Data Science
Data Science | News, how-tos, features, reviews, and videos
Data is inherently messy. Is that really such a bad thing?
In an imperfect world, consider shifting your data quality mindset from “how do I clean all this up?” to “how do I make the most of this state of affairs?”
Practical use cases for real-time decisioning
Real-time decisioning has its place in almost every transaction and interaction you have with data and technology today
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
What’s new in the Anaconda distribution for Python
Anaconda 5.2 adds job scheduling, support for GPUs, and integration with version control systems including Git and GitHub
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
What is Julia? A fresh approach to numerical computing
A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language
In an age of fake news, is there really such a thing as fake data?
The pitfalls and benefits of using synthetic data to train AI algorithms
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
Why dynamically visualizing relationships in data matters
The ability to visualize data, their relationships to one another and connections to business objectives gives organizations the power to uncover insights that would otherwise elude them
It’s time we tapped APIs for business analytics
With so much information flowing through APIs, the API management system offers a central hub for business insight
How to test developer, data science, and devops job candidates
Even if they can show you code on GitHub, you want your finalists to do a trial project as a real, objective test. Here are the test projects you should use
What is TensorFlow? The machine learning library explained
TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier
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
video
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
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
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