Data Science

Data Science news, information, and how-to advice

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13 frameworks for mastering machine learning

Top 5 traits of highly effective data scientists

Data science is booming and there is an incredible demand for skilled employees across all types of industries. However, the top data scientists have some fundamental traits that set them apart from the crowd

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How to prevent the hacked AI apocalypse

Adversarial attacks can undermine AI systems, sidelining their intelligence and hijacking them for evil. But there are emerging techniques to block such attacks

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H2O puts machine learning on autopilot

H2O's Driverless AI promises to bring ML analysis to nontechnical users, and to take the drudgery out of model selection for experts

Machine learning gets down to business

Yandex open sources CatBoost machine learning library

The Russian search giant has released its own system for machine learning, with trained results that can be used directly in Apple's Core ML system

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You can't build enterprise AI if you suck at data & analytics

Executives are anxious to jump on the AI bandwagon, but many organizations lack the requisite data & analytics infrastructure or executive culture to build production machine learning systems.

What is deep learning really?

Easier, faster: The next steps for deep learning

Rapidly advancing software frameworks, dedicated silicon, Spark integrations, and higher level APIs aim to put deep learning within reach

Thinking twice: Data science or MBA?

The growing demand for business data roles and data-driven managers is pushing salaries to a point that one should consider a data science degree versus an MBA for management positions

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ActiveState's Python taps Intel MKL to speed data science and machine learning

The MKL libraries for accelerating math operations debuted in Intel's own Python distribution, but now other Pythons are following suit

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Data science: teaming skills to harness insights faster

As organizations become increasingly data-driven and the influence of the data scientist skyrockets, what are the soft skills that determine success or failure for the new leaders of this age: data science teams?

future what is next

11 technologies developers should explore now

From machine learning to digital twins, opportunities abound in emerging (and converging) tech trends

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Data science could keep United out of more trouble

The right data analytics can sometimes prevent you from doing stupid things that alienate your customers

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Who needs IoT? Smartphones are the new tracking devices

Arity, a startup spun out of Allstate, uses smartphone apps to collect data that once required dedicated telematics devices

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3 reasons why data scientist remains the top job in America

For the second straight year, 'data scientist' is the top job in America. Why is the position in such high demand and will it stay there in the years to come?

Python vs. R: The battle for data scientist mind share

Here’s how the general-purpose favorite of scientists stacks up against the stat head’s data-honed tool of choice

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5 web analytics tools every business needs

For deep insights into how users interact with your website or app, look no further than these affordable tools

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3 Kaggle alternatives for collaborative data science

If you're dismayed that Kaggle is now part of the Alphabet soup, these sites continue the tradition of crafting a bounty-paying, competitive venture out of research

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The role of the developer in the machine learning workflow

As machine learning becomes a top of mind business strategy for organizations, developers need to adapt to the changing role.

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6 reasons stores can't give you real-time offers (yet)

Retailers collect tons of data about you and what you like, but don't expect brick-and-mortar stores to provide 'special offers' based on that data soon

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