Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...

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Using AI to Predict Breast Cancer and Personalize Care

 By:  Adam Conner-Simons and Rachel Gordon, CSAIL Originally published in MIT News May 7, 2019 For today’s leading deep learning methods and technology, attend the conference and training workshops at Predictive Analytics World for Healthcare, June 16-19, 2019, and Deep Learning World, June 16-19, 2019, in Las Vegas.  MIT/MGH’s image-based deep learning model can predict

Advanced and Predictive Analytics (APA) Software Market to Witness Huge Growth by Key Players: SAS Institute, Microsoft, SAP, Tableau Software

 By: Raul Fowler Originally published in Market.News.Biz on April 4, 2019 HTF MI recently broadcasted a new study in its database that highlights the in-depth market analysis with future prospects of Advanced and Predictive Analytics market. The...

Scientists Outline the Promises and Pitfalls of Machine Learning in Medicine

 by Harvard Medical School Originally published in Medical Press, April 3, 2019 For today’s leading deep learning methods and technology, attend the conference and training workshops at Predictive Analytics World for Healthcare, June 16-19, 2019 in Las...

The FDA Wants To Regulate Machine Learning in Health Care

 By:  Karen Hao Originally published in MIT Technology Review, April 4, 2019 For today’s leading deep learning methods and technology, attend the conference and training workshops at Predictive Analytics World for Healthcare, June 16-19, 2019 in Las...

Looking Back at Google’s Research Efforts in 2018

 Originally published in Google AI Blog, January 15, 2019 By: Jeff Dean, Senior Fellow and Google AI Lead, on behalf of the entire Google Research Community For today’s leading deep learning methods and technology, attend the conference...

Deep-Learning Technique Reveals “Invisible” Objects in the Dark

  Originally published in MIT News, December 12, 2018. 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. Method could illuminate features...

Why “Many-Model Thinkers” Make Better Decisions

  Originally published in Harvard Business Review, November 19, 2018. Organizations are awash in data — from geocoded transactional data to real-time website traffic to semantic quantifications of corporate annual reports. All these data and data sources...

5 Predictive Analytics Applications Positioned to Grow in 2019

 Originally published in TechRepublic, December 11, 2018 By 2022, research firm MarketsandMarkets projects that the predictive analytics market will be worth 12.41 Billion USD, which makes sense considering that companies from every industry sector drive this market....

The Cold Start Problem: How to Build Your Machine Learning Portfolio

 Originally published in KDNuggets, January, 2019 I’m a physicist who works at a YC startup. Our job is to help new grads get hired into their first machine learning jobs. Some time ago, I wrote about the things you should...

Common Mistakes When Carrying Out Machine Learning and Data Science

 Originally published in KDnuggets, December 2018 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. This is part two of this series,...

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