Subject

Data

Learning From the Past: data usability

By Tryggvi Björgvinsson

Everywhere we go we are surrounded by data, but it’s not always simple to interpret. Not only that, it’s also rather easy to mistakenly interpret data. This article, adapted from chapter 1, introduces the idea of “data usability” and goes into why it’s important in today’s data-rich world.

Slideshare: Murder Mystery: a data project


slideshare-murder-mystery-a-data-project

By Tryggvi Björgvinsson

Deep Learning for Text  

By François Chollet

In this article, we’ll learn about deep learning models that can process text (understood as sequences of word or sequences of characters), timeseries, and sequence data in general.

Solving Mazes with Swift

By David Kopec

This article is all about finding a path through mazes, which is an analogous to many common search problems in computer science. Examples are in Swift.

How Streams Relate to Database Tables in Kafka

By Bill Bejeck

In this article, we’re going to look deeper into adding state. Along the way, we’ll get introduced to new abstraction, the Ktable, after which we will move further on to discuss how event streams and database tables relate to one another in ApacheKafka (Kstream and Ktable, respectively).

Constructing a Yelling App with Kafka Streams

By Bill Bejeck

This article will quickly get you off the ground and show you how Kafka Streams works. We’re going to make a toy application that takes incoming messages and upper-cases the text of those messages, effectively yelling at anyone who reads the message. This application is called the “Yelling Application”.

Slideshare: Specifying Data Type in R

From Data Munging with R

slideshare-specifying-data-type-in-r

By Dr. Jonathan Carroll

Slideshare: A* Search in Swift: navigating a maze

From Classic Computer Science Problems in Swift

slideshare-a-asterisk-search-in-swift-navigating-a-maze

By David Kopec

Introducing Keras: deep learning with Python

By François Chollet

This article introduces Keras, a deep learning library for Python that can be used with Theano and TensorFlow to build almost any sort of deep learning model.

Building Your Vocabulary

In this article, you will learn about tokenization in Natural Language Processing.

Save 37% off Natural Language Processing in Action with code fcclane at manning.com.

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