Machine Learning

In web development our world changes quickly, but what can we pin down what 2021 will bring? By scrutinizing data from the 2020 developer surveys, I've highlighted what I think the big JavaScript…

In fact, the largest misconception about data engineering is that it is closely related to data science. The two disciplines are related, but in the same way goats are related to grass, not the way goats are related to sheep.

Introduction Teaching basic data science, machine learning, and statistics is great due to the questions. Students ask brilliant questions, as they see what holes are present in your presentation a…

Talent gap emerges as primary obstacle to AI adoption; making AI accessible to all is imperative to digital transformation efforts.

Let's use reinforcement learning agents to provide us with automated trading strategies based on the basis of historical data.

Thanks to machine learning, algorithms know us now as well as we know ourselves. Once artificial intelligence starts building a file on you and your habits, assessing data, then extrapolating outco…

There are many discussions around edge computing and its adoption scenarios. One of the key ingredients that could accelerate edge transformation is the ability to use an existing software stack for continuous deployment to the edge.

Using the insurance industry as a case study example, Ran Harpaz, CTO of insurance startup Hippo, describes the revolutionary change when general-purpose AI combines with purpose-built human-in-the-loop AI to completely rewrite the approach to risk management.

Many people may not be able to define what a minor mode is in music, but most would almost certainly recognize a piece played in a minor key. That's because we intuitively differentiate the set of notes belonging to the minor scale – which tend to sound dark, tense, or sad – from those in the major scale, which more often connote happiness, strength, or lightness. But throughout history, there have been periods…

🦉Data Version Control | Git for Data & Models. Contribute to iterative/dvc development by creating an account on GitHub.

How an uninformed market gambled on data science to help combat the rise of tech-enabled disruptors. Why it failed, and how it's finally paying off.

Demand for specialist software engineers and people with skills in AI have risen, according to professional network LinkedIn

Location-aware AI creates opportunities

New predictive recommendation engine transforms the way medical device companies are able to discover, assess, and manage change.

Virology Viral mutations that evade neutralizing antibodies, an occurrence known as viral escape, can occur and may impede the development of vaccines. To predict which mutations may lead to viral escape, Hie et al. used a machine learning technique for natural language processing with two components: grammar (or syntax) and meaning (or semantics) (see the Perspective by Kim and Przytycka). Three different…

Get ahead of the coding curve.

Generative and discriminative machine learning models employ different approaches to solve the problem of categorizing objects. As generative models generate new data instances, discriminative models distinguish between various kinds of data instances.

Israel's startup ecosystem raised record amounts of funding and produced 19 IPOs in 2020, despite the pandemic. Now tech companies across industries are poised for an even better year, according to more than a dozen investors we talked to in the country. Mainstay sectors like cybersecurity continue to matter, they said, but are maturing (more […]

Learn Python, Easy to learn, Awesome. Contribute to gautam1858/python-awesome development by creating an account on GitHub.

How state-of-the-art methods for interpreting neural networks have evolved over the past decade