AI/ML Resources

A-Life is the brain behind everything that happens within the S.T.A.L.K.E.R. video game series. Learn how it works and why it's revolutionary.

August 15, 2017

by Alex Cicala

· 7,668 Views · 1 Like

Solving a Clustering Problem Using the k-Means Algorithm With Oracle

Clustering algorithms let machines group data points or items into groups with similar characteristics. See how to use the k-means algorithm with Oracle to do clustering.

August 15, 2017

by Emrah Mete

· 13,489 Views · 7 Likes

Faster PostgreSQL Counting

Analyze the techniques available for different optimization situations in PostgreSQL and see how to parallelize counts in a distributed database.

August 11, 2017

by Joe Nelson

· 29,961 Views · 5 Likes

Kafka Producer in Java

This detailed tutorial will help you create a simple Kafka producer, which allows you to publish records to the Kafka cluster.

August 10, 2017

by Jean-Paul Azar

· 108,865 Views · 14 Likes

Introduction to Imitation Learning

Imitation learning can help us solve sample inefficiency and computational feasibility problems, and also might potentially make the AI training process safer.

August 9, 2017

by Vitaly Kurin

· 5,561 Views · 2 Likes

AI Bot Alice From the Mad Botter Offers Agencies Automation and Integration

Learn about the AI bot Alice from The Mad Botter, which is a means to allow distributed teams to automate and communicate with ease.

August 6, 2017

by Moe Long

CORE

· 4,731 Views · 3 Likes

Coffee With a Data Scientist: Tuhin Chattopadhyay, Ph.D.

In the fourth issue of DZone's Coffee With a Data Scientist, we had a chat with business analytics evangelist, Tuhin Chattopadhyay, to glean some of his expert insights and opinions on the Big Data space.

August 4, 2017

by Michael Tharrington

· 9,433 Views · 4 Likes

Event Driven Microservices Patterns

Read about the motivation behind the switch to microservices, and some of the patterns that make these applications more scalable.

August 4, 2017

by Carol McDonald

· 68,159 Views · 75 Likes

Where Are the Biggest Opportunities for AI?

Here's what 22 executives who are familiar with AI said when we asked them, "What are the most common issues you see preventing companies from realizing the benefits of AI?"

July 31, 2017

by Tom Smith

CORE

· 10,607 Views · 3 Likes

When to Use Artificial Intelligence in Mobile Apps

Reports show that AI will be the number one integration for mobile apps in the coming years. Learn where it can do the most good in your apps.

July 28, 2017

by Amy Groden-Morrison

· 8,977 Views · 2 Likes

Having machine learning skills is not enough. You also need good working knowledge of data structures. Learn more and get some problems to practice with.

July 28, 2017

by Luba Belokon

· 38,625 Views · 30 Likes

How I Used Deep Learning to Train a Chatbot to Talk Like Me (Sorta)

See how to use a deep learning model to train a chatbot based on past social media conversations in hopes of getting the chatbot to respond to messages the way you would.

July 27, 2017

by Adit Deshpande

· 40,474 Views · 18 Likes

Akka Monitoring: Telemetry OpenTracing

This look at Lightbend's OpenTracing displays how you can monitor and trace your Akka actors and visualize that data with Zipkin or Jaeger.

July 27, 2017

by Hugh McKee

· 9,227 Views · 5 Likes

Working With Centralized Logging With the Elastic Stack

See how Filebeat works with the Elastic, or ELK, stack to locate problems in distributed logs for an application with microservices architecture.

July 24, 2017

by Rafael Salerno

· 7,087 Views · 2 Likes

Designing a Neural Network in Java From a Programmer's Perspective

Learn an approach to programming a neural network using Java in a simple and understandable way so that the code can be reused for various experiments.

July 18, 2017

by Daniela Kolarova

CORE

· 88,100 Views · 34 Likes

Mimic Snapchat Filters Programmatically

Learn to create a facial recognition type app that mimics the filters feature so popular with Snapchat users, for use in your own mobile app.

July 14, 2017

by Garnier Vincent

· 37,752 Views · 5 Likes

What's the Future of Integration and APIs?

More systems are being connected more seamlessly thanks to the integration of artificial intelligence (AI) and machine learning (ML).

July 12, 2017

by Tom Smith

CORE

· 15,776 Views · 3 Likes

Learn the Math for Feedforward Neural Networks

If you're learning about feedforward neural networks for the first time, understanding the math behind them is a great place to start.

July 11, 2017

by Pranjut Gogoi

· 6,029 Views · 6 Likes

The Inception of Neural Networks and Finite State Machines

In the first post of this series, get a brief look at research about neural networks, finite state machines, models of the human brain, and abstract machines.

July 11, 2017

by Daniela Kolarova

CORE

· 8,573 Views · 9 Likes

NATS: The Good, Gotchas, and Some Awesome Features

Read about some of the great features, and the catches, of the NATS open source messaging system for cloud native apps, IoT messaging, and microservices architectures.

July 6, 2017

by Karolis R

· 6,603 Views · 4 Likes

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