Web Personalisation with Drupal and Machine Learning
In this modern age, self-driving cars, voice-based assistants, social media feeds, and more are the tools fuelled by the technological marvel of the 21st century called m...
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MLOps vs. DevOps: the similarities and differences
In this post, we explore two terms which are becoming relatively common in professional machine learning applications – MLOps and DevOps The term MLOps refers to a set ...
simdjson-go: Parsing gigabytes of JSON per second in Go
Written by Frank Wessels Introduction JSON has established itself as the “lingua franca” of the web. As such the parsing performance of JSON is hugely importa...
You should stop worrying about R vs. Python vs. whatever the tool
The big question and its answer are about solving problems. All the rest are only tools to get them done. In a world that is daily becoming more binomial (and boring beca...
Overcoming surprises faced by Programmers migrating to Machine learning projects
Traditional programmers hit a stone-wall when they start working on Machine Learning (ML) development projects. They were used to coding based on design derived from requ...
The Impact of Artificial Intelligence on Online Coupon Industry
It seems almost redundant to say this, but coupons are a significant hit among, well, everyone. And while that is common knowledge, there’s research to prove that asser...
Top Reasons Why the Real Estate Industry is Interested in Technology
It is no secret that technology has virtually transformed every industry in the world. From empowering the manufacturing industry with tools like virtual reality, augment...
The 10 Deep Learning Methods AI Practitioners Need to Apply
This article was written by James Le. Neural networks are one type of model for machine learning; they have been around for at least 50 years. The fundamental unit of a n...
Mastering Machine Learning Algorithms Second Edition
Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today&...
The Past, Present and the Future of Natural Language Processing?
Making our machines understand the language has made significant changes in the field of machine learning and has improvised the various Natural Language Processing model...