages | PDF | 15 Mb

Building Convolutional Neural Networks on Google Cloud

Posted By: IrGens
Building Convolutional Neural Networks on Google Cloud

Building Convolutional Neural Networks on Google Cloud
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 38m | 675 MB
Instructor: Guy Hummel

Applied Deep Learning with Keras: Solve complex real-life problems with the simplicity of Keras

Posted By: IrGens
Applied Deep Learning with Keras: Solve complex real-life problems with the simplicity of Keras

Applied Deep Learning with Keras: Solve complex real-life problems with the simplicity of Keras by Ritesh Bhagwat, Mahla Abdolahnejad, Matthew Moocarme
English | April 24, 2019 | ISBN: 1838555072 | PDF | 412 pages | 24.2 MB

In Vitro Neuronal Networks: From Culturing Methods to Neuro-Technological Applications (Repost)

Posted By: AvaxGenius
In Vitro Neuronal Networks: From Culturing Methods to Neuro-Technological Applications (Repost)

In Vitro Neuronal Networks: From Culturing Methods to Neuro-Technological Applications by Michela Chiappalone
English | PDF,EPUB | 2019 | 387 Pages | ISBN : 3030111342 | 66.8 MB

This book provides a comprehensive overview of the incredible advances achieved in the study of in vitro neuronal networks for use in basic and applied research. These cultures of dissociated neurons offer a perfect trade-off between complex experimental models and theoretical modeling approaches giving new opportunities for experimental design but also providing new challenges in data management and interpretation. Topics include culturing methodologies, neuroengineering techniques, stem cell derived neuronal networks, techniques for measuring network activity, and recent improvements in large-scale data analysis. The book ends with a series of case studies examining potential applications of these technologies.

Automated Software Engineering: A Deep Learning-Based Approach

Posted By: AvaxGenius
Automated Software Engineering: A Deep Learning-Based Approach

Automated Software Engineering: A Deep Learning-Based Approach by Suresh Chandra Satapathy
English | PDF,EPUB | 2020 | 125 Pages | ISBN : 303038005X | 12.25 MB

This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development.

Domain Adaptation for Visual Understanding

Posted By: AvaxGenius
Domain Adaptation for Visual Understanding

Domain Adaptation for Visual Understanding by Richa Singh
English | PDF,EPUB | 2020 | 148 Pages | ISBN : 3030306704 | 47 MB

This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition, face recognition, and action and event recognition.

Compact and Fast Machine Learning Accelerator for IoT Devices

Posted By: ksveta6
Compact and Fast Machine Learning Accelerator for IoT Devices

Compact and Fast Machine Learning Accelerator for IoT Devices (Computer Architecture and Design Methodologies) by Hantao Huang, Hao Yu
2019 | ISBN: 981133322X | English | 149 pages | PDF | 9 MB

Network Design, Modelling and Performance Evaluation

Posted By: AvaxGenius
Network Design, Modelling and Performance Evaluation

Network Design, Modelling and Performance Evaluation by Quoc-Tuan Vien
English | PDF | 2018 | 354 Pages | ISBN : 1785613367 | 23.10 MB

Designed for ICT professionals involved in the planning, design, development, testing and operation of network services, this book is ideal for self-teaching. It will help readers evaluate a network situation and identify the most important aspects to be monitored and analysed.

Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25–27 (repost)

Posted By: hill0
Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25–27 (repost)

Antonio Canale, "Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25–27 "
2018 | English | ISBN: 3030000389 | 156 pages | PDF | 10 MB

A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras

Posted By: IrGens
A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras

A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 7h 46m | 4.16 GB
Instructor: Vadim Karpusenko

Proceeding of International Conference on Computational Science and Applications: ICCSA 2019

Posted By: AvaxGenius
Proceeding of International Conference on Computational Science and Applications: ICCSA 2019

Proceeding of International Conference on Computational Science and Applications: ICCSA 2019 by Subhash Bhalla
English | PDF,EPUB | 2020 | 447 Pages | ISBN : 9811507899 | 84.5 MB

The book consists of high-quality papers presented at the International Conference on Computational Science and Applications (ICCSA 2019), held at Maharashtra Institute of Technology World Peace University, Pune, India, from 7 to 9 August 2019. It covers the latest innovations and developments in information and communication technology, discussing topics such as soft computing and intelligent systems, web of sensor networks, drone operating systems, web of sensor networks, wearable smart sensors, automated guided vehicles and many more.

Regression Modeling with Statistics and Machine Learning in Python

Posted By: IrGens
Regression Modeling with Statistics and Machine Learning in Python

Regression Modeling with Statistics and Machine Learning in Python
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 6h 8m | 804 MB
Instructor: Minerva Singh