Dataconomy

JANUARY 18, 2018

Recommendation systems are ever-present in our lives today. The largest web giants – such as Google, Facebook and Amazon – use algorithms to help you find search results most relevant to you, based on your previous searches and similar data from other users. In fact, pretty much any platform that has. The post Why You Need Python Machine Learning to Build a Recommendation System appeared first on Dataconomy.

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Depends on the Definition

JANUARY 26, 2018

In this post, I will show you how to use the isolation forest algorithm to detect attacks to computer networks in python. The term isolation means separating an instance from the rest of the instances. Since anomalies are ‘few and different’ and therefore they are more susceptible to isolation.

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Explosion

JANUARY 12, 2018

We founded Explosion in October 2016, so this was our first full calendar year in operation. We set ourselves ambitious goals this year, and we're very happy with how we achieved them. Here's what we got done.

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Christian Haschek

JANUARY 3, 2018

This christmas I got this LED cactus lamp that seems to be in every store now.

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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?

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Dataconomy

JANUARY 26, 2018

The internet has long been a consummate environment for collecting immense amounts of data from large swathes of the population. With the increased use of cookies and other data mining tools, the internet is, essentially, a bottomless trove of useful data. This collected information is highly prized by companies and marketers, who. The post Taking Back Ownership of Your Data appeared first on Dataconomy.

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Dataconomy

JANUARY 2, 2018

Every company I speak to, every leader I coach, I see a constant pattern—virtually everyone sees struggle as something negative. At the heart of this perception, people get too caught up in the idea of struggle to consider what struggle at its core is all about. Most people cannot see themselves objectively, which leads them to fall into the gap of their own weaknesses and shortcomings.

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Dataconomy

JANUARY 16, 2018

It seems like every quarter a new McKinsey report predicts that this will be the year trillions of dollars of IoT potential is unlocked. But while the amount of data IoT produces has skyrocketed, we’re still waiting for that return on investment. The good news is, the reports aren’t wrong. The post Time Series Data: A Difficult Yet Tameable Beast appeared first on Dataconomy.

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Dataconomy

JANUARY 24, 2018

Imagine you’re a quarterback and you’ve just stepped off the field. Your team has lost. You could look at it as a failure and call it a day – or you could look at it as an opportunity to improve. How? Embedded in your jersey are sensors that have tracked. The post How Big Data Is Revolutionizing Sports appeared first on Dataconomy.

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Dataconomy

JANUARY 2, 2018

2017 was the year when blockchain technology burst into the public consciousness. Even beyond the truly startling rise of cryptocurrencies, we became aware of how a range of markets could be transformed by applications built on the technology. But as with any emerging technology that suddenly gains fame and begins. The post Blockchain and Data Storage: The Future is Decentralized appeared first on Dataconomy.

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Dataconomy

JANUARY 12, 2018

Many people look at the world as a zero sum game. When one person wins, it’s because someone else had to lose. The same principles are often applied to infosecurity. If you are winning at infosecurity, it is because someone else is losing. Cybercrime is so rampant – and both. The post INFOGRAPHIC: Will cybercrime make the internet safer? 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.

Database

Dataconomy

JANUARY 30, 2018

If you ask a data scientist how to start or advance your data career, one of the first things they might tell you is to read. Not the answer you’d expect? You’d be surprised! The rapidly evolving nature of data science calls for professionals to keep a close eye on. The post 5 Awesome Data Science Subscriptions To Keep You Informed appeared first on Dataconomy.

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Dataconomy

JANUARY 5, 2018

As someone who has been struggling with kitten addiction for many years, I was immediately attracted to the idea behind the CryptoKitties virtual feline collectibles game – the first game to utilize Ethereum blockchain. CryptoKitties and I are, it seems, an ideal match. I’ll admit I’m far from an expert. The post What CryptoKitties can teach us about the success of blockchain appeared first on Dataconomy.

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Explosion

JANUARY 12, 2018

We founded Explosion in October 2016, so this was our first full calendar year in operation. We set ourselves ambitious goals this year, and we’re very happy with how we achieved them. Here’s what we got done. Company and Fundraising Over the last year, more and more companies have been questioning the logic of the standard venture-backed startup playbook.

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