AI/ML Resources

How Neo4j Is Making Graph Technology More Accessible

In today's news: Neo4j is announcing Cypher for Apache Spark and the Neo4j Native Graph Platform. Come learn about it all, according to Neo4j's Head of Product Marketing.

October 24, 2017

by Tom Smith

CORE

· 5,615 Views · 2 Likes

Learning Neural Networks Using Java Libraries

Learn about the evolution of neural networks and get a summary of popular Java neural network libraries in this short guide to implementing neural networks from scratch.

October 22, 2017

by Daniela Kolarova

CORE

· 22,984 Views · 20 Likes

Reinforcement Learning for the Enterprise

Reinforcement learning is a first step towards artificial intelligence that can survive in a variety of environments instead of being tied to certain rules or models.

October 21, 2017

by Sibanjan Das

· 15,410 Views · 8 Likes

Changing Attitudes and Approaches Towards Privacy, AI, and IoT

Big data, IoT, and AI have all contributed to the widespread use of personal info. The privacy debate is at a crossroads where the public, authorities, and companies must decide in which direction the industry will turn.

October 20, 2017

by Ira Pasternak

· 9,456 Views · 6 Likes

AI-Powered NLP: The Evolution of Machine Intelligence From Machine Learning

With the advent of deep learning techniques, MI objectives like automated real-time question-answering, emotional connotation, fighting spam, and more are achieved.

October 19, 2017

by Tuhin Chattopadhyay

CORE

· 13,394 Views · 6 Likes

An Introduction to Caching: How and Why We Do It

When it comes to caching, what was once a nice-to-have it now a must-have. Check out this detailed article to learn everything you need to know about caching!

October 19, 2017

by Arun Tawara

· 172,374 Views · 47 Likes

TensorFlow for Real-World Applications

TensorFlow and deep learning are things that corporations must now embrace. The coming flood of audio, video, and image data and their applications are key to success.

October 17, 2017

by Tim Spann

CORE

· 32,532 Views · 10 Likes

Using Machine Learning to Retrieve Relevant CVs Based on Job Description

If you've ever tried to hire anyone, you know how difficult it can be to pour through hundreds of resumes and find the right one. AI can take the pain out of the process!

October 16, 2017

by Francis C. Fernandez-Reyes

· 51,055 Views · 14 Likes

Stream Processing With Apache Flink

See how to get started with writing stream processing algorithms using Apache Flink. by reading a stream of Wikipedia edits and getting some meaningful data out of it.

October 16, 2017

by Ivan Mushketyk

· 20,396 Views · 9 Likes

Best Practices: Performance Tuning Real Life MuleSoft APIs

In this post, we offer some insights into how to avoid pitfalls and achieve development efficiency, performance, and scalability.

October 16, 2017

by Ali Salman Rizvi

· 17,288 Views · 5 Likes

Video Analysis to Detect Suspicious Activity Based on Deep Learning

Learn how to build on AI system that can classify a video into three classes: criminal or violent activity, potentially suspicious, or safe.

October 14, 2017

by Cristyan Rufino Gil Morales

· 47,585 Views · 27 Likes

Getting Started With Batch Processing Using Apache Flink

If you've been following software development news recently you probably heard about the new project called Apache Flink. I've already written about it a bit...

October 13, 2017

by Ivan Mushketyk

· 16,123 Views · 9 Likes

Machine Learning: Past and Present

We've seen an explosion of interest in machine learning in the past few years. But where did machine learning come from and why is there so much interest in it now?

October 13, 2017

by John Manslow

· 337 Views · 4 Likes

Deep Learning vs. Machine Learning

If you have often wondered to yourself about the difference between machine learning and deep learning, read on to get a detailed comparison in simple layman language.

October 12, 2017

by Faizan Shaikh

· 19,297 Views · 6 Likes

A Trial Run With H2O AutoML in R: Automated Machine Learning Functionality

No more coding for different models, noting down the results, and selecting the best model — AutoML is going to do all of these for you while you brew a cuppa!

October 10, 2017

by Sibanjan Das

· 20,054 Views · 4 Likes

New iPhones Show Artificial Intelligence Is the Future of Mobile Apps

The newest generation of iPhones embraces AI. Learn how this will change the way we use and develop apps, and how Android is following suit.

October 6, 2017

by Amy Groden-Morrison

· 7,833 Views · 3 Likes

Deep Dive Into Spark Cluster Management

Learn about the different cluster management modes that you can run in your Spark application - standalone, Mesos, Yarn, and Kubernetes - and how to manage them.

October 5, 2017

by Sangeeta Gulia

· 11,589 Views · 3 Likes

How to Train TensorFlow Models Using GPUs

GPUs can accelerate the training of machine learning models. In this post, explore the setup of a GPU-enabled AWS instance to train a neural network in TensorFlow.

October 4, 2017

by Kseniya Savitsina

· 62,722 Views · 5 Likes

When to Use Linear Regression, Clustering, or Decision Trees

Many articles define decision trees, clustering, and linear regression, as well as the differences between them — but they often neglect to discuss where to use them.

October 4, 2017

by Parikshit Joshi

· 75,161 Views · 12 Likes

Top 12 AI Tools, Libraries, and Platforms

If you're looking to start an AI project but don't know where to start, check out this article. We've listed the top 12 AI tools, libraries, and platforms, what they are typically used for, what pros and cons they come with, and more!

September 27, 2017

by Sarah Davis

· 38,064 Views · 10 Likes

The Latest AI/ML Topics