Machine Learning

Machine Learning | News, how-tos, features, reviews, and videos

ai robotics mathematics equation analytics virtual screen
accuracy - dart on the outer edge of the dart board

neural network

Deep learning frameworks: PyTorch vs. TensorFlow

If you actually need a deep learning model, PyTorch and TensorFlow are both good choices

binary code streaming from a monitor display

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

A human profile containing digital wireframe of technology connections.

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

Printing money > currency > U.S. 100-dollar bills

For open source vs. proprietary, AWS might have it both ways

Google profits from projects like TensorFlow and Kubernetes, but AWS profits more

Exploding binary numbers

Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a predictive model. Which algorithm works best depends on the problem

weird science 2017universe

Review: Kinetica analyzes billions of rows in real time

GPU database is not only hugely scalable, but integrates graph analysis, location intelligence, and machine learning with standard SQL

gears iot

Review: Google Cloud AutoML is truly automated machine learning

Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming

cloud saas

AWS piles on the machine learning services

Hosted TensorFlow, pay-as-you-go inference serving, reinforcement learning, and automatic data labeling come to the Amazon cloud

agile man floating slip mishap mistake by gladson xavier

Machine learning lessons: 5 companies share their mistakes

Machine learning can also go terribly wrong, making you regret that enthusiastic rush to adopt

abstract data analytics

How to use Knime for data science

Free, open-source Knime allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows

brain-shaped thought bubble showing flow of alphabetic characters

7 cloud services to ease machine learning

Build, train, tune, and deploy machine learning and deep learning models in these end-to-end machine learning clouds

machine learning

Machine learning: How to go from theory to reality

A lack of skilled people continues to stymie the AI revolution. That’s why smart companies invest as much in cultural change as technology adoption—and Google shows how

bad ideas investigate brain head intelligence

10 machine learning APIs developers will love

Tap the readymade machine learning models behind these cloud-based APIs to add a stroke of genius to your app

artificial intelligence robotics machine learning

Machine learning: When to use each method and technique

What exactly can you do with machine learning? We explain the various methods and techniques available to you

Development workflow

Kubeflow brings Kubernetes to machine learning workloads

New Kubernetes project works with the TensorFlow library to ease machine learning deployments

business intelligence data visualization tools analytics

Machine learning: How to create a recommendation engine

In this excerpt from the book “Pragmatic AI,” learn how to code recommendation engines based on machine learning in AWS, Azure, and Google Cloud

shortcut through a maze

Why there are no shortcuts to machine learning

As long as companies understand that good data science takes time in an enterprise, and give these people room to learn and grow, they won’t need shortcuts

jw calculate

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

Load More