Machine Learning Times
Machine Learning Times
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Sampling For Your Analysis
 So you have a mailing campaign you are about...
Accuracy Fallacy: The Media’s Coverage of AI Is Bogus
  A shorter version of this article was originally...
Machine Learning and Artificial Intelligence: Not New Concepts for the Data Science Practitioner
 Economic disruption is a reality which has been a...
Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel
  Dr. Eric Siegel cuts through the buzzwords surrounding...

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5 Statistical Traps Data Scientists Should Avoid

 Originally published in KDnuggets, October 2019. Fallacies are what we call the results of faulty reasoning. Statistical fallacies, a form of misuse of statistics, is poor statistical reasoning; you may have started off with sound data, but your use or interpretation of it, regardless of your possible purity of intent, has gone awry. Therefore, whatever

Why Machine Learning at the Edge?

 Originally published in SAP Blogs, October 16, 2019. For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, May 31-June 4, 2020.   Machine learning algorithms, especially deep learning...

Machine Learning & SEO: Where Are We Now?

 Originally published in DigitalDoughnut, October 25, 2019 For many in the SEO world, the idea of machine learning influencing the industry is making substantial waves. The technology inevitably promises to alter the way in which business is...

How to Leverage Predictive Analytics for Employee Retention

 Originally published in TechRepublic, November 7, 2019. Competition for skilled tech workers is fierce, so a new program actually predicts when an employee is considering resignation, and how you can implement retention. Crystal balls, fortune cookies and...

How Machine Learning Pushes Us to Define Fairness

 Originally published in Harvard Business Review, November 6, 2019. Bias is machine learning’s original sin. It’s embedded in machine learning’s essence: the system learns from data, and thus is prone to picking up the human biases that...

A.I. Is Learning From Humans. Many Humans.

 Originally published in The New York Times, August 16, 2019. BHUBANESWAR, India — Namita Pradhan sat at a desk in downtown Bhubaneswar, India, about 40 miles from the Bay of Bengal, staring at a video recorded in...

Data Lakes: The Future of Data Warehousing?

 Originally published in InsideBigData, August 2, 2019. The term Big Data has been around since 2005, but what does it actually mean? Exactly how big is big? We are creating data every second. It’s generated across all...

10 Great Python Resources for Aspiring Data Scientists

  Originally published in KDNuggets, September 10, 2019 Python is one of the most widely used languages in data science, and an incredibly popular general programming language on its own. Many prospective data scientists are first faced...

Machine Learning You Can Dance To

  Originally published in MIT News, September 18, 2019. Rhythmic flashes from a computer screen illuminate a dark room as sounds fill the air. The snare drum sample comes out crisp and clean by itself, but turns...

Top 10 Data Science Use Cases in Energy and Utilities

 Originally published in KDNuggets, September, 2019. The energy sector is under constant development, and more of significant inventions and innovations are yet to come. The energy use has always been involved in other industries like agriculture, manufacturing,...

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