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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

KDnuggets

Spotify Million Playlist Released for RecSys 2018, this dataset helps analyze short-term and sequential listening behavior. By, Avi Chawla - highly passionate about approaching and explaining data science problems with intuition. Yelp Open Dataset Contains 8.6M reviews, but coverage is sparse and city-specific.

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Highlights from the Strata Data Conference in New York 2018

O'Reilly on Data

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. People from across the data world are coming together in New York for the Strata Data Conference. The future of data warehousing. Watch " Managing risk in machine learning.".

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How companies are building sustainable AI and ML initiatives

O'Reilly on Data

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. We found companies were planning to use deep learning over the next 12-18 months.

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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. In 2019, as in 2018, Python was the most popular language on O’Reilly online learning. Security is surging.

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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

Deep Learning. Temporal data and time-series. Automation in data science and big data. At the 2018 Strata Data London, data privacy and GDPR were big topics. In fact, our 2018 conference happened the same week GDPR came online. Text and Language processing and analysis.