SEARCH (ENTER TO SEE ALL RESULTS)

POPULAR TOPICS

Contributed
News
Analysis
The New Stack Makers
Tutorial
Research
Podcast
Science
Feature
Off-The-Shelf Hacker
Skip to content
  • Podcasts
    • TNS @Scale Series
    • TNS Analysts Round Table
    • TNS Context Weekly News
    • TNS Makers Interviews
    • All Podcasts
  • Events
  • Ebooks
    • Storage
    • DevOps
    • Serverless
    • Microservices
    • Kubernetes Ecosystem
    • Docker Ecosystem
    • All Ebooks
  • Newsletter
  • Sponsorship
  • • • •
    • Podcasts
      • TNS @Scale Series
      • TNS Analysts Round Table
      • TNS Context Weekly News
      • TNS Makers Interviews
      • All Podcasts
    • Events
    • Ebooks
      • Machine Learning
      • DevOps
      • Serverless
      • Microservices
      • Kubernetes Ecosystem
      • Docker Ecosystem
      • All Ebooks
    • Newsletter
    • Sponsorship
Skip to content
  • Architecture
    • Cloud Native
    • Containers
    • Edge/IoT
    • Microservices
    • Networking
    • Serverless
    • Storage
  • Development
    • Development
    • Cloud Services
    • Data
    • Machine Learning
    • Security
  • Operations
    • CI/CD
    • Culture
    • DevOps
    • Kubernetes
    • Monitoring
    • Service Mesh
    • Tools
 

Machine Learning

▾ 1 MINUTE READ — CLOSE

Machine learning moves beyond the traditional model of computation. Instead of arriving at a definite reproducible answer through a series of calculations, machine learning — a branch of artificial intelligence — works instead on a series of statistical probabilities to suggest new solutions to a problem. This work is useful for such jobs as designing new materials, medical diagnosis, advanced game graphics, and so many other tasks.

Much of the early success in machine learning has come from supervised learning, where a clearly defined data set is already available for analysis. But work has been going on to move beyond this model, with the Reinforcement Learning, where an agent learns by interacting with its environment. Gathering even more momentum has been Deep Learning, which doesn’t require all the intermediate steps that supervised learning does. Instead, the idea is to let the Deep Learning neural nets find the answers on their own.

At The New Stack, we have focused our coverage of this emerging field mostly around two areas of scalable architecture. We are keeping a close eye on an emerging field of AIOps, where machine learning can influence and drive IT operations. AIOps should be able to help by automating the path from development to production, predicting the effect of deployment on production and automatically responding to changes in how the production environment is performing. Companies such as New Relic, OpsRamp, and Moogsoft have all invested heavily in this area,

Another area of machine learning we are covering closely is how Kubernetes and related cloud native technologies can expedite the machine learning lifecycle.  Machine learning involves an entire IT cycle of technologies that are very early on in terms of productization: Data must be harvested and cleansed, models must be tested and the most useful models must be pressed into production, with a feedback loop of some sort to ensure the models can be updated. Emerging workflows such as Kubeflow and Anaconda can help streamline these processes.


A newsletter digest of the week’s most important stories & analyses.

Do you also want to be notified of the following?
We don’t sell or share your email. By continuing, you agree to our Terms of Use and Privacy Policy.

Culture / Machine Learning

Wistful Researcher Applies a Neural Network to Questions about Her 1997 Junior Prom

9 Apr 2017 9:00am, by David Cassel

Development / Machine Learning

OpenAI Bots Create Own Language to Communicate with Each Other

9 Apr 2017 3:00am, by Kimberley Mok

Development / Machine Learning

Machine Learning Is Not Magic: It’s All About Math, Stats, Data, and Programming

7 Apr 2017 1:00am, by Janakiram MSV

CI/CD / Cloud Native / DevOps / Machine Learning / Microservices

Staples Moves to Microservices and Cognitive Computing for Flexibility and Growth

5 Apr 2017 12:00pm, by Darryl Taft

Machine Learning

New Machine Learning Algorithms Accelerate Drug Discovery on Desktop Computers

2 Apr 2017 6:00am, by Kimberley Mok

CI/CD / Cloud Native / Data / Development / DevOps / Machine Learning

Close the Feedback Loop: Automating Systems of Insight

31 Mar 2017 9:00am, by Susan Hall

Machine Learning / Security

Machine Learning and Playbooks are Key to DFLabs’ Incident Response Technology

27 Mar 2017 12:00pm, by Susan Hall

Machine Learning / Sponsored

SXSW 2017: How Machine Learning Differs From Regular Programming

23 Mar 2017 3:00pm, by Joab Jackson

API Management / Cloud Services / Machine Learning

IBM Empowers Financial Services App Developers with New Tools, Services

22 Mar 2017 10:55am, by Darryl Taft

Machine Learning

Graphcore’s Vibrant Computational Images Show Artificial Intelligence in Action

12 Mar 2017 6:00am, by Kimberley Mok

SHAKEY at SRI International

Culture / Machine Learning

Remembering Shakey, the First Intelligent Robot

5 Mar 2017 9:00am, by David Cassel

Cloud Native / Data / Development / Machine Learning

Bonsai’s Mark Hammond on Artificial Intelligence: It’s About Teaching

3 Mar 2017 1:00am, by TC Currie

Cloud Native / Containers / Machine Learning / Microservices / Monitoring / Security

CoScale Offers Full-Stack Monitoring for Containers and Microservices

24 Feb 2017 9:19am, by Susan Hall

DevOps / Machine Learning

How ZeroStack Uses Artificial Intelligence to Manage Cloud-Based Infrastructure

16 Feb 2017 3:00am, by Kiran Oliver

Data / Machine Learning / Monitoring / Security

Logz.io Adds a Cast of Thousands to Help with Log Analysis

15 Feb 2017 3:00am, by Susan Hall

Culture / Edge / IoT / Machine Learning / Monitoring

Deep Learning AI Pinpoints Mechanical Breakdowns by Listening to Machines

12 Feb 2017 6:00am, by Kimberley Mok

Culture / Data / Machine Learning

Super Bowl Sunday in the Age of Data and Drones

11 Feb 2017 9:00am, by David Cassel

Machine Learning / Tools

Build and Run an Artificial Neural Network on Your Browser

10 Feb 2017 3:00am, by Tanushri Chakravorty

API Management / Data / Development / Machine Learning

How Real Estate Site Trulia Uses Artificial Intelligence to Customize User Experience

7 Feb 2017 6:00am, by Kiran Oliver

Culture / Machine Learning

Deep Learning Algorithm Diagnoses Skin Cancer Better than Human Dermatologists

5 Feb 2017 6:00am, by Kimberley Mok

Machine Learning

Know When to Fold ‘Em: CMU AI Program Beats Humans at No Limits Texas Hold ‘Em Poker

1 Feb 2017 8:14am, by Kimberley Mok and TC Currie

Machine Learning

Bonsai Aims to Do for Artificial Intelligence What Databases Do for Data

30 Jan 2017 9:00am, by Susan Hall

Culture / Data / Development / Machine Learning / Open Source

MIT’s Food Computers Set the Stage for Open Source Agriculture

29 Jan 2017 6:00am, by Kimberley Mok

Culture / Machine Learning

Kristen Stewart: Neural Network Pioneer?

28 Jan 2017 12:00pm, by David Cassel

CI/CD / Development / Machine Learning

Review: Automation, Joblessness and the Vacuum of Tech Ethics

27 Jan 2017 1:32pm, by Michael Coté

Containers / Data / Development / Machine Learning

Artificial Intelligence’s Next Big Step: Reinforcement Learning

25 Jan 2017 8:00am, by Mary Branscombe

11 12 13 14 15 16 17 18 19 20

Architecture

  • Cloud Native
  • Containers
  • Edge/IoT
  • Microservices
  • Networking
  • Serverless
  • Storage

Development

  • Cloud Services
  • Data
  • Development
  • Machine Learning
  • Security

Operations

  • CI/CD
  • Culture
  • DevOps
  • Kubernetes
  • Monitoring
  • Service Mesh
  • Tools

The New Stack

  • Ebooks
  • Podcasts
  • Events
  • Newsletter
  • About / Contact
  • Sponsors
  • Sponsorship
  • Disclosures
  • Contributions
  • Twitter
  • Facebook
  • YouTube
  • Soundcloud
  • LinkedIn
  • Slideshare
  • RSS

© 2021 The New Stack. All rights reserved.

Privacy Policy. Terms of Use.