Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...

Industry News

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 learn. While humans are just beginning to comprehend the dynamic capabilities of machine learning, the concept has been

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...

What Happened to Hadoop? And Where Do We Go from Here?

 Originally published by InsideBigData, September 4, 2019. Apache Hadoop emerged on the IT scene in 2006 with the promise to provide organizations with the capability to store an unprecedented volume of data using cheap, commodity hardware. In...

The Death of Big Data and the Emergence of the Multi-Cloud Era

 Originally published in KDnuggets, July, 2019 The Era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business...

12 Things I Learned During My First Year as a Machine Learning Engineer

 Originally published in Towards Data Science, July 6, 2019 Being your own biggest sceptic, the value in trying things which might not work and why communication problems are harder than technical problems. Machine learning and data science...

From Foodie Pic to Your Plate: Generating Recipes With Facebook AI

  Originally published in Synced, June 20, 2019 Imagine snapping a pic of your tasty restaurant entree or the magnificent lasagna in a foodie post, and up pops a recipe for said dish. Facebook AI has now...

How Pattern Recognition and Machine Learning Helps Public Safety Departments

 Originally published in StateTechMagazine, May, 2019 For today’s leading deep learning methods and technology, attend the conference and training workshops at Data Driven Government (formerly PAW Government), September 25, 2019, in Washington, DC.  The NYPD is leading...

19 Inspiring Women in AI, Big Data, Data Science, Machine Learning

 Originally published in KDnuggets, March 2019. For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, June 16-20, 2019.   In honor of International Women’s Day on March 8,...

How Federated Learning Could Shape the Future of AI in a Privacy-Obsessed World

 Originally published in VentureBeat, June 3, 2019 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World, June 16-19, 2019 in Las Vegas.  You may not have noticed, but...

The Legal and Ethical Implications of Using AI in Hiring

 Originally published in Harvard Business Review, April 25, 2019 Digital innovations and advances in AI have produced a range of novel talent identification and assessment tools. Many of these technologies promise to help organizations improve their ability...

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