Machine learning modeling

There are a number of ways to tackle machine learning modeling. Find content on supervised and unsupervised machine learning algorithm training and modeling processes, including expert tips to help you evaluate, choose and use the right machine learning model to deliver accurate predictive outputs to solve business problems.

New & Notable

Download this free guide

Download: Free AI Buyer's Guide

We designed this expert guide to help you better understand all of the considerations for building and maintaining the infrastructure and engine that support the initiatives. Plus, learn about the products and players, like Amazon, Google, IBM, and 16 more to help you make the best buying decision.

Corporate E-mail Address:
You forgot to provide an Email Address.
This email address doesn’t appear to be valid.
This email address is already registered. Please login.
You have exceeded the maximum character limit.
Please provide a Corporate E-mail Address.
- I agree to TechTarget’s Terms of Use, Privacy Policy, and the transfer of my information to the United States for processing to provide me with relevant information as described in our Privacy Policy.
Please check the box if you want to proceed.
- I agree to my information being processed by TechTarget and its Partners to contact me via phone, email, or other means regarding information relevant to my professional interests. I may unsubscribe at any time.
Please check the box if you want to proceed.

Machine learning modeling News

November 07, 2019 07 Nov'19
Booz Allen releases Modzy AI platform and marketplace

Booz Allen Hamilton introduced an AI platform and marketplace made for uploading, deploying and managing AI models across a scalable environment.
October 30, 2019 30 Oct'19
Google releases TensorFlow Enterprise for enterprise users

With the new TensorFlow for enterprises, organizations running previous versions of TensorFlow can get long-term support, including security updates and select bug fixes.
August 09, 2019 09 Aug'19
IBM interprets machine models with AI Explainability kit

IBM's open source AI Explainability 360 toolkit packages algorithms and training examples to help humans better understand the decision-making process of machine learning models.
June 20, 2019 20 Jun'19
DataRobot acquisition of ParallelM to enhance AI management

DataRobot machine learning tools should see a boost following the company's acquisition of ParallelM, a startup with tools for deploying, managing and monitoring AI.

Machine learning modeling Get Started

Bring yourself up to speed with our introductory content

Get started with machine learning in this Amazon SageMaker tutorial

Watch this Amazon SageMaker demo on how to deploy machine learning models on AWS. From setting up IAM roles to sorting your data, this tutorial will guide you through the process. Continue Reading
Data visualization process yields 360 AI-driven analytics view

Data visualization tools find increasing uses as part of AI processes to explore data in the initial stages of model development and make outputs easier to digest. Continue Reading
3 in-demand AI skills that boost data scientists' development

AI encompasses a wide range of disciplines, from advanced math to application development, and building a strong AI team starts with incredibly skilled data scientists. Continue Reading

Evaluate Machine learning modeling Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Comparing MLaaS providers by cost, UX and ease of use

MLaaS allows companies to add machine learning capabilities without software development. There are still some barriers to entry, however, and providers are not one-size-fits-all. Continue Reading
How to optimize hyperparameter tuning for machine learning models

Adding hyperparameters tuning to your organization's research and design modelling process enables use case, region or data-specific model specifications. Continue Reading
Where are we with machine translation in AI?

Machine translation has received a boost from cutting-edge technology like deep learning but continues to struggle with the complexities and nuances of human languages. Continue Reading

Manage Machine learning modeling

Learn to apply best practices and optimize your operations.

How to create NLP metrics to improve your enterprise model

As standardized NLP framework evaluations become popular, experts urge users to focus on individualized metrics for enterprise success. Continue Reading
Merging DevOps and machine learning requires restructuring

Companies that are restructuring in order to merge their traditional DevOps teams with their machine learning efforts to aid with accessibility need to include voices from multiple teams. Continue Reading
The future state of machine learning needs improved frameworks

Utilizing machine learning in the collection and processing of data would most likely lead to more widespread adoption of AI based on the technology. Continue Reading

Problem Solve Machine learning modeling Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

How to create a data set for machine learning with limited data

A shortage of data for machine learning training sets can halt a company's AI development in its tracks. Turning to external sources and hidden data can solve the problem. Continue Reading
Serverless machine learning reduces development burdens

Getting started with machine learning throws multiple hurdles at enterprises. But the serverless computing trend, when applied to machine learning, can help remove some barriers. Continue Reading
How to solve the black box AI problem through transparency

Ethical AI black box problems complicate user trust in the decision making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading