AI/ML Resources

Want to learn more about digital hashing and digital signature? Check out this guide to the different types of DS algorithms used for security purposes.

Updated August 28, 2018

by Zhanna Lyasota

· 24,441 Views · 3 Likes

Python Machine Learning: Tasks and Applications

In this article, we will introduce you to Machine Learning with Python. Moreover, we will discuss Python Machine Learning tasks, steps, and applications.

August 27, 2018

by Shailna Patidar

· 8,320 Views · 1 Like

Assessing Quality of AI Models from QA Standpoint

In this post, you will learn about the definition of quality of AI/Machine Learning (ML) models.

August 25, 2018

by Ajitesh Kumar

· 5,335 Views · 3 Likes

Strategy vs. Factory Design Patterns in Java

Want to learn more about using strategy and factory patterns in Java? Check out this tutorial to learn how to use both on your next project!

August 24, 2018

by Brijesh Saxena

CORE

· 79,943 Views · 23 Likes

Top 10 Business Opportunities for Augmented Reality

Augmented Reality and app development hold immense promise for businesses. Check out this post to discover the top 10 AR business opportunities.

August 22, 2018

by Varun Bhagat

· 17,458 Views · 4 Likes

How to Build Custom Image Classifiers in Java With Minimal ML Experience

Look at how to create a training project, add classification tags, upload images, train the project, obtain the endpoint URL, and use the endpoint to test an image.

Updated August 21, 2018

by Ruth Yakubu

· 12,439 Views · 4 Likes

Machine Learning vs Deep Learning

What is the difference between Machine Learning and Deep Learning? Let's take a look at the answer in this article.

August 18, 2018

by Shailna Patidar

· 73,163 Views · 8 Likes

Testing Features of ML Models

In this post, you will learn about different types of test cases that you could come up for testing features of the data science/Machine Learning models.

Updated August 17, 2018

by Ajitesh Kumar

· 9,281 Views · 2 Likes

20 Best Practices for Working With Apache Kafka at Scale

In this post, a software engineer gives a great look at 20 ways fellow developers and data scientists can use Apache Kafka to its utmost.

August 15, 2018

by Tony Mancill

· 99,031 Views · 35 Likes

QA for Machine Learning Models With the PDCA Cycle

Learn how DevOps and AI come together in the PDCA cycle to create a strategy for DevOps-style quality assurance of machine learning and data science projects.

August 12, 2018

by Ajitesh Kumar

· 12,758 Views · 2 Likes

AI in eCommerce: Benefits, Statistics, Facts, Use Cases, and Case Studies

Let's take a look at artificial intelligence in eCommerce and the benefits, statistics, facts, use cases, and case studies.

August 9, 2018

by Ekaterina Novoseltseva

CORE

· 149,776 Views · 3 Likes

Quality Assurance and Testing the ML Model

This article delves into the meaning of quality assurance and looks at what can be tested with ML models.

August 9, 2018

by Ajitesh Kumar

· 19,364 Views · 2 Likes

Data Pipeline: Send Logs From Kafka to Cassandra

In this post, we look at how to create a big data pipeline for web server logs using Apache Kafka, Python, and Apache Cassandra.

August 9, 2018

by Bill Ward

· 19,273 Views · 9 Likes

Naive Bayes Tutorial: Naive Bayes Classifier in Python

In this tutorial, we look at the Naive Bayes algorithm, and how data scientists and developers can use it in their Python code.

August 8, 2018

by Kislay Keshari

· 157,133 Views · 7 Likes

Memoization: Make Recursive Algorithms Efficient

Learn how to use a technique called memoization to make recursive algorithms efficient through dynamic programming.

August 8, 2018

by Yogen Rai

· 22,171 Views · 12 Likes

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

· 8,938 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

· 9,900 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

· 10,746 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

· 16,703 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

· 9,130 Views · 5 Likes

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