5 More Machine Learning Projects You Can No Longer Overlook
There are a lot of popular machine learning projects out there, but many more that are not. Which of these are actively developed and worth checking out? Here is an offering of 5 such projects.
on Jun 28, 2016 in Computer Vision, Data Preparation, Data Preprocessing, Javascript, Machine Learning, Natural Language Processing, NLP, Overlook, Python
BigDebug: Debugging Primitives for Interactive Big Data Processing in Spark
An overview of a recent paper outlining BigDebug, which provides real-time interactive debugging support for Data-Intensive Scalable Computing (DISC) systems, or more particularly, Apache Spark.
on Jun 27, 2016 in Apache Spark, Big Data, Data Science
Top Machine Learning Libraries for Javascript
Javascript may not be the conventional choice for machine learning, but there is no reason it cannot be used for such tasks. Here are the top libraries to facilitate machine learning in Javascript.
on Jun 24, 2016 in Andrej Karpathy, Convolutional Neural Networks, Deep Learning, Javascript, Machine Learning, Neural Networks
Achieving End-to-end Security for Apache Spark with Databricks
The Databricks just-in-time data platform takes a holistic approach to solving the enterprise security challenge by building all the facets of security — encryption, identity management, role-based access control, data governance, and compliance standards — natively into the data platform with DBES.
on Jun 23, 2016 in Apache Spark, Databricks, Security
Predicting purchases at retail stores using HPE Vertica and Dataiku DSS
The retail industry has been data centric for a while. With the rise of loyalty programs and digital touch points, retailers have been able to collect more and more data about their customers over time, opening up the ability to create better personalized marketing offers and promotions.
on Jun 23, 2016 in Dataiku, HPE, Retail, Vertica
Standards-based Deployment of Predictive Analytics
Using a standards-based approach to deploy predictive analytics on operational systems from mainframes to Hadoop.
on Jun 21, 2016 in Deployment, James Taylor, Predictive Analytics, Standards, White Paper, Zementis
10 Useful Python Data Visualization Libraries for Any Discipline
A great overview of 10 useful Python data visualization tools. It covers some of the big ones, like matplotlib and Seaborn, but also explores some more obscure libraries, like Gleam, Leather, and missingno.
on Jun 14, 2016 in Bokeh, Data Visualization, Matplotlib, Plotly, Python
Project Murphy Microsoft Bot Framework AI
With Microsoft AI-based Bot Framework you can add the bot on Skype, Messenger, Telegram, ... and ask it questions like: "What if Charlie Chaplin was a baby?" or "What if Beethoven was a rockstar!" The results are always fun.
on Jun 10, 2016 in AI, Bots, Microsoft
Infinite Data Overlap Detection Arrives to Speed Business Insights
Infinite Data Overlap Detection(IDOD) is a new, Spark-based technology that empowers non-technical business users to automatically discover data patterns and blendany data type for any set of values from multiple sources – both inside and outside the enterprise.
on Jun 8, 2016 in Apache Spark, ClearStory Data, Data Cleaning, Data Preparation
Open Data Science in Collaborative Workflows – IBM June 6 event
On June 6, IBM will share important announcements for making R, Spark, and open data science a sustainable business reality at the Apache Spark Maker Community Event in San Francisco, Attend in person or watch live.
on Jun 3, 2016 in Apache Spark, Collaborative, Data Science, IBM, R
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