SpaCy, a fast, user-friendly library for teaching computers to understand text, simplifies NLP techniques, such as speech tagging and syntactic dependencies, so you can easily extract information, attributes, and objects from massive amounts of text to then document, measure, and analyze. This Learning Path is a hands-on introduction to using SpaCy to discover insights through natural language processing. While end-to-end natural language processing solutions can be complex, you’ll learn the linguistics, algorithms, and machine learning skills to get the job done.
Secure your network with ease by leveraging this step-by-step tutorial on the powerful Wireshark 2
An in-depth video course that covers advanced Swift programming and focuses on writing highly performant, elegant, and readable code
Architect your automation workflow using Grunt
Welcome to the world's most comprehensive course on iOS development. This course is designed like an in-person coding bootcamp to give you the most amount of content and help with the least amount of cost.
If you're building relational, time series, IoT, or real-time architectures using Hadoop, you should be familiar with Apache Kudu. Kudu enables fast analytics on fast data by completing Hadoop’s storage layers, providing a new option to achieve fast scans and fast random access from a single API. This Learning Path introduces you to Apache Kudu, exploring what it is, when to use it, and how to use it in conjunction with popular Hadoop ecosystem tools. You’ll apply this knowledge by building and running a real-time analytical application using Kudu, Impala, Kafka, and Spark.