Machine Learning
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Machine learning for Java developers, Part 1: Algorithms for machine learning
Set up a machine learning algorithm and develop your first prediction function in Java, then get started with Weka.
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BlackBerry refreshes its UEM suite, focuses on zero-trust access
BlackBerry's latest version of its flagship Enterprise Mobility Suite is aimed at enabling management of all devices and apps across all vendor platforms.
The best open source software of 2019
InfoWorld recognizes the leading open source projects for software development, cloud computing, data analytics, and machine learning
AI gets real (sort of) in the enterprise
Turns out AI isn’t magic pixie dust to sprinkle over legacy processes and legacy tech, but a fundamental rethinking of how to do business
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
What is deep learning? Algorithms that mimic the human brain
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
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