Posted by **Jeembo** at Dec. 11, 2017

English | 2015 | ISBN: 0975841211 | 200 Pages | PDF | 191.5 MB

How can we create learning environments that cultivate curiosity and grow young people as confident, capable and creative inquirers?

Posted by **AlenMiler** at Dec. 10, 2017

English | 1 Dec. 2017 | ISBN: 1973443503 | ASIN: B077WFS87Z | 246 Pages | AZW3 | 2.24 MB

Posted by **AvaxGenius** at Dec. 9, 2017

English | PDF,EPUB | 2017 (2018 Edition) | 174 Pages | ISBN : 1484232844 | 16.61 MB

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process.

Posted by **naag** at Dec. 8, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 407 MB

Posted by **AvaxGenius** at Dec. 7, 2017

English | PDF,EPUB | 2017 | 412 Pages | ISBN : 1484230957 | 22.77 MB

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.

Posted by **AvaxGenius** at Nov. 25, 2017

English | PDF,EPUB | 2017 | 224 Pages | ISBN : 9811068070 | 7.02 MB

This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it’s applications to machine learning. It also includes a detailed introduction to the concepts and constraints of machine learning and what is involved in designing a learning algorithm. This part helps readers understand the mathematical and statistical aspects of machine learning.

Posted by **naag** at Nov. 7, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 15M | 575 MB

In this course, we will examine in detail the R software, which is the most popular statistical programming language of recent years.

Posted by **First1** at Nov. 5, 2017

English | April 26th, 2017 | ASIN: B06Y2YMRDW, ISBN: 1787128423 | 332 Pages | EPUB | 38.85 MB

This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations.

Posted by **First1** at Nov. 5, 2017

English | April 24th, 2017 | ASIN: B01N2BAK7T, ISBN: 1786469782 | 370 Pages | EPUB | 6.20 MB

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide

Posted by **naag** at Nov. 1, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 23 | 437 MB

Designing of Simple Attendance Register Using MS-Excel VBA