Machine Learning
All about machine learning and deep learning
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
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Virtual assistants don’t need developers or AI
Virtual assistants could do so much more for enterprises, if only we’d realize they are essentially command-line interfaces that don’t require custom coding or AI tech to work
Why today’s real-time economy needs machine learning
The combined power of machine learning and artificial intelligence enable industries to process, analyze, and act on data in real time
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
ML Kit: Google brings machine learning APIs to mobile developers
The beta machine learning kit supports iOS and Android apps via the Firebase IDE and with TensorFlow Lite support
Real-time AI gets closer with Project Brainwave
Microsoft’s Project Brainwave extends Azure ML to datacenter and network hardware, to bring the machine learning processing where the data is
A lesson on today’s AI for the masses
When it comes to off-the-shelf artificial intelligence solutions, the more things change, the more they stay the same
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
Python developers profiled: What you use, what you do
A survey of 9,500 developers shows what Python programmers use and what they work on. See how typical you are as a Python developer
Why you should use Python for machine learning
Learn why Python has become the go-to programming language for machine learning and deep learning applications
The 5 best programming languages for AI development
Which programming language should you pick for your machine learning or deep learning project? These are your best options
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
‘To supervise or not to supervise’ is a question at the heart of machine learning
A guide to unsupervised and supervised machine learning and understanding their application by businesses today
Demystifying machine learning
Businesses need more than a machine learning engine or framework to successfully extract the valuable and actionable insights from their data—and not all machine learning solutions are created equal
Google Cloud tutorial: Get started with Google Cloud
From virtual machines and Kubernetes clusters to serverless functions and machine learning APIs — how to navigate Google’s cloud riches
How to get started with AI—before it’s too late
Put these five prerequisites in place so you can actually execute on your artificial intelligence strategy
Data governance 2.0
Part 1 of a conversation with Jason Fishbain, chief data officer, University of Wisconsin at Madison
Is the cloud the key to democratizing AI?
How cloud services are springing up to offer AI to companies that may otherwise lack the skills
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