AI/ML Resources

Let's take an in-depth look at 15 business opportunities that are enabled by Artificial Intelligence, such as autonomous vehicles.

October 12, 2018

by Max Qasmi

· 21,035 Views · 1 Like

Knowledge Graph Search With Elasticsearch and Neo4j

Let's take a look at the history of knowledge graphs and take a deep-dive into a specific use case.

Updated October 12, 2018

by Luanne Misquitta

· 17,127 Views · 6 Likes

Is AI Going to Transform the Design Industry?

Let's take a look at AI in the design industry and explore whether or not designers can use AI.

October 10, 2018

by Khalid Durrani

· 17,691 Views · 3 Likes

Hybris With Docker for Development in Windows Machine

This tutorial will show you how you can install Hybris using Docker for virutualization and persistence on a Windows machine.

Updated October 10, 2018

by Joydip Kumar

· 16,039 Views · 6 Likes

Security Attacks: Analysis of Machine Learning Models

Want to learn more about security for machine learning models? Check out this post to learn more about ML, security, attacks, and more.

October 9, 2018

by Ajitesh Kumar

· 10,201 Views · 2 Likes

Why Use K-Means for Time Series Data? (Part One)

In this post, we take a look at the concept of K-Means clustering and how it can be used to work with time series data. Read on to get started!

October 9, 2018

by Anais Dotis-Georgiou

· 15,424 Views · 8 Likes

10 Algorithms and Programming Courses to Crack Coding Interviews

Many junior developers dream of making it at one of the larger tech companies. Take a look at this list for some resources to prepare for your interview.

October 6, 2018

by Javin Paul

· 49,657 Views · 26 Likes

Building a Regression Model Using Oracle Data Mining

In this post, we look at how to use SQL and Oracle data mining techniques to better work with the big sets coming into our databases.

October 4, 2018

by Emrah Mete

· 13,178 Views · 7 Likes

Lessons Learned While Solving Time-Series Forecasting as a Supervised ML Problem: Part 2

This article will focus on approaches to be followed while creating an ML model and making predictions.

October 3, 2018

by Parin Gosaliya

· 11,618 Views · 4 Likes

The Levenshtein Distance Algorithm

In this article, we take at look at an interesting algorithm that can be applied to the work of data scientists and data analysts.

October 2, 2018

by Nikhil Babar

· 121,955 Views · 11 Likes

Serverless Functions vs. Virtual Machines: A Total Cost of Ownership Comparison

When companies want to scale, they want the most bang for their buck. See whether virtual machines or serverless functions makes more cents.

October 1, 2018

by Michael Behrendt

· 12,525 Views · 4 Likes

QA: How Reliable Are Your Machine Learning Systems?

Let's learn about what the reliability of ML systems is, why you should bother with ML model's reliability, and who should take care of the ML system's reliability.

Updated October 1, 2018

by Ajitesh Kumar

· 6,674 Views · 5 Likes

Learn AI for Free

There's a skills shortage in AI. Thinking of retraining? Here are some free learning resources to find out if machine learning is for you.

Updated September 29, 2018

by Jo Stichbury

CORE

· 24,678 Views · 13 Likes

ML Metrics: Sensitivity vs. Specificity

In this post, you will learn about the concepts related to Sensitivity and Specificity and how are they used for measuring the Machine Learning model performance.

Updated September 27, 2018

by Ajitesh Kumar

· 76,585 Views · 3 Likes

Not Only Cars: The Six Levels of Autonomous Testing

What do autonomous cars have in common with autonomous testing? How close are we to completely automated tests? Read on for the answers.

September 27, 2018

by Gil Tayar

· 9,649 Views · 6 Likes

The Power of a Volunteer Computer Network

Your computer's idle time can help scientific research. Find out how to contribute it to one of the world's largest supercomputers.

Updated September 26, 2018

by Jo Stichbury

CORE

· 8,739 Views · 3 Likes

Working Principles of Generative Adversarial Networks (GANs)

Take a look at working principles of Generative Adversarial Networks (GANs) and explore the principles of GAN as well as a video of what they are and how they work.

Updated September 25, 2018

by Richard Gall

· 18,841 Views · 3 Likes