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Create Apps in MATLAB with App Designer (Codes Included)

2018/02/23December 15, 2017

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Become a pro to develop apps in MATLAB app designing tool called App Designer About This Video Create apps with MATLAB graphical user interfaces using utility called App Designer. In Detail This is a basic course on creating apps in MATLAB using its graphical user interface utility called App Designer. The App Designer is next generation, i.e., future of designing apps in MATLAB. The App Designer contains many new design components that are absent in the conventional app designing tool called GUIDE. The course is designed so that a person with the basic knowledge of MATLAB is able to transform his code to a beautiful User Interface and app. The motivation for the course, i.e., why should take it, is my observation that students and people put alot of effort in writing the code but little on its appearance. By learning this course, you will easily transform your code into a well understood piece of software that the users will find useful to interact with. All you need is motivation to learn and basic understanding of MATLAB such as variables, matrices and others. The course contains 1+ hours of recorded lectures. Every lecture contains a demonstration of the concepts and the codes are included with the course.




Practical Reinforcement Learning - Agents and Environments

2018/02/23February 15, 2018

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Get to grips with the basics of Reinforcement Learning and build your own intelligent systems About This Video Deep dive into the concepts and explore practical coding samples in R and Python This fast-paced guide will give you a better understanding of everything about RL concepts, frameworks, algorithms, and more Practical, real-world examples will help you get acquainted with the various concepts in RL In Detail Reinforcement Learning (RL) has become one of the hottest research areas in ML and AI, and is expected to have widespread usage in diverse areas such as neuroscience, psychology, and more. You can make an intelligent agent in a few steps: have it semi-randomly explore different choices of movement to actions given different conditions and states, then keep track of the reward or penalty associated with each choice for a given state or action. In this course, you’ll learn how to code the core algorithms in RL and get to know the algorithms in both R and Python. This video course will help you hit the ground running, with R and Python code for Value Iteration, Policy Gradients, Q-Learning, Temporal Difference Learning, the Markov Decision Process, and Bellman Equations, which provides a framework for modeling decision making where outcomes are partly random and partly under the control of a decision maker. At the end of the video course, you’ll know the main concepts and key algorithms in RL.




Using Elasticsearch and Kibana

2018/02/23February 14, 2018

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Scalable Search and Analytics for Document Data About This Video How search works, and the role that inverted indices and relevance scoring play The tf-idf algorithm and the intuition behind term frequency, inverse document frequency and field length Horizontal scaling using sharding and replication Powerful querying functionality including a query-DSL Using REST APIs - from browser as well as from cURL Kibana for exploring data and finding insights Support for CRUD operations - Create, Retrieve, Update and Delete Aggregations - metrics, bucketing and nested aggs Python client usage In Detail Elasticsearch wears two hats: It is both a powerful search engine built atop Apache Lucene, as well as a serious data warehousing/BI technology. This course will help you use the power of ES in both contexts: - ES as search engine technology and ES as data warehouse/OLAP technology.




Scalable Java 9 for the Connected Web

2018/02/23February 15, 2018

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Hands-on tutorial to help you optimize REST APIs using the latest Java 9 features. About This Video Get your application connected to the web using Java 9 Optimize the performance of your REST APIs This course will cover the latest version of Java with practical examples and use cases In Detail Java 9 is an all-new module system and comes with a rich feature set. The new language concepts, new APIs, and diagnostic commands will definitely be of interest to developers. The course will teach you to build your own REST API using the Spring Boot framework, and to consume data from an external API, by leveraging the REST and HTTP 2.0 protocols in a Java 9 application. This example will see us build a sentiment analyzer service that leverages the Google Cloud Sentiment Analysis API to provide sentiment information. We will start by building a simple wrapper around the Google Sentiment API, before starting to store requests in a text file and adding some statistical functionality to our requests. By the end of the course, you will have discovered the world of Java 9 programming using real-world examples.




High Availability for the LAMP Stack

2018/02/23February 15, 2018

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This step-by-step guide teaches you everything you need to know in order to eliminate single points of failure for your Linux, Apache, MySQL, and PHP based web applications. This is a full blown course that demonstrates everything step-by-step... This is not just a design, though. It's an entire course complete with lessons and demonstrations on actual Linux servers. I'll be performing the demonstrations on Ubuntu servers, but the concepts are the same no matter if you're using RedHat Enterprise Linux, CentOS, or another distribution. The only real difference is the couple of commands you'll use to perform some of the software installations. The design and configurations remain the same. Even though this course is targeted directly at the LAMP stack (Linux, Apache, MySQL, PHP), the concepts and techniques presented can be reused in a variety of other situations. If you ever need a floating IP, the ability to add more storage to servers without downtime, to balance loads across multiple servers, or deploy a highly available database cluster, you can put what you learn in this course to good use.




Machine Learning For Absolute Beginners

2018/02/23February 19, 2018

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A complete guide to master machine learning concepts and create real-world ML solutions About This Video Start at the very beginning and delve right into machine learning, before breaking down the most important concepts principles. The course does require you to have a mathematical background as machine learning relies heavily on mathematical concepts. In Detail If you’ve ever wanted the Jetsons to be real, well we aren’t that far off from a future like that. If you’ve ever chatted with automated robots, then you’ve definitely interacted with machine learning. From self-driving cars to AI bots, machine learning is slowly spreading its reach and making our devices smarter. Artificial intelligence is the future of computers, where your devices will be able to decide what is right for you. Machine learning is the core for having a futuristic reality where robot maids and robodogs exist. Machine learning includes the algorithms that allow the computers to think and respond, as well as manipulate the data depending on the scenario that’s placed before them. So, if you’ve ever wanted to play a role in the future of technology development, then here’s your chance to get started with machine learning. Because machine learning is complex and tough, we’ve designed a course to help break it down into more simple concepts that are easier to understand. It also requires you to have some experience with Python principles which will be required when we put the algorithms to test in actual real-world Python projects. The course covers a number of different machine learning algorithms such as supervised learning, unsupervised learning, reinforced learning and even neural networks. From there you will learn how to incorporate these algorithms into actual projects so you can see how they work in action! But, that’s not all. At the end of each unit, the course includes quizzes to help you evaluate your learning on the subject.




Learning Java EE 8

2018/02/23February 19, 2018

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Build a full fledged application with the latest API's About This Video A pragmatic and effective guide to learning the Java EE APIs Comprehensive, exampleoriented guide covering APIs and why approaches are necessary in modern Java EE 8 Demonstrates how to implement application business logic with minimal boilerplate code In Detail Java EE provides a standard set of specifications that can be used to develop standardized applications, independent of the vendor. Enterprise applications do not change that often, and hence we need a robust platform such as Java EE to ensure sustainability. Thus, this comprehensive course—covering all the features and APIs in Java EE—will be helpful for developers. It also answers questions related to how Java EE compares to the Java language, should developers transition to it, and what types of application would benefit from it. Both small businesses and large enterprises have benefitted from the various APIs provided by the Java EE platform to build dynamic web apps. This therefore remains one of the key skills sought by hiring companies. This course starts by exploring the core JAVA EE components. Moving further you will learn all about HTTP endpoints. You will learn how to map domain entities with JPA. Cross-cutting concerns will be covered exhaustively. This course teaches you how to deal with Asynchronous behavior. You will learn to access external systems. You will also learn about the asynchronous communication protocol. By the end of the course, you will be able to develop a car management enterprise application.




Concurrent Programming in Python

2018/02/23February 19, 2018

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Harness the power of modern code structures with Python to improve performance and flexibility About This Video A Practical course that focuses on concurrent programming in Python Covers the latest concurrent applications to take advantage of modern-day programming in Python Shows how to use different synchronization primitives to write multi-threaded code In Detail In this course, you will skill-up with techniques related to various aspects of concurrent programming in Python, including common thread programming techniques and approaches to parallel processing. Filled with examples, this course will show you all you need to know to start using concurrency in Python. You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing. After taking this course you will have gained an in-depth knowledge of using threads and processes with the help of real-world examples.




Learning Java 9 – Object Oriented Programming

2018/02/23February 19, 2018

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Take a sneak peek into Object-Oriented Programming with Java 9 About This Video This interactive and engaging guide provides a thorough overview of OOP in Java Explore real-world examples to help you build a strong foundation for other programming paradigms Demonstrations of the different primitive types available in the language, the difference between primitive types and their corresponding classes, and simple data structures such as arrays In Detail When it comes to learning programming skills, knowing how to program in Java is a clear advantage in your career, because with Java your code is more than just code! Java gives you cutting-edge, in-demand job skills in areas such as mobile, web apps, Internet of Things, big data, Machine learning, cloud platforms, and cloud Infrastructures. Whether you're developing a robust enterprise backend, building the frontend, or thriving in a DevOps role, having Java programming skills can up your game. This course starts by your installing Java 9, Maven, and the Intellij Community Edition on your computers, and running a simple "Hello World" example in Java to test the configuration. Moving along, you will gain an introduction to Java, the Java language runtime, and the Java Virtual Machine (JVM). Here we will discuss the benefits the JVM brings us, as well as demonstrating some very simple Java programming examples in the Java Shell (JShell), a Java REPL newly introduced for Java 9. Moving on, you will model a number of different types of motor vehicle, demonstrating the usefulness of the OOP paradigm, and how we can make use of it in Java. Here, we will cover objects, classes, inheritance, abstract classes, and interfaces. Now is the right time to start using some of the basic building blocks of Java. We start by discussing and demonstrating the different primitive types available and the difference between primitive types and their corresponding classes (for example: double vs. Double), as well as simple data structures such as arrays, each being illustrated with examples through JShell. The course demonstrates (with examples) lists, maps, and sets that are commonly used data sets . We then discuss the differences between the interface for each of these, and their corresponding concrete implementations. The tutorial concludes with loading a text file into a list data set, and sorting it. This comprehensive course will give you a practical sneak peek into programming in Java, along with the basics of Object Oriented Programming, the Java runtime language, the Java Virtual Machine (JVM), and the changes to the language introduced with Java 9—showing you exactly why Java is the #1 programming language in the World today!




Kubernetes Cookbook

2018/02/23March 2, 2018

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Kubernetes is becoming the de-facto standard for container orchestration and distributed applications management across a microservices framework. With this practical cookbook, you’ll learn hands-on recipes for automating the deployment, scaling, and operations of application containers across clusters of hosts. The book's easy-lookup problem-solution-discussion format helps you find the detailed answers you need—quickly. Kubernetes lets you deploy your applications quickly and predictably, so you can efficiently respond to customer demand. This cookbook, ideal for developers and system administers alike, provides the essential knowledge you need to get there. You’ll find recipes for: Kubernetes installation Kubernetes API, API groups Application primitives Monitoring Troubleshooting