Dataconomy
JUNE 14, 2017
Big data sets are so complex and large that common data processing tools and technologies cannot cope with them. The process of inspection of such data and uncovering patterns is called big data analytics. The basic question which arises in our mind is, “In what way is the drug discovery. The post Big Data Is Revolutionizing The Way We Develop Life-Saving Medicine appeared first on Dataconomy.
Eugene Yan
JUNE 25, 2017
Tools and skills to pick up and how to practice them. An Invited Talk with Masters in IT candidates.
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Christian Haschek
JUNE 9, 2017
When I first thought about implementing payment via a crypto currency I looked at the available so
Dataconomy
JUNE 23, 2017
This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Miroslav Batchkarov and other experts will be giving talks. The post How Faulty Data Breaks Your Machine Learning Process appeared first on Dataconomy.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Dataconomy
JUNE 28, 2017
As happens when boundless potential meets hard reality, enterprises now face a long, painful slog through the trenches of disillusionment and disappointment as they pursue the business transformation promised by Machine Learning for the Enterprise. The machine learning hype cycle is in overdrive, inflating expectations for magically easy and automated solutions to complex business problems decades.
Dataconomy
JUNE 5, 2017
Fintech is becoming an increasingly competitive market. A KPMG analysis saw investments decline in 2016 and investors are now more cautious about betting on segments that are becoming saturated. Lending and payments are two segments that saw increased participation over the past two years. Competitors come in all forms. We. The post 3 ways BI is changing the game for fintech appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
JUNE 26, 2017
A long time ago, in January 2006, Business Week published an article entitled ‘Math Will Rock Your World” declaring, “There has never been a better time to be a mathematician.” The fact is that although this article is almost 15 years old, the article reinforces a consistently valid case for. The post How Math and Physics Majors Can Build Artificial Intelligence Careers appeared first on Dataconomy.
Dataconomy
JUNE 16, 2017
Whilst most businesses don’t earn revenue by processing data, they do spend a large amount of their hard earned revenue in manually processing data, validating it and ultimately performing manual tasks that don’t scale. But at what point does this manual involvement become a burden of cost upon your business? The post Preventing Fraud and Saving Costs with Machine Learning appeared first on Dataconomy.
Dataconomy
JUNE 8, 2017
There is no excerpt because this is a protected post. The post Protected: Deduplicating Massive Datasets with Locality Sensitive Hashing appeared first on Dataconomy.
Dataconomy
JUNE 21, 2017
Anyone who has ever had their bag go AWOL while travelling knows that sinking feeling that comes with being told that your luggage is lost. Sadly, lost luggage is one of the perils of modern travel, and one that seems to happen on an all-too-often basis. Fortunately, just as technology. The post How Data & IoT Technology are Changing The Way We Travel appeared first on Dataconomy.
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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.
Dataconomy
JUNE 2, 2017
Springboard is a leader in data science education. Thousands of data science learners complete their education in Springboard’s mentored data science courses and they’ve given Springboard courses an average rating of 4.9/5 on CourseReport and Switchup. Springboard is the proven option in data science training you’ve been looking for if.
Dataconomy
JUNE 12, 2017
The amount of data that businesses create continues to grow; at the same time, more of it is slipping out of our central data centres and into a mix of Cloud applications, mobile endpoints and remote or branch office file servers. But how can companies keep track of all this. The post The Data Ecosystem: Taking a Cloud-First approach to IT appeared first on Dataconomy.
Dataconomy
JUNE 2, 2017
Rapidly changing data management technology in the 21st Century has created cost-saving, business-expanding opportunities. Big companies around the world have realized the potential of modern technology to take over complex operations with more ease than a skilled worker could. There are debates about how it is pushing some traditional methods. The post Big Data in Real Estate: Staying Ahead of the Curve appeared first on Dataconomy.
Dataconomy
JUNE 7, 2017
This is the continuation of the Frequency Distribution Analysis using Python Data Stack – Part 1 article. Here we’ll be analyzing real production business surveys for your review. Application Configuration File The configuration (config) file config.py is shown in Code Listing 3. This config file includes the general settings for. The post Frequency Distribution Analysis using Python Data Stack – Part 2 appeared first on Dataconomy.
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.
Dataconomy
JUNE 9, 2017
Sónar+D, the congress dedicated to creative technologies which will take place in Barcelona on June 14, 15, 16 and 17, announces today the program for its 2017 edition. The congress will bring together more than 100 activities, 180 speakers and around 5,000 accredited professionals from 2,100 companies and 60 countries. The post Sónar+D will bring to Barcelona the latest advances in Artificial Intelligence and Virtual Reality applied to the arts from Google’s research & development teams. a
Eugene Yan
JUNE 24, 2017
Tools and skills to pick up, and how to practice them.
Christian Haschek
JUNE 22, 2017
Since I got asked the question about safe storage of ETH a lot I thought I'd make a tutorial f
Dataconomy
JUNE 30, 2017
Data breaches are in the news all the time. It seems like you can’t go anywhere and swipe your credit card these days without receiving word your information may have been stolen. In typical data breaches where credit card info is stolen customers have a fair amount of protection through. The post How To Stop Data Breaches From Ruining Your Business appeared first on Dataconomy.
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.
Dataconomy
JUNE 19, 2017
Deep learning is a subfield of machine learning and it comprises several approaches to tackling the single most important goal of AI research: allowing computers to model our world well enough to exhibit something like what we humans call intelligence. On a basic conceptual level, deep learning approaches share a. The post How Deep Learning is Personalizing the Internet appeared first on Dataconomy.
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