AI/ML Resources

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

· 12,670 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

· 170,332 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

· 31,952 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

· 50,436 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

· 19,718 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

· 16,617 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

· 46,826 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

· 15,494 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

· 18,584 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

CORE

· 19,456 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

· 7,418 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

· 10,840 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

· 62,105 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

· 74,010 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

· 37,140 Views · 10 Likes

C++11 Performance Tip: Update on When to Use std::pow

Take a look at this benchmark to see when to use std::pow in C++, comparing the performance of std::pow against direct multiplications

Updated September 26, 2017

by Baptiste Wicht

· 4,235 Views · 1 Like

Decision Trees vs. Clustering Algorithms vs. Linear Regression

The goal of someone learning ML should be to use it to improve everyday tasks—whether work-related or personal. To do this, it's important to first understand algorithms.

September 26, 2017

by Sibanjan Das

CORE

· 28,785 Views · 17 Likes