Federated machine learning, which is based on edge-distributed ML, is quickly becoming popular today. An average data scientist can easily identify how a simple model like a decision tree is ...

Researchers at IBM Quantum recently showed that simple and more accessible machine learning (ML) techniques could be used for QEM. Their paper, published in Nature Machine Intelligence ...

Applications Big Data and Analytics IT Management Why Machine Learning Projects Fail – and How to Make Sure They Don’t The first step to a successful ML project is to understand that these ...

10 ways machine learning projects fail AI hallucinations Model bias Legal and ethical risks Poor data quality Model overfitting and underfitting Legacy system integration issues Performance and ...

The machine-learning industry has shown interest in chip-based neuromorphic computing as well, with a San Francisco–based startup called Rain Neuromorphics raising $25 million in February.

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 ...