This is a less popular type of machine learning algorithm, but in many ways, it is both the easiest to understand and the most powerful. Meta-learning is an algorithm that essentially learns how ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

The learning curve for implementing machine learning solutions is generally steep, so you’ll need a solid understanding of statistics, data science, and algorithm development.

Google’s machine learning-related algorithms. All the major search engines use machine learning in one or many ways. In fact, Microsoft is producing some significant breakthroughs.So are social ...

A machine learning tool in the hands of an asset manager that focuses on mining companies would highlight this as relevant data. The model in the machine learning tool would then use an analytics ...

Data Security. Malware is a huge — and growing — problem. In 2014, Kaspersky Lab said it had detected 325,000 new malware files every day.But, institutional intelligence company Deep Instinct ...

Instead, researchers can use the unlabeled data as a warm-up for the machine-learning algorithm. This warm-up, or pretraining , primes the algorithm to find a relationship between the bio-signal ...

The amount of data collected about health care in the United States is enormous 1 and continues to grow rapidly. Machine learning has become embedded in the health insurance industry for tasks ...