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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

Posted By: First1
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition by Aurélien Géron
English | November 22nd, 2019 (Revision 3) | ISBN: 1492032646 | 851 pages | EPUB | 46.81 MB

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

Biologically Inspired Techniques in Many-Criteria Decision Making

Posted By: AvaxGenius
Biologically Inspired Techniques in Many-Criteria Decision Making

Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) by Satchidananda Dehuri
English | PDF | 2020 | 268 Pages | ISBN : 3030390322 | 21.14 MB

This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming.

Interpreting Data with Advanced Statistical Models

Posted By: IrGens
Interpreting Data with Advanced Statistical Models

Interpreting Data with Advanced Statistical Models
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 10m | 453 MB
Instructor: Axel Sirota

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

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.

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.

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

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

Species Distribution Models with GIS and Machine Learning in R

Posted By: IrGens
Species Distribution Models with GIS and Machine Learning in R

Species Distribution Models with GIS and Machine Learning in R
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 34m | 556 MB
Instructor: Minerva Singh

Clustering and Classification with Machine Learning in Python

Posted By: IrGens
Clustering and Classification with Machine Learning in Python

Clustering and Classification with Machine Learning in Python
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 5h 50m | 965 MB
Instructor: Minerva Singh