Redux Recipes
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 656 MB
Genre: eLearning | Language: English

State management is absolutely critical in providing users with a well-crafted experience with minimal bugs. Redux provides a solid, stable, and mature solution to managing state in your React application.

In this course, you'll explore advanced state management techniques, router integration, and other common problems that you might encounter while developing your applications. The recipe-based approach allows you to quickly identify your problem and find a solution to it. This course also consists of various recipes that will help you to understand different test-case scenarios created in Redux.
Once you are well-acquainted with Redux, the course will explicitly show you how they work in developing a consistent application with React and Angular.
The code bundle for this video course is available at
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Rapid Gulp by Matthew Brandly
41 minutes | Thursday, March 5, 2015 | Video: AVC (.mp4) 1280x720 25fps | Audio: AAC 48KHz 2ch | 82 MB
Genre: eLearning | Language: English

Modern web development is filled with an abundance of tools and technologies, but it's difficult to know where to begin. You want both efficiency of your work and high performance of your site; Gulp brings that right to your doorstep.

With its rising popularity, you don't want to leave Gulp out of your toolbox.
This course will teach you to use the tools needed to create better websites through clear examples and step-by-step instructions.
You'll start with setting up Gulp and writing basic tasks, and move through common use cases to create a plugin from scratch. You will learn how to use Gulp through the many practical examples this course comes with, like optimizing our site's files and automating the process of testing our code, as well as tips on how to get the most out of Gulp. We'll gain a deeper understanding by looking at how streams work and how to define custom plugins.
By the end of this course, you'll know how to create your own apps, make them look good, test them and more: everything you need to know about building apps with Gulp!
Style and Approach
This video course is filled with code examples that will help you use and implement Gulp to create applications easily and quickly.
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Data Security
English | Size: 2.67 GB
Category: CBTs
What is Data Security?
Data Security is a process of protecting files, databases, and accounts on a network by adopting a set of controls, applications, and techniques that identify the relative importance of different datasets, their sensitivity, regulatory compliance requirements and then applying appropriate protections to secure those resources.

Similar to other approaches like perimeter security, file security or user behavioral security, data security is not the be all, end all for a security practice. It's one method of evaluating and reducing the risk that comes with storing any kind of data.

Why Data Security?
If the Data Security process is just one of many different ways to structure your organization's information security systems, what makes it better than competing methods?

Broadly speaking, most other security processes are "user-centric": they focus on questions like:

Is this user allowed to access this data?
Is this person authorized to be on this network?
Is this person abusing system resources?
Which is great and necessary but struggles with many real-world issues like large organizations having hundreds or thousands of servers with haphazardly applied permissions, antiquated user groups and gaps in knowing who is accessing what.

A data-centric security model is a practical way of approaching this from a different direction.

Data vs User Security Models
Imagine a scenario where a user on your customer service team places a spreadsheet containing customer Personally Identifiable Information like Social Security Numbers or other sensitive records onto a globally accessible shared folder.

User Centric Model: this isn't a problem, everyone has the proper rights to access that file.

Data Security Model: this is a huge problem as sensitive information is now available to every intern, contractor or "coasting through their two weeks notice until they take a new job at your biggest competitor" employee with network access.

This scenario makes plain the big dependency of a Data Security approach: data classification.
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AI for Finance
.MP4, AVC, 380 kbps, 1920x1080 | English, AAC, 144 kbps, 2 Ch | 2h 19m | 648 MB
Instructor: Jakub Konczyk

A lot of solutions to key problems in the financial world require predicting the future patterns in data from the past to make better financial decisions right now. The evolution of modern machine learning methods and tools in recent years in the field of computer vision bring promise of the same progress in other important fields such as financial forecasting.

In this course, you'll first learn how to quickly get started with ML in finances by predicting the future currency exchange rates using a simple modern machine learning method. In this example, you'll learn how to choose the basic data preparation method and model and then how to improve them. In the next module, you'll discover a variety of ways to prepare data and then see how they influence models training accuracy. In the last module, you'll learn how to find and test a few key modern machine learning models to pick up the best performing one.
After finishing this course, you'll have a solid introduction to apply ML methods to financial data forecasting.
What You Will Learn
Get hands-on financial forecasting experience using machine learning with Python, Keras, Scikit-Learn and pandas
Use a variety of data preparation methods with financial data
Predict future values based on single and multiple values
Apply key modern Machine Learning methods for forecasting
Understand the process behind choosing the best performing data preparation method and model
Grasp Machine Learning forecasting on a specific real-world financial data
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