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6 trends framing the state of AI and ML

O'Reilly on Data

Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. Growth in ML and AI is unabated.

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New Format for The Bar Chart Reference Page

The Data Visualisation Catalogue

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. User Modeling and User-Adapted Interaction , 16(1), 1–30. Journal of Experimental Psychology: Applied, 4 (2), 119–138. Koh, E., & Franconeri, S. Neighborhood Perception in Bar Charts. Qu, H., & Sedlmair, M. Skau, D., & Kosara, R.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

It is also important to have a strong test and learn culture to encourage rapid experimentation. Newer methods can work with large amounts of data and are able to unearth latent interactions. One approach is to use NLP techniques to analyze actual call center interactions with customers. What differentiates Fractal Analytics?

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Some of those hurdles are overcome via dashboards, but they sit in a system several layers removed from anything that many people normally interact with. To achieve this, he says, companies should find ways to lower the cost of experimentation, decrease the time to value, and scale successful experimentation into products quickly.

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How Do Super Rookies Start Learning Data Analysis?

FineReport

If you want to learn more about self-service BI tools, you can take a look at this review: 5 Most Popular Business Intelligence (BI) Tools in 2019 , to understand your own needs and then choose the tool that is right for you. Of course, other BI tools such as Power BI and Qlikview also have their own advantages. From Google.

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Sentry’s David Cramer on bootstrapping a unicorn

CIO Business Intelligence

David Cramer: I love the open source community so I would build a lot of things in open source to interact with my peers. You pointed to frontend as a key area in 2019. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here.

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