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The history of machine learning algorithms

The history of machine learning algorithms

Machine learning algorithms can perform exponential tasks today—from mastering board games and identifying faces to automating daily tasks and making predictive decisions—this...

Alan Turing: Tech Ideas that revolutionized 20th Century

Alan Turing: Tech Ideas that revolutionized 20th Century

Turing over his lifetime produced various groundbreaking seminal papers and works. In this write-up, I am going to delve into four such major works: “On Computable Numbers, with...

The possibilities and limitations of machine learning

The possibilities and limitations of machine learning

Machine learning, the process whereby a computer learns future responses through data analysis via an algorithm, is already enmeshed in finance and accounting. It sits in the...

Causal Modeling in Machine Learning Workshop

Causal Modeling in Machine Learning Workshop

Causal Modeling in Machine Learning Workshop The most efficient path to engineering causal reasoning in machine learning applications. A online workshop in causal modeling and...

What is Adversarial Machine Learning? - KDnuggets

What is Adversarial Machine Learning? - KDnuggets

In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a...

How to Scale AI in Your Organization

How to Scale AI in Your Organization

AI is embedding itself into the products and processes of virtually every industry. But implementing AI at scale remains an unresolved, frustrating issue for most organizations....

How Data Versioning Can Be Used in Machine Learning

How Data Versioning Can Be Used in Machine Learning

We deal with data on a daily basis, whether it is in the form of documentation or in the form of... We deal with data on a daily basis, whether it is in the form of...

The Data Scientific Method vs. The Scientific Method

The Data Scientific Method vs. The Scientific Method

Editor’s note: Patrick Hall is a speaker forODSC East 2022this April 19th-21st. Be sure to check out his talk, “A Tutorial on Machine Learning Model Governance,” there! Data...

When it comes to AI, can we ditch the datasets?

When it comes to AI, can we ditch the datasets?

Huge amounts of data are needed to train machine-learning models to perform image classification tasks, such as identifying damage in satellite photos following a natural...

When is Machine Learning Worth it?

When is Machine Learning Worth it?

Last week I had an interesting exchange with a friend about integrating machine learning complex technology pipelines. To make his point he referred to this recent paper by...

Metaverse: How AI is Bridging the Virtual and Real?

Metaverse: How AI is Bridging the Virtual and Real?

SwissCognitive Guest Blogger: Gaurav Kanabar, Founder and CEO, Alphanso Tech  – “Metaverse: How AI is Bridging the Virtual and Real?” And importantly, how can businesses make...

Machine Learning for Astrophysics

Machine Learning for Astrophysics

As modern astrophysical surveys deliver an unprecedented amount of data, from the imaging of hundreds of millions of distant galaxies to the mapping of cosmic radiation fields...

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