One of the big challenges of developing a machine learning project can be simply getting enough relevant data to train the algorithms. That’s where Superb AI, a member of the Y Combinator Winter 2019 ...

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.

All machine learning models are bound by a critical factor: The quality of the data on which the model is trained. The challenge of data curation to improve the quality of machine learning and AI ...

It turns out there’s a fatal flaw in most companies’ approach to machine learning, the analytical tool of the future: 87% of projects do not get past the experiment phase and so never make it into ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

WALTHAM, Mass.--(BUSINESS WIRE)--Trinity Life Sciences, a leader in global life sciences solutions, is sharing findings from its latest TGaS Landscape report entitled, “Perspectives on Use of ...

Apple machine learning projects span almost every aspect of the company’s activities, but in a new speech at an AI conference, a senior exec spoke specifically about the benefits for accessibility and ...