Refine your data science skills with the heavy armory of tools provided by Julia
The course is designed for engineers and data scientists who have some familiarity with Scala, Apache Spark, and machine learning who need to process large natural language text in a distributed fashion.We will use sample of posts from the subreddit /r/WritingPrompts, which contains short stories and comments about the short stories.The course has four parts1. Building a natural language processing and entity extraction pipeline on Scala & Spark2.
This is the first of a four-part series designed to help you prepare for the International Council of E-Commerce Consultant's Certified Ethical Hacker (CEH) exam. This course focuses on several key areas of knowledge tested in that exam: You will learn how to perform reconnaissance on companies, networks, systems, and people; how to conduct footprinting; how to exercise resource enumeration; how to sniff networks and scan them in order to better understand the attack landscape; and how to ethically gain access to systems, networks and data.
If you have some Python experience, and you want to take it to the next level, this practical, hands-on Learning Path will be a helpful resource. Video tutorials in this Learning Path will show you how to use Python for distributed task processing, perform large-scale data processing in Spark using the PySpark API, and tackle machine learning tasks with Python.
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Develop faster, better and more elegantly with the power of Angular 2.
Spark is one of today’s most popular distributed computation engines for processing and analyzing big data. This course provides data engineers, data scientist and data analysts interested in exploring the technology of data streaming with practical experience in using Spark. You’ll learn about the Spark Structured Streaming API, the powerful Catalyst query optimizer, the Tungsten execution engine, and more in this hands-on course where you’ll build small several applications that leverage all the aspects of Spark 2.0. While not a requirement, the course works best for those with some Scala experience.
Networking is a complex but essential area of study for system administrators. This Learning Path covers the ways users can connect to a network; the concepts of switching, routing, and internetworking; end-to-end protocols; end-to-end data; network security; and everything else you need to know to keep a network functioning smoothly.
In this Network Technology and Security Fundamentals training course, expert author David Miller teaches you how to secure and protect information as it flows across an enterprise network.