Update

Linkedin Learning – CySA Plus CS0-002 Cert Prep 1 Threat Management UPDATE 20200403

Linkedin Learning – CySA Plus CS0-002 Cert Prep 1 Threat Management UPDATE 20200403-XQZT
English | Size: 377.83 MB
Category: Tutorial

As cybersecurity threats become more sophisticated and pervasive, the need for IT professionals with security analytics expertise has grown exponentially. Earning the CompTIA Cybersecurity Analyst (CySA+) certification shows potential employers that you understand how to tackle cybersecurity threats using a behavioral analytics-based approach. This course the first installment in the CySA+ (CS0-002) Cert Prep series can provide you with a foundational understanding of threat management practices, and prepare you for the Threat and Vulnerability Management domain of exam CS0-002. Instructor Mike Chapple includes coverage of cybersecurity threats, reconnaissance techniques, and attack frameworks. He also goes over a variety of malware threats and key cloud security topics

Lynda – iOS Development Tips Weekly UPDATE 20200324

Lynda – iOS Development Tips Weekly UPDATE 20200324-APoLLo
English | Size: 2.17 GB
Category: Tutorial

What if it only took a few minutes a week to become a better iOS developer? This series is designed to provide small, smart hacks that can improve the way you code with Xcode and Swift. Tune in every Tuesday for another short video, on topics such as version control with Git, MapKit, iPad Playgrounds, and iPhone X development. Create faster, more reliable, and better-looking apps for iPad, iPhone, or Apple Watch. Steven Lipton will help you take your iOS (and watchOS) projects to the next level, one week at a time.

Lynda – R for Data Science Lunchbreak Lessons UPDATE 20200403

Lynda – R for Data Science Lunchbreak Lessons UPDATE 20200403-APoLLo
English | Size: 1.11 GB
Category: Tutorial

Programming is learned in small bits. You build on basic concepts. You transfer the knowledge you already have to the next language. Lunch Break Lessons teaches R-one of the most popular programming languages for data analysis and reporting-in short lessons that expand on what existing programmers already know.

Lynda – Building Recommender Systems with Machine Learning and AI UPDATE 20200402

Lynda – Building Recommender Systems with Machine Learning and AI UPDATE 20200402-APoLLo
English | Size: 1.60 GB
Category: Tutorial

Automated recommendations are everywhere: Netflix, Amazon, YouTube, and more. Recommender systems learn about your unique interests and show the products or content they think you’ll like best. Discover how to build your own recommender systems from one of the pioneers in the field. Frank Kane spent over nine years at Amazon, where he led the development of many of the company’s personalized product recommendation technologies. In this course, he covers recommendation algorithms based on neighborhood-based collaborative filtering and more modern techniques, including matrix factorization and even deep learning with artificial neural networks. Along the way, you can learn from Frank’s extensive industry experience and understand the real-world challenges of applying these algorithms at a large scale with real-world data. You can also go hands-on, developing your own framework to test algorithms and building your own neural networks using technologies like Amazon DSSTNE, AWS SageMaker, and TensorFlow.

Linkedin Learning – Node js Essential Training UPDATE 20200402

Linkedin Learning – Node js Essential Training UPDATE 20200402-ZH
English | Size: 257.62 MB
Category: Tutorial

Node.js is a powerful tool for controlling servers, building web applications, and creating event-driven programs. And it takes JavaScript a language familiar to all web developers out of the browser. With Node.js, you can build applications that run on your laptop or even the cloud. In this course, learn the essentials of Node.js and start creating your own JavaScript applications. Instructor Alex Banks acquaints you with all of the basics, showing how to install Node.js and work with the Node.js core, which includes standard input, standard output, the module system, the file system, and how to write and run JavaScript on the server. Upon wrapping up this course, you ll be equipped with fundamental Node.js concepts and techniques that you can put to use in your next project