Analytics Vidhya
SEPTEMBER 25, 2019
Do we need to change the way we learn? Before you read any further, here is a sneak peak of our new experiential learning. The post Introducing “PocketML” – an Experiential Learning Platform for Data Science appeared first on Analytics Vidhya.
datapine
SEPTEMBER 25, 2019
In the Age of Information, data equals power. By harnessing the power of your business’s most valuable digital insights, you will enhance decision-making, improve internal communication, and accelerate your success. But with so much information and such little time in the day, how do you get the most from your data? Data is most effective when it’s visual, easy to analyze, and accessible to everyone in the organization.
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KDnuggets
SEPTEMBER 25, 2019
As a data scientist, you can get lost in your daily dives into the data. Consider this advice to be certain to follow in your work for being diligent and more impactful for your organization.
Smart Data Collective
SEPTEMBER 25, 2019
Data breaches are becoming more common in today’s society. Hackers know they can sell compromised information on the dark web or use it for purposes such as blackmail. However, encryption technology for data protection is widely available. It involves protecting information with cryptography via a scrambled code. Only people with the key to decode the data can read it.
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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
SEPTEMBER 25, 2019
Today, as companies have finally come to understand the value that data science can bring, more and more emphasis is being placed on the implementation of data science in production systems. And as these implementations have required models that can perform on larger and larger datasets in real-time, an awful lot of data science problems have become engineering problems.
IBM Big Data Hub
SEPTEMBER 25, 2019
AutoAI, a powerful automated AI development capability in IBM Watson Studio, won the Best Innovation in Intelligent Automation Award, chosen by a panel of 13 independent judges yesterday for the AIconics AI Summit in San Francisco.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
MLWhiz
SEPTEMBER 25, 2019
Creating a great machine learning system is an art. There are a lot of things to consider while building a great machine learning system. But often it happens that we as data scientists only worry about certain parts of the project. Most of the time that happens to be modeling, but in reality, the success or failure of a Machine Learning project depends on a lot of other factors.
KDnuggets
SEPTEMBER 25, 2019
Penn State’s fully online data analytics program uniquely prepares students to advance their career in data science. Penn State offers 3 intakes every year and reviews applications on a rolling basis. GMAT or GRE waivers are available to highly qualified candidates. Learn more now.
Mark Raskino
SEPTEMBER 25, 2019
“The signals are everywhere” a corporate financial specialist said to me recently. Many people are concerned that a global economic downturn is on its way, or perhaps already in its early stages. Whenever we face such uncertainty, we tend to look back at history to see if there’s a pattern we can use to help navigate. Most of us reach first into our own personal experiences.
Timo Elliott
SEPTEMBER 25, 2019
On Monday, I presented a keynote for the Digital Transformation track of the Elevate Tech Fest in Toronto, coving the top digital trends, illustrated with real-world examples. The presentation and video are below: ?. [Apologies for the sound quality of the video].
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.
KDnuggets
SEPTEMBER 25, 2019
Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic machine learning; I wasn't getting hired as a Data Scientist. So I sought data on who is; Which Data Science Skills are core and which are hot/emerging ones?
Andrew White
SEPTEMBER 25, 2019
In a much watched and contested case, EU regulators side with those who see privacy and the ‘right to be forgotten’ as a local, country or regional consideration. On Tuesday, the European Court of Justice decided that firms like Google don’t have to apply the EU’s ‘right to be forgotten’ to versions of its search engine accessed outside the EU. [link].
KDnuggets
SEPTEMBER 25, 2019
Learn about unexpected risk of AI applied to Big Data; Study 5 Sampling Algorithms every Data Scientist needs to know; Read how one data scientist copes with his boring days of deploying machine learning; 5 beginner-friendly steps to learn ML with Python; and more.
O'Reilly on Data
SEPTEMBER 25, 2019
Experts explore new trends, tools, and techniques in data and machine learning. See highlights from the Strata Data Conference in New York 2019 here. Continue reading Highlights from the Strata Data Conference in New York 2019.
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.
Nutanix
SEPTEMBER 25, 2019
Technology, business processes, new government mandates, industry consolidation, and strong consumerism-driven healthcare are just a few of the key underlying forces that continue to fuel the much needed changes in the healthcare space.
DataRobot
SEPTEMBER 25, 2019
Recently, more than 200 delegates joined a DataRobot team of local and international staff in Sydney, Australia for the AI Experience Roadshow. As the GM for Asia Pacific, I kicked off the event by stating that the AI and machine learning revolution is transforming global and local economies, markets, and companies. As a disruptive technology, AI and machine learning can be difficult, though worthwhile.
Nutanix
SEPTEMBER 25, 2019
Some recent reports provide insights into plans to move to S/4HANA and the major considerations that are showing up.
Dataiku
SEPTEMBER 25, 2019
Starting the path to AI can seem daunting for any business, and banking is no exception. But today's banks that have found success are able to start small and work their way up.
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.
Smart Data Collective
SEPTEMBER 25, 2019
Scalability is a crucial factor that is talked about even before an application has been created. Yet, even after the application is deployed, the application will be required to be updated frequently to scale based on the application load. While scalability has been one of the concerns even in the blockchain space, it wasn’t the first priority when the technology was first proposed.
Nutanix
SEPTEMBER 25, 2019
Technology, business processes, new government mandates, industry consolidation, and strong consumerism-driven healthcare are just a few of the key underlying forces that continue to fuel the much needed changes in the healthcare space.
Smart Data Collective
SEPTEMBER 25, 2019
Big data has been billed as being the future of business for quite some time. However, the future is now. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The market for Hadoop jobs increased 58% in that timeframe. The impact of big data is felt across all sectors of the economy. It provides very lucrative employment opportunities to talented workers.
Nutanix
SEPTEMBER 25, 2019
Microsoft SQL Server, Oracle, SAP HANA, PostgreSQL, MySQL are essential components for success but too many are still running on legacy IT infrastructure.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Domino Data Lab
SEPTEMBER 25, 2019
This article delves into methods for analyzing multivariate and univariate time series data. A complementary Domino project is available. Introduction. Conducting exploratory analysis and extracting meaningful insights from data are core components of research and data science work. Time series data is commonly encountered. We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system.
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