Machine Learning Times
EXCLUSIVE HIGHLIGHTS
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...

Author Archive

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 a hospital on the other side of the world. The video showed the inside of someone’s colon. Ms.

Machine Learning and Artificial Intelligence: Not New Concepts for the Data Science Practitioner

 Economic disruption is a reality which has been a gradual development over the last several decades. Artificial intelligence (AI) has simply accelerated this process.  Virtually every industry has been impacted by AI and certainly data science is...

Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel

  Dr. Eric Siegel cuts through the buzzwords surrounding predictive analytics to reveal what it is, how it works, and how it is driving major improvements in business—including in demand forecasting. He discusses the persuasion paradox, reveals...

Investment Modeling Grounded In Data Science

 For more from Dr. Elder, join Predictive Analytics World Las Vegas, May 31-June 4, 2020.   Elder Research has solved many challenging and previously unsolved technical problems in a wide variety of fields for Government, Commercial and...

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,...

Machine Learning in Auditing – Current and Future Applications

  Originally published in The CPA Journal, June, 2019. Machine learning is a key subset of artificial intelligence (AI), which originated with the idea that machines could be taught to learn in ways similar to how humans...

An Easy Introduction to Machine Learning Recommender Systems

  Originally published in KDNuggets, September, 2019. Recommender systems are an important class of machine learning algorithms that offer “relevant” suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches...

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