AI/ML Resources

How to Run a Vert.x Cluster With Broadcasting Messaging

Learn how to work with multiples verticles in Vert.x clusters between multiple applications in a clustered environment.

August 7, 2018

by Hüseyin Akdoğan

CORE

· 9,604 Views · 2 Likes

TensorFlow + MQTT + Apache Kafka

Let's take a brief look at a use case with connected cars and real-time streaming analytics using deep learning.

August 3, 2018

by Kai Wähner

CORE

· 10,334 Views · 2 Likes

Gensim – Vectorizing Text and Transformations

Let's take a look at what Gensim is and look at what vectors are and why we need them. Also look at the bag-of-words model and TF-IDF.

August 1, 2018

by Richard Gall

· 11,321 Views · 3 Likes

Machine Learning: In Plain English

In this article, I'll describe how analytics is related to ML. I'll try to demystify some of the nonsense around Machine Learning and explain the process and types of ML.

July 31, 2018

by John Ryan

· 18,261 Views · 6 Likes

What's Next for the Next-Generation iPaaS?

What's next in the next-generation iPaaS? Let's take a look at research happening in the integration domain and specifically iPaaS.

July 31, 2018

by Prasanna Kumar Illa

· 9,573 Views · 5 Likes

Create Beautiful Java Visualizations With Tablesaw's Plot.ly Wrapper

Want to learn more about creating Java visualizations? Check out this post to learn more about Tablesaw's open source platform, plot.ly.

July 30, 2018

by Larry White

· 29,244 Views · 4 Likes

How to Deploy OpenCV on Raspberry Pi and Enable Machine Vision

Want to learn how to enable machine vision on your Raspberry Pi? Check out this tutorial on how to deploy the OpenCV on your Raspberry Pi.

July 30, 2018

by Francesco Azzola

· 22,135 Views · 7 Likes

Go Go, Go! Stream Processing for Go

A tutorial on how to use the open source Wallroo Labs big data platform to create stream processing for Go-based applications.

July 27, 2018

by Andrew Turley

· 9,701 Views · 2 Likes

Load Balancers and High Volume Traffic Management

Learn how load balancers came into use and how the different types help applications handle high volume traffic for optimal performance.

July 27, 2018

by Pavlo Konobeyev

· 33,106 Views · 12 Likes

Data Quality and Validation

Examples of data quality and validation checks and how easy it is to programmatically ensure data quality with the help of Apache Spark and Scala.

July 24, 2018

by Vinod Kumar

· 28,193 Views · 9 Likes

8 Prerequisites for Building an OCR Scanner From Scratch

Let's take a look at eight prerequisites for building an OCR scanner from scratch, such as delving into segmentation, pre-processing, and representation.

July 24, 2018

by Infrrd AI

· 10,750 Views · 4 Likes

Feature Engineering

Feature engineering is a huge part of ML and deep learning. Read on to learn how feature engineering helps developers work with data.

July 15, 2018

by Bhalchandra Madhekar

· 10,144 Views · 4 Likes

Why Record and Replay Isn't Enough for Automated API Testing

Discover what uses AI to convert manual UI tests into automated API tests so you don't need expertise in API testing or even the ability to write any code to get started.

July 12, 2018

by Chris Colosimo

· 6,031 Views · 4 Likes

5 Hosted Kubernetes Platforms

With the number of services for Kubernetes increasing at a fast pace, we take a look at five such services and compare them.

July 12, 2018

by Daniel Berman

· 13,553 Views · 3 Likes

Unlocking the Power of Industrial Automation Through Java

How can we use Java in IoT and industry? Why is industrial automation so important? Click here to learn more about Java, industrial automation, and the Industry 3.0.

July 12, 2018

by Svetlana Stasilovich

· 7,188 Views · 2 Likes

Model Serving: Stream Processing vs. RPC/REST With Java, gRPC, Apache Kafka, TensorFlow

We take a look at these popular technologies, and see how they compare to stream processing when working with model serving.

July 10, 2018

by Kai Wähner

CORE

· 20,108 Views · 5 Likes

Serverless Case Study: Coca-Cola

If you're curious who is using serverless technology seriously in big corporations, then you'll want to check out this quick case study that covers how Coca-Cola is leveraging this technology.

Updated July 10, 2018

by John Demian

· 10,478 Views · 7 Likes

Machine Learning With H2O — Hands-On Guide for Data Scientists

This hands-on guide aims to explain the basic principles behind H2O and get you as a data scientist started as quickly as possible in the most simple way.

June 27, 2018

by Pavel Pscheidl

· 49,959 Views · 12 Likes

Introduction to Spark With Python: PySpark for Beginners

In this post, we take a look at how to use Apache Spark with Python, or PySpark, in order to perform analyses on large sets of data.

June 20, 2018

by Kislay Keshari

· 44,833 Views · 15 Likes

Calculating TF-IDF With Apache Spark

In this article, we look at using Apache Spark with the Spark SQL API to write TF-IDF algorithms using Scala for texting mining.

June 15, 2018

by Arseniy Tashoyan

· 39,553 Views · 3 Likes

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