Pluralsight – Building Unsupervised Learning Models with TensorFlow

Pluralsight – Building Unsupervised Learning Models with TensorFlow
English | Size: 340.58 MB
Category: Tutorial;

Unsupervised learning techniques are powerful, but under utilized and often not well understood. In this course, Building Unsupervised Learning Models with TensorFlow, you’ll learn the various characteristics and features of clustering models such as K-means clustering and hierarchical clustering. First, you’ll dive into building a k-means clustering model in TensorFlow. Next, you’ll discover autoencoders in detail, which are a type of artificial neural network used for unsupervised learning. Finally, you’ll explore encodings or representation of data for dimensionality reduction of problems. By the end of this course, you’ll have a better understanding of how you can work with unlabeled data using unsupervised learning techniques. [Read more…]

Lynda Learning Kali Linux Jun

Lynda Learning Kali Linux Jun
English | Size: 476.86 MB
Category: Tutorial

Kali Linux is a flavor of Linux targeted at digital forensics experts and penetration (pen) testers. It includes over 400 pen-testing programs, and it is the primary tool used by ethical hackers. Using Kali Linux, certified ethical hackers can test networks on their organizations’ behalves, to see if they’re vulnerable to outside attacks.
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Learning Computer Forensics | Lynda.com

Learning Computer Forensics | Lynda.com
English | Size: 8.16 GB
Category: Computer forensics

Computer forensics is used to find legal evidence in computers or storage devices. Although this course won’t teach you how to become a digital forensics detective, it will cover the basics of this growing (and exciting) technical field. Author Jungwoo Ryoo reviews the basics: the goals of computer forensics, the types of investigations it’s used for, a forensic investigator’s typical toolset, and the legal implications of this type of work. Then he’ll show how to prepare for an investigation; acquire data "live" while the system is running, statically from a hard drive, or from a remote machine; make sure data is kept in its original state with software and hardware write blockers; analyze the data; and create a report of your findings. Jungwoo uses a combination of open-source and commercial software, so you’ll be able to uncover the information you need with the tools that are in your budget. [Read more…]

Packt Publishing – Step-by-Step Machine Learning with Python

Packt Publishing – Step-by-Step Machine Learning with Python
English | Size:
Category: CBTs

Put your Python skills to the test and enter the big world of data science to learn the most effective machine learning tools and techniques with this interesting guide.
This course is an enticing journey that starts from the very basics and gradually picks up pace as the story unfolds. Each concept is first succinctly defined in the larger context of things, followed by a detailed explanation of their application. Every concept is explained with the help of a project that solves a real-world problem and involves hands-on work, giving you a deep insight into the world of machine learning. With this simple yet rich language-Python-you will understand and be able to implement the examples with ease.
Data science and machine learning are some of the top buzzwords in the technical world today. The resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. [Read more…]

Packt Publishing – Machine Learning for Data Science

Packt Publishing – Machine Learning for Data Science
English | Size: 4.39 GB
Category: CBTs

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.

A 3 hour course that will help you to genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.

Unlock the secrets of understanding Machine Learning for Data Science! In this introductory course, the “Backyard Data Scientist” will guide you through wilderness of Machine Learning for Data Science. This introductory course not only explains Machine Learning, but where it fits in the “techno sphere around us”, why it’s important now, and how it will dramatically change our world today and for days to come. [Read more…]

Packt Publishing – Learning Metasploit

Packt Publishing – Learning Metasploit
English | Size: 453.63 MB
Category: Tutorial

An easy to digest practical guide to Metasploit covering all aspects of the framework from installation, configuration, and vulnerability hunting to advanced client-side attacks and anti-forensics

This tutorial is packed with step-by-step instructions that are useful for those getting started with Metasploit. This is an easy-to-read guide to learning Metasploit from scratch that explains simply and clearly all you need to know to use this essential IT power tool. [Read more…]

Coursera – Neural Networks and Deep Learning by Andrew Ng

Coursera – Neural Networks and Deep Learning by Andrew Ng
English | Size: 609.04 MB
Category: Tutorial

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren’t possible a few years ago.
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Packt Publishing – Spark for Machine Learning [Video]

Packt Publishing – Spark for Machine Learning [Video]
English | Size: 294.01 MB
Category: Tutorial

Spark lets you apply machine learning techniques to data in real time, giving users immediate machine-learning based insights based on what’s happening right now. Using Spark, we can create machine learning models and programs that are distributed and much faster compared to standard machine learning toolkits such as R or Python.
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O’Reilly – Clustering and Unsupervised Learning

O’Reilly – Clustering and Unsupervised Learning
English | Size: 163.25 MB
Category: Tutorioal

This course introduces clustering, a common technique used widely in unsupervised machine learning. The course begins by defining what clustering means through graphical explanations, and describes the common applications of clustering. Next, it explores k-means clustering in detail, including the concepts of distance functions and k-modes; illustrates hierarchical clustering through visual examples of dendrograms, and discusses different types of clustering algorithms. The course ends with a comparison of the performance of different algorithms. An understanding of basic algebra is required and some knowledge of linear algebra will be helpful. [Read more…]

Lynda – Learning SVG

Lynda – Learning SVG
English | Size: 333.6MB
Category: Tutorial

The Scalable Vector Graphics (SVG) format is spreading rapidly across the web. Naturally responsive, SVG can scale from very big to very small, and graphics can be manipulated with code after they’ve been downloaded to a browser. Join LinkedIn staff instructor Morten Rand-Hendriksen as he covers the basics of learning SVG. He covers the anatomy of SVG, including the internal structure that makes your SVG easy to ship over the web while maintaining maximum flexibility. He shows how to draw and manipulate SVG shapes, work with lines and text, and use strokes, fills, and patterns to make your SVGs look just right. Plus, find out how to convert an existing graphic design into SVG-maximizing accessibility while optimizing it for the web.
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