Machine Learning
Machine Learning | News, how-tos, features, reviews, and videos
Data is the lifeblood of AI, but how do you collect it?
AI and lots of good data go hand in hand, but it can be a challenge for companies to aggregate it
Artificial intelligence will close the gap on latency in telecommunications
Artificial intelligence is turning out to be the answer to most of our technological problems
ML.Net aims to provide machine learning for .Net developers
Microsoft's new machine learning framework promises high-level APIs to make model training and predictions easy, along with strong integration of .Net language features
Data in, intelligence out: Machine learning pipelines demystified
Data plus algorithms equals machine learning, but how does that all unfold? Let’s lift the lid on the way those pieces fit together, beginning to end
Julia tutorial: Get started with the Julia language
Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia
Introducing BigQuery ML for building predictive models with SQL
Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse
video
Tech Talk: Machine learning and AI deciphered
Breaking through the hype around machine learning and artificial intelligence, our panel of Ken Mingis, Michael Simon and Serdar Yegulalp talk through the definitions and implications of the technology.
Powering AI: The explosion of new AI hardware accelerators
Specialized hardware platforms are the future of artificial intelligence, machine learning, and deep learning at every tier and for every task in the cloud-to-edge world in which we will live
3 big data platforms look beyond Hadoop
Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning
PyTorch review: A deep learning framework built for speed
PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs
In-memory computing: enabling continuous learning for the digital enterprise
Real-time machine and deep learning use cases are now practical, thanks to in-memory computing platforms with integrated continuous learning capabilities
3 common machine learning mistakes to avoid
Enterprises keep making these three mistakes, wasting their money, reducing app performance, and getting bad results
Modern artificial intelligence: algorithms through analytics
The silicon-based algorithms that accelerate the next generation of AI happening now are powerful. But what is the strategy for quality assurance of this technology?
Reasons to welcome artificial intelligence into your workplace
When placed in the proper context, AI in the workplace isn’t something to fear, but rather something to celebrate and embrace
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
The hidden transformation underlying AI transformations
There is a rarely discussed but tremendously important dynamic facing every business deploying machine learning: what’s changing below the surface
5 Python distributions for mastering machine learning
From bare-bones to full-blown, learn which edition of Python is best for your machine learning projects
Practical AI: or why everything that says it is, isn’t
Complex algorithms do not an intelligent program make, yet, true AI can be a very involved undertaking fraught with high overheads, a substantial investment in IT support, and an ongoing need to monitor and manage the training that an...
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