Machine Learning
Machine Learning | News, how-tos, features, reviews, and videos
Unsupervised learning explained
Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow
Get started with AI using ML.Net and Model Builder
Microsoft’s .Net machine learning tooling makes it easy to add AI to your code
5 machine learning tools to ease software development
AI-driven development tools that provide code auto-completion, code vulnerability detection, and even cutting-edge code generation
The moral side of cloud-based data science
Armed with big data, machine learning, predictive analytics, and unlimited data access, how do we limit the potential for harm?
Applying devops in data science and machine learning
Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key
The best machine learning and deep learning libraries
TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models
Julia vs. Python: Which is best for data science?
Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job
Ease into AI with Microsoft Flow
No-code connectors to Azure Cognitive Services make it easy to get started with artificial intelligence
TensorFlow 2 review: Easier machine learning
Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment
Time series analysis with KNIME and Spark
Train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi data set
Supervised learning explained
Supervised learning turns labeled training data into a tuned predictive model
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
What’s new in TensorFlow 2.0
Google’s TensorFlow 2.0 is now available in beta, with a focus on improving performance, ease, compatibility, and continuity
Tips For building an effective AI ecosystem
As AI becomes more prevalent, organizations must make it easier for developers to unlock AI’s potential
Reinforcement learning explained
Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently
Natural language processing explained
Deep learning has improved machine translation and other NLP tasks by leaps and bounds
Deep learning explained
Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data
Machine learning explained
Able to learn from data, machine learning algorithms can solve problems that are too complex to solve with conventional programming
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