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Human in the loop: Machine learning and AI for the people
HITL is a mix and match approach that may help make ML both more efficient and approachable. Paco Nathan is…
AI / Machine Learning
Alibaba: Building a retail ecosystem on data science, machine learning, and cloud
What does it take to compete in a global arena in which retail and cloud…
Automating automation: a framework for developing and marketing deep learning models
Are you sold on the benefits of adding automation to your stack, but put off…
Spark gets automation: Analyzing code and tuning clusters in production
Spark is the hottest big data tool around, and most Hadoop users are moving towards…
Artificial intelligence on Hadoop: Does it make sense?
MapR just announced QSS, a new offering that enables the training of complex deep learning…
Caffe2: Deep learning with flexibility and scalability
As the AI landscape continues to evolve, a new version of the popular Caffe open…
Language agnostic document processing: Finding relations using statistics, machine learning, and graphs
Would you like to be able to find related work regardless of domain or language,…
Data / Analytics / Data Science
Big data, crystal balls, and looking glasses: Reviewing 2017, predicting 2018
It’s this time of year again, when crystal balls meet data. Here’s what’s kept the…
Welcome to the data-driven machine: Digital transformation in the construction industry
IoT is an enabler for unabridged data collection, which in turn enables new applications and…
Going data-driven on a budget
How can you think and do data analysis globally, aiming to act and have an…
Real-time applications are going places
Data streaming is the paradigm behind applications that can process data and act upon insights…
Elasticsearch 6.0: not that new, but quite improved
Elasticsearch is an open source platform that is about a lot more than just search.…