Analytics Vidhya
JULY 10, 2019
Overview Presenting 21 open source tools for Machine Learning you might not have come across Each open-source tool here adds a different aspect to. The post 21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!) appeared first on Analytics Vidhya.
Domino Data Lab
JULY 10, 2019
Joshua Poduska provides a distilled overview of Ludwig including when to use Ludwig’s command-line syntax and when to use its Python API. Introduction. New tools are constantly being added to the deep learning ecosystem. It can be fun and informative to look for trends in the type of tools being created. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow d
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Cloudera
JULY 10, 2019
Open source has been core to the missions of both Hortonworks and Cloudera and central to our values and culture. With more than 700 engineers in the new Cloudera, our company writes a prodigious amount of open source code each year that’s contributed to more than 30 different open source projects. We’re also a very innovative open source company, having collectively launched more than a dozen new open source projects since the founding of the two companies. .
DataRobot
JULY 10, 2019
As machine learning and artificial intelligence (AI) usher in the Fourth Industrial Revolution, it seems like everyone wants to get in on the action. And who can blame them? AI promises improved accuracy, speed, scalability, personalization, consistency, and clarity in every area of business. With all those benefits, why are some businesses hesitating to move forward?
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Dataiku
JULY 10, 2019
Insurance fraud is a major issue that drives up healthcare costs for insurers, providers, taxpayers, and patients. The risk of unnecessary or nonexistent medical services due to misrepresentations by patients or providers is a costly one; in the U.S. the National Healthcare Anti-Fraud Association estimates that payers spend up to $68 billion a year due to fraud.
IBM Big Data Hub
JULY 10, 2019
Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Tennis during the Wimbledon Championships fortnight occurs on 18 courts with over 147,000 points contested. In many cases, fans watch one match at a time and catch up on the rest of the tournament by viewing preselected highlights that are generally about popular players.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
IBM Big Data Hub
JULY 10, 2019
Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Tennis during the Wimbledon Championships fortnight occurs on 18 courts with over 147,000 points contested. In many cases, fans watch one match at a time and catch up on the rest of the tournament by viewing preselected highlights that are generally about popular players.
Sisense
JULY 10, 2019
Blog. A couple of weeks ago, we officially launched the Cloud-Native Sisense on Linux deployment after a successful beta release cycle that kick-started in Spring 2019. As of 2017, Linux was running 90% of the public cloud workload. It is increasingly the OS of choice by enterprises and the cloud due to its many advantages: lower TCO, higher security, improved stability and reliability, flexibility, and more.
Jet Global
JULY 10, 2019
One of the most common questions asked during Jet training and support calls is, “how can I be sure that my reports are running at optimal speed?” While there isn’t a “one size fits all” approach to maximizing report performance, there are some great tips and essential rules to follow when building a report that will improve how fast it can run.
Smart Data Collective
JULY 10, 2019
Big data is changing the nature of healthcare. One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future. More than 15,000 hospitals around the world collect real-time data on their patients.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
ScienceSoft
JULY 10, 2019
We share information useful for companies contemplating BI implementation: required investments and expected payback period, main advantages and typical problems, contractual and collaboration tips.
CDW Research Hub
JULY 10, 2019
A tech startup needed help building a scalable data platform that leverages driver data and predictive analytics. They tapped the Sirius Managed Services’ Advanced Applications Group (AAG) to design and implement a production-grade platform that employs telematics on the Amazon Web Services (AWS) cloud. The platform Sirius built leverages IoT sensors to ingest 250,000 transactions per second and run analytics to create real-time driver scores and other analytics.
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