Natural language processing (NLP) is the technique to provide semantics to information extracted from optical character recognition engines and documents. In this article, we progress from reviewing the recent history of natural language processing towards a deeper understanding of information understanding through NLP.

We will look at the history, biggest open problems and frontiers methodology.

For a coffee enthusiast, nothing gives as much gratification as participating in every step of the coffee-making process and making the most out of the precious, well-loved beans. From choosing the roast to getting the perfect grind and to choosing the approach of extracting that liquid gold, it’s as much a ritual as it is an adventure into the pristine world of caffeine.

While there are many ways of making your own cup of coffee, nothing can be compared to pour-over coffee for a “big coffee lover who knows his cup”, and the golden line always is how to make a consistently amazing cup of one.

In the fast-paced field of web applications, containerization has become not only common but the preferred mode of packaging and delivering web applications. Containers allow us to package our applications and deploy them anywhere without having to reconfigure or adapt our applications to the deployment platform.

Amazon Elastic Container Service (Amazon ECS) is the service Amazon provide to run Docker applications on a scalable cluster.

Machine learning with natural language is faced with one major hurdle – its algorithms usually deal with numbers, and natural language is, well, text. So we need to transform that text into numbers, otherwise known as text vectorization.

The multi-armed bandit problem is a class example to demonstrate the exploration versus exploitation dilemma. This post introduces the bandit problem and how to solve it using different exploration strategies.

Choose from 15 purpose-built database engines including relational, key-value, document, in-memory, graph, time series, and ledger databases.

With AWS databases, you don’t need to worry about database management tasks such as server provisioning, patching, setup, configuration, backups, or recovery.

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.

Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.

• The model layer
• The view layer
• The template layer

• Variables
• Stored Procedures and Functions
• Control Flow Functions