Machine Learning
Machine Learning | News, how-tos, features, reviews, and videos
Semi-supervised learning explained
Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always
Automated machine learning or AutoML explained
AutoML frameworks and services eliminate the need for skilled data scientists to build machine learning and deep learning models
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
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
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
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
Financial firms bank on A.I. as pilot projects head to production
While AI is a buzzword in financial services, companies must be sure of a business use case even before putting together an AI dev team.
Machine learning algorithms explained
Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem
FDA to pilot A.I., consider blockchain, to track and trace food
The FDA plans to pilot artificial intelligence and machine learning technology in its legacy food-screening systems – and it's exploring how to build out blockchain internally and industry-wide to increase the scale, efficiency and...
Delta Lake gives Apache Spark data sets new powers
A new open source project from Databricks adds ACID transactions, versioning, and schema enforcement to Spark data sources that don't have them
TensorFlow unveils MLIR for faster machine learning
Sublanguage project promises faster compilation and easier hardware optimization for high-performance machine learning models
IBM preps Watson AI services to run on Kubernetes
IBM Watson services arrive in versions that can run on the public cloud or on privately hosted container infrastructure
What is Keras? The deep neural network API explained
Easy to use and widely supported, Keras makes deep learning about as simple as deep learning can be
PyText builds on PyTorch for language recognition
A Facebook project for natural language processing is now open source, and it promises better ways to mine texts for meaning
Visual Studio Code’s Python add-on tries out data science
Data exploration and machine learning models are enabled via a Python language extension
-
White Paper
-
White Paper
-
White Paper
-
eBook
Sponsored -
Research/Infographic
Sponsored
