Dataconomy
MARCH 13, 2018
Anyone with a Netflix subscription understands the process of finding a movie or TV show to watch. You go to the website and see the shows that you recently watched, some shows that are recommended and maybe a few show ratings. Each Netflix user has his or her unique set of options. The post INFOGRAPHIC: How Netflix Uses Big Data to Drive Success appeared first on Dataconomy.
Depends on the Definition
MARCH 15, 2018
Word vectors Today, I tell you what word vectors are, how you create them in python and finally how you can use them with neural networks in keras. For a long time, NLP methods use a vectorspace model to represent words.
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Shreyansh Singh
MARCH 23, 2018
These are the writeups to the problems I solved during the AngstromCTF. MISC 1. Waldo1 We are given a zip file — flags.zip containing flags of countries. The file flag5.png, we see on opening has the flag. Flag-Waldo1 2. Waldo2 In this problem, we are given multiple flag images in a folder. Judging by the problem, it seems that one image is different.
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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
MARCH 4, 2018
Information and business data are among the most valuable assets of any company. Entrepreneurs are increasingly cognizant of the importance of this data for their success in the current market economy. Knowing this, we need to understand how to protect this information. Big data analytics professionals are making use of. The post How Big Data Analytics Is Boosting Cybersecurity appeared first on Dataconomy.
Dataconomy
MARCH 23, 2018
Blockchain and cryptocurrencies have come to be viewed as great equalizers. Cryptocurrencies do away with the institutionalized financial power structures currently in place, and instead focus on providing access to services for a larger population without any barriers to entry. Similarly, companies use blockchain to create applications that bypass existing.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
MARCH 22, 2018
A wealth of information, an ocean of data – and more funny cat videos than you could watch in a lifetime. The internet is all that and more, at the service of humanity that seeks to know more, do more and be more than ever before. Much of that data. The post Mind Your Internet Manners: When, Where and How to Crawl for Data appeared first on Dataconomy.
Dataconomy
MARCH 21, 2018
More than 80% of the world’s data is unstructured. Investors in the financial industry are now having to confront the challenge of managing a large volume of data in this unstructured format, assembling in-house data scientists, engineers and IT staff who can transform it into insights. As you might imagine, this. The post 10 Tips for Avoiding an Alternative Data Hangover appeared first on Dataconomy.
Dataconomy
MARCH 15, 2018
As companies digitize and data occupies a more central place in our lives, corporations are struggling to find enough talented people to meet the business challenges they face. This has created exceptional opportunities for individuals who are up for tackling those challenges. Ross Taylor of ALPIMA started his career as an economist. The post Getting Your Feet Muddy with Data Science: A Conversation with Ross Taylor appeared first on Dataconomy.
Dataconomy
MARCH 4, 2018
2018 has brought a new focus to the careers, excellence and issues of working women, and this extends into the fields of tech and data science. As we approach the Women in Data Science (WiDS) conference on March 5, 2018, it is important to take a moment and reflect on. The post Women in Data Science: “We built a conference to become a movement” 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
MARCH 9, 2018
The big data industry isn’t known to soak up the spotlight, nor does it take up much room in the headlines, yet it is by far one of the most influential forces in business today. From the local brick-and-mortar stores to towering multinational conglomerates, the data that this sizeable slice of the IT. The post Reimagining Analytics and Engagement with Blockchain appeared first on Dataconomy.
Dataconomy
MARCH 2, 2018
Hoover, Tannoy, Jacuzzi and Onesie. Some brand names become so popular that they become household names beyond their own product. Now, we can add Bitcoin to that list. The coin’s rise from $1,000 to $20,000 in value during a crazy 2017 has catapulted it into the public eye. While it’s. The post Beyond Bitcoin: Understanding the Other Cryptocurrencies on the Market appeared first on Dataconomy.
Dataconomy
MARCH 19, 2018
It’s impossible to discuss cryptocurrency without at least mentioning Bitcoin. It is, after all, the functional forefather of the cryptocurrency space. It’s the currency that everyone thinks about when you mention crypto, and the one by which virtually every other contender in the field is measured. It also has a. The post How the Solution To Bitcoin’s Scaling Problem Could Change Your Networks appeared first on Dataconomy.
Dataconomy
MARCH 30, 2018
Analytics has become an integral part of our daily lives. We don’t even realize how analytics is driving our decisions, our activities, our interests, our shopping behavior and more. Companies are using analytics to identify potential acquisition opportunities, their future market performances, customer behavior and many other areas. One such. The post An Introduction to Markov Chains Using R 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
MARCH 26, 2018
Nano (formerly RaiBlocks) is a digital cryptocurrency that runs the directed acyclic graph algorithm. Nano aims at providing a platform that offers users instant transactions with zero-fee charges. To achieve this, Nano uses its unique technology called “block lattice.” In this novel technological approach, every account on the Nano network. The post Nano Coin: Is Block Lattice Better Than Blockchain?
Dataconomy
MARCH 16, 2018
All new technologies are becoming a part of our environment, but many of them remain unnoticed or incomprehensible. For many people, beacons are one of these mysterious items. Many IoT applications in large industries –such as retail and warehousing – use beacons everyday, but these small devices go unnoticed. Although the. The post What Are Beacons, and How Are They Used in IoT Projects?
Dataconomy
MARCH 28, 2018
Big data has become nearly ubiquitous among companies in every company – if they’re not using it, they’re thinking about it. In one 2017 survey, 53% of companies were using big data in their business strategy. Most big data programs are focused on certain types of data. These essential data. The post How Data Exhaust Can Be Leveraged To Benefit Your Company appeared first on Dataconomy.
Dataconomy
MARCH 6, 2018
The call to democratize data analytics today is unmistakable. The desire and need to perform analyses of company data, within all departments, has lead to this broad trend up and down the corporate landscape. By definition, data democratization is the principle that each one of us has access (and rights) to. The post Object Storage and Data Analytics: The Road to Democratization 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.
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