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InDesign CS5: Dynamic Publishing Workflows in XML
InDesign CS5: Dynamic Publishing Workflows in XML
MP4 | Video: 540p | Duration: 3:33:23 | English | Subtitles: VTT | 531.3 MB
Packt Publishing - Real-time Data Processing with Azure Stream Analytics

Packt Publishing - Real-time Data Processing with Azure Stream Analytics
English | Size: 830.42 MB
Category: Tutorial

WeiRuan-->WeiRuan Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering-Stream Analytics-allows you to process and acquire actionable insights from different kinds of data in real-time. This video is your guide to understanding the basics of how Azure Stream Analytics works, and then building your own analytics solution using its capabilities. You will start by learning what stream analytics is, and why it is a popular choice for acquiring real-time insights from data. Then you will be introduced to Azure Stream Analytics, and learn how you can use the tools and functions in Azure to develop your own Streaming Analytics. During the course of the video, you will build streaming solutions for the IoT, fraud detection, real-time event processing, and more. The video also shows you how you can manage, monitor, and scale your solution for optimal performance. By the end of this tutorial, you will have mastered using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data.
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.

In this course, you'll learn how to use the Spark MLlib. You'll find out about the supervised and unsupervised ML algorithms. You'll build classifications models, extracting proper futures from text using Word2Vect to achieve this. Next, we'll build a Logistic Regression Model with Spark. Then we'll find clusters and correlations in our data using K-Means clustering. We'll learn how to validate models using cross-validation and area under the ROC measurement.
Self Publishing School Pro with Chandler Bolt
Chandler Bolt - Self Publishing School Pro | 10.45 GB

Chandler Bolt - Self-Publishing School PRO (How to write, market, and publish your bestseller in 90 days)
Self-Publishing Formula - FB Ads for Authors
Self-Publishing Formula - FB Ads for Authors
WEBRip | English | MP4 | 960 x 540 | AVC ~290 kbps | 25 fps
AAC | 128 kbps | 44.1 KHz | 2 channels | 15:13:57 | 3.49 GB
Genre: eLearning Video / Business, Sales, Marketing

The most comprehensive instructional course on social media advertising specifically for authors. Mark Dawsons course was originally launched in June 2015 to much acclaim. Its currently closed for enrollment but will be available again in late 2016. Click the button below to find out more.
Packt Publishing - Kotlin Fundamentals

Packt Publishing - Kotlin Fundamentals
English | Size: 743.40 MB
Category: Tutorial
Packt Publishing - Making Predictions with Data and Python

Packt Publishing - Making Predictions with Data and Python
English | Size: 771.65 MB
Category: Tutorial

Python has become one of any data scientist's favorite tools for doing Predictive Analytics. In this hands-on course, you will learn how to build predictive models with Python.

During the course, we will talk about the most important theoretical concepts that are essential when building predictive models for real-world problems. The main tool used in this course is scikit -learn, which is recognized as a great tool: it has a great variety of models, many useful routines, and a consistent interface that makes it easy to use. All the topics are taught using practical examples and throughout the course, we build many models using real-world datasets.
Packt Publishing - Finding and Exploiting Hidden Vulnerabilities

Packt Publishing - Finding and Exploiting Hidden Vulnerabilities
English | Size: 764.89 MB
Category: Tutorial

When learning about penetration testing, vulnerability assessments play an important role, followed by exploiting the vulnerabilities identified. Finally, everything needs to be documented properly to present to the client. This course focuses on all these elements of the VAPT activity.

Courses focused on teaching Vulnerability Assessment and Penetration Testing sometimes miss out on essential elements such as documentation. Keeping this in mind, the course module has been developed to help you understand the process of VAPT step by step. So here you'll learn how to perform vulnerability assessments using well-known softwares such as Nessus and OpenVas.
Packt Publishing - Practical Python Data Science Techniques

Packt Publishing - Practical Python Data Science Techniques
English | Size: 489.80 MB
Category: Tutorial

Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise.

This course takes a practical approach to Data Science, presenting solutions for common and not-so-common problems in the form of recipes. This video will begin from exploring your data using the different methods like data acquisition, data cleaning, data mining, machine learning, and data visualization, applied to a variety of different data types like structured data or free-form text. It will show how to deal with text using different methods like text normalization and calculating word frequencies. The audience will learn how to deal with data with a time dimension and how to build a recommendation system as well as about supervised learning problems (regression and classification) and unsupervised learning problems (clustering). They will learn how to perform text preprocessing steps that are necessary for every text analysis applications. Specifically, the course will cover tokenization, stop-word removal, stemming and other preprocessing techniques.
Packt Publishing - Raspberry Pi - Make a Bench Automation Computer

Packt Publishing - Raspberry Pi - Make a Bench Automation Computer
English | Size: 6.89 GB
Category: Tutorial

This Raspberry Pi project course will show you how to integrate a variety of components into a gadget that you can use to automate your work bench.I call it "The Bench Computer".

With the Bench Computer, you will be able to control any device and appliance on your electronics work bench. Or, your kitchen, desk, entertainment system, and even your home! The Bench Computer provides a great framework on which you can build your own home automation projects Out of the box, you will be able to control anything with a simple on/off switch, like lights, fans, heaters etc.