Data Science

Data Science news, information, and how-to advice

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How will data intelligence transform the enterprise?

Traditional business methods aren’t enough to help businesses stay competitive in today’s data-driven world. Data science outperforms these outdated methods, especially in certain key areas

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How Arcadia Data brings self-service BI to the data lake

The data lake is a new approach to data management that requires a new approach to analytics

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What is a data scientist? A key data analytics role and a lucrative career

The data scientist role varies depending on industry, but there are common skills, experience, education and training that will give you a leg up in starting your data science career.

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Review: Amazon SageMaker scales deep learning

AWS machine learning service offers easy scalability for training and inference, includes a good set of algorithms, and supports any others you supply

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The new data roles, brought to you by AI

Artificial intelligence is providing market competitiveness through higher productivity and lower costs across many industries. AI is also creating new data roles companies are desperate to fill; read more about these new roles.

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What’s new in TensorFlow machine learning

Google’s TensorFlow 1.8 machine learning library adds improved support for Google Cloud TPUs and prefetching to GPU memory

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Monetizing your models with machine learning solutions

Connecting the business user to the science is a necessary step for companies looking to extend their leadership position

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Big data analytics: The cloud-fueled shift now under way

Public clouds are the future of enterprise big data analytics, and their use is creating the unified platform needed to fully gain its value

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Why data science and machine learning are the fastest growing jobs in the US

The US could have as many as 250,000 open data science jobs by 2024, and the data science skills gap will find companies scrambling to train or hire talent in the coming years

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Key steps to model creation: data cleaning and data exploration

By following best practices and philosophies around these processes, an organization can enable successful collaboration and iteration between data science and IT teams

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Visual Studio Code joins the Anaconda Python data science toolkit

Microsoft’s Anaconda support is the next step in its open source analytics expansion

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Shopping for data: what’s fit for your purpose?

The data catalog (or data marketplace) makes finding and accessing data easier, another step toward data democratization

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How women can find mentors in the field of data science

Although it may take a bit more effort in finding a mentor in this field, all data scientists will be much better off by learning from an expert

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What’s new in Python 3.7

Python 3.7 adds new classes for data handling, optimizations for script compilation and garbage collection, and faster asynchronous I/O

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Handing off models from data science to IT

The relationship between your data science and IT teams can complicate the deployment of analytic models

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TensorFlow review: The best deep learning library gets better

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use

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Data democratization: finally living up to the name

Defining data democratized.

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Get started with Anaconda Python, the distro for data science

It provides a management GUI, a slew of scientifically oriented work environments, and tools to simplify the process of using Python for data crunching

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