Analytics Vidhya
AUGUST 6, 2019
Overview Real-time object detection is taking the computer vision industry by storm Here’s a step-by-step introduction to SlimYOLOv3, the latest real-time object detection framework. The post A Friendly Introduction to Real-Time Object Detection using the Powerful SlimYOLOv3 Framework appeared first on Analytics Vidhya.
Corinium
AUGUST 6, 2019
The Fourth Industrial Revolution is, ostensibly, upon us. The term was coined in 2016 by Klaus Schwab, the founder and executive chairman of the World Economic Form.
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KDnuggets
AUGUST 6, 2019
In this story, we’re going to take an aerial tour of optimization with Lagrange multipliers. When do we need them? Whenever we have an optimization problem with constraints.
MLWhiz
AUGUST 6, 2019
Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis, so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series. How many times it has happened when you create a lot of features and then you need to come up with ways to reduce the number of features.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
KDnuggets
AUGUST 6, 2019
Feature selection is one of the most important tasks in machine learning. Learn how to use a simple random search in Python to get good results in less time.
TDAN
AUGUST 6, 2019
Deep learning, as defined by MathWorks, is a system of artificial intelligence that is built around learning by example. Multiple industries have already understood the benefits that deep learning brings to their operational capabilities. Deep learning is best demonstrated by the implementation of the technology in self-driving cars, as well as medical research to detect […].
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
AUGUST 6, 2019
IBM continues to increase support for open source technologies. Today, we are pleased to announce that Cloud Pak for Data System now features a new capability for Postgres workloads—the IBM Performance Server for PostgreSQL.
Decision Management Solutions
AUGUST 6, 2019
I’m in Asia for two weeks. Last week I had the privilege of catching up with marketing and operations leaders at a major local insurer. We built both a next best offer (NBO) solution and a claims handling solution for them. Both teams are self-sufficient, with multiple business people making changes to the decisioning system. Both teams are also continuing to improve their results.
TDAN
AUGUST 6, 2019
Consider that in 2019, one Internet minute is equivalent to 300,000 Instagram scrolls, 1 million Facebook logins, $1 million spent online, over 40 million messages sent, and almost 4 million Google searches. Not using a tool to measure what is happening to your brand in this environment can be ignorant. Marketers can use every piece […].
Jedox
AUGUST 6, 2019
The CFO has made FP&A a top priority as previously described , wanting significantly more value from the investments made in this function. To achieve this, FP&A must also do things differently otherwise we cannot expect different outcomes. To do something differently, new skills are needed. You could say we need to revolutionize the FP&A professional.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Paul Turley
AUGUST 6, 2019
I was just working on a client project where we have several complex measures that reference other measures. Sometimes it can be hard to keep all these dependencies in mind. As a feature, it would be great for Power BI Desktop to show these dependencies and navigate between them.
KDnuggets
AUGUST 6, 2019
Waste Management is seeking a Data Scientist in Houston, TX, to support their digital marketing, customer and other business segment teams with insights gained from analyzing customer data.
TDAN
AUGUST 6, 2019
In the wake of online security threats, more and more companies are turning to cloud computing in search of better protection. According to Forbes, 83% of enterprise workloads will be in the cloud by 2020. However, it isn’t only big companies and enterprises that are the subjects of cybersecurity breaches. Recently, startups all over the […].
Nutanix
AUGUST 6, 2019
Automation allows for you to quickly assess and mitigate vulnerabilities in real-time. The best tools also provide remediation functions to resolve issues.
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.
TDAN
AUGUST 6, 2019
Often, we continuously struggle to identify the right tool for the right requirement, especially after mastering graph database terminology and being exposed to many different graph database tools. This series of columns will focus on many things including the nature of a graph database, how we evolved to a graph database, how a graph database […].
Teradata
AUGUST 6, 2019
Digital transformation & regulatory requirements have long challenged Banks. Teradata has deep experience in ushering them through the transformation process.
TDAN
AUGUST 6, 2019
How to Act Wisely in Difficult Circumstances that We Often Face Our job in data management can certainly be challenging. And an infinite number of situations could arise from any task in any context. In this column, the capability to eloquently, effortlessly, and wisely handle whatever may arise, is what we are calling ‘situational fluency.’ […].
TDAN
AUGUST 6, 2019
All businesses, no matter the industry or focus, are completely inundated by data. After all, we live in a very competitive world and data can help everyone improve their business performance. One could also argue that with this abundance of data, there is also a rise of new technologies, frameworks, and methodologies which can help […].
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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