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Understanding the New SAT: Introduction Course

Understanding the New SAT: Introduction Course
Understanding the New SAT: Introduction Course
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 37M | Lec: 10 | 110 MB
Genre: eLearning | Language: English

Discover the New SAT video lessons to learn more about specific strategies and helpful study tips!
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Coursera - Introduction to Data Science in Python

Coursera - Introduction to Data Science in Python

Coursera - Introduction to Data Science in Python
Size: 394.67 MB | Duration: 4 hours | Video: AVC (.mp4) 960x540 29.97fps | Audio: AAC 44KHz 1ch
Genre: eLearning | Level: Intermediate | Language: English
This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions.
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Introduction to Autonomous Robots: Kinematics, Perception, Localization and Planning

Introduction to Autonomous Robots: Kinematics, Perception, Localization and Planning

Introduction to Autonomous Robots:
Kinematics, Perception, Localization and Planning

by Nikolaus Correll
English | 2016 | ISBN: 0692700870 | 227 Pages | PDF | 15 MB
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Light Cone Gauge Quantization of Strings Introduction to string theory


Light Cone Gauge Quantization of Strings Introduction to string theory
Light Cone Gauge Quantization of Strings: Introduction to string theory by Muhammad Ilyas
English | 2017 | ISBN: 3330319933 | 108 Pages | PDF | 6.0 MB

General relativity and quantum mechanics were the two major breakthroughs that revolutionized theoretical physics in the twentieth century.

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The Modern Scholar: Elemental Matters: An Introduction to Chemistry [Audiobook]

The Modern Scholar: Elemental Matters: An Introduction to Chemistry [Audiobook]

The Modern Scholar: Elemental Matters: An Introduction to Chemistry [Audiobook] by Professor Deborah G. Sauder
English | June 15th, 2012 | ASIN: B008BTNJDM | [email protected] kbps | 8 hrs 26 mins | 359.78 MB
Narrator: Professor Deborah G. Sauder
In "Elemental Matters", Professor Deborah Sauder leads a comprehensive overview of chemistry, a subject that influences every aspect of daily life. Kicking off the lecture series with a revealing look at one of the planet's most vital chemicals-water-Sauder then delves into the basics of molecular structure and chemical reactions. The course concludes with an eye-opening glimpse of 21st-century applications, such as nanotechnology and energy alternatives."
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TensorFlow 101 Introduction to Deep Learning

TensorFlow 101 Introduction to Deep Learning

TensorFlow 101: Introduction to Deep Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 18 | 537 MB
Genre: eLearning | Language: English
Ready to build the future with Deep Neural Networks? Stand on the shoulder of TensorFlow and Keras for Machine Learning.
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Introduction to Computer Music


Introduction to Computer Music

Introduction to Computer Music by Nick Collins
English | 2010 | ISBN: 0470714557 | 396 pages | scanned PDF | 62,7 MB

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Introduction to C++ in Unreal Engine

Introduction to C++ in Unreal Engine
Introduction to C++ in Unreal Engine
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 45M | 487 MB
Genre: eLearning | Language: English

This course will teach you the basics of developing in Unreal Engine using C++.

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Introduction to Azure Security Center

Introduction to Azure Security Center
Introduction to Azure Security Center
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 1.46 GB
Genre: eLearning | Language: English
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An Introduction to Machine Learning, Second Edition

An Introduction to Machine Learning, Second Edition

An Introduction to Machine Learning, Second Edition By Miroslav Kubat
English | EPUB | 2017 | 348 Pages | ISBN : 3319639129 | 3.13 MB
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines.
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