Data Science
Data Science news, information, and how-to advice
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 Data science outperforms these outdated methods, especially in certain key areas
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
Deep Dive
Machine learning megaguide: Amazon, Microsoft, Databricks, Google, HPE, IBM
Download InfoWorld's massive roundup of Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits
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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.
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
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.
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
Deep Dive
Quick guide: Learn to crunch big data with R
Get started using the open source R programming language to do statistical computing and graphics on large data sets
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
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
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
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
Visual Studio Code joins the Anaconda Python data science toolkit
Microsoft’s Anaconda support is the next step in its open source analytics expansion
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
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
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
Handing off models from data science to IT
The relationship between your data science and IT teams can complicate the deployment of analytic models
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
Data democratization: finally living up to the name
Defining data democratized.
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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