Continuous Delivery for Machine Learning

Martin Fowler

Machine Learning

DevOps.com

The post Machine Learning appeared first on DevOps.com. Blogs ROELBOB

Prerequisites For Machine Learning

The Crazy Programmer

Machine Learning has rightly become one of the most popular technologies around and according to Artificial Intelligence (AI) researchers, every single thing ranging from our food, to our jobs, to the software we write will be affected by it. Prerequisites For Machine Learning.

Putting Machine Learning Models into Production

Cloudera Engineering

The key focus areas (detailed in the diagram below) are usually managed by machine learning engineers after the data scientists have done their work. To make this more concrete, I will use an example of telco customer churn (the “Hello World” of enterprise machine learning).

Machine learning for personalization

O'Reilly Media - Ideas

Continue reading Machine learning for personalization Tony Jebara explains how Netflix is personalizing and optimizing the images shown to subscribers.

Aspects of Machine Learning on the Edge

DevOps.com

Machine learning (ML) is hard. The post Aspects of Machine Learning on the Edge appeared first on DevOps.com. Blogs DevOps Practice DevOps Toolbox Doin' DevOps devops machine learning ml

Operationalizing machine learning

O'Reilly Media - Data

Dinesh Nirmal explains how real-world machine learning reveals assumptions embedded in business processes that cause expensive misunderstandings. Continue reading Operationalizing machine learning

Testing machine learning interpretability techniques

O'Reilly Media - Data

Interpreting machine learning models is a pretty hot topic in data science circles right now. Like others in the applied machine learning field, my colleagues and I at H2O.ai have been developing machine learning interpretability software for the past 18 months or so.

Machine learning: Research & industry

O'Reilly Media - Data

Having worked in both research and industry, Mikio Braun shares insights into what's the same, what's different, and how deep learning might change the game. Continue reading Machine learning: Research & industry

Developing Simple and Stable Machine Learning Models

DevOps.com

A current challenge and debate in artificial intelligence is building simple and stable machine learning models capable of identifying patterns and even objects. The post Developing Simple and Stable Machine Learning Models appeared first on DevOps.com.

Freshly (un)retired, Gary McGraw takes on machine-learning security (Q&A)

The Parallax

The mirror, built by the CareOS subsidiary of the French tech company Baracoda , offers personalized recommendations guided by Google’s TensorFlow Lite machine-learning algorithm platform. READ MORE ON MACHINE LEARNING. Q: Why is securing machine learning important?

R vs Python for Machine Learning

The Crazy Programmer

There are so many things to learn before to choose which language is good for Machine Learning. Don’t worry guys through this article we will discuss R vs Python for Machine Learning. R vs Python for Machine Learning. Deep Learning.

Simplifying machine learning lifecycle management

O'Reilly Media - Data

In this episode of the Data Show , I spoke with Harish Doddi , co-founder and CEO of Datatron , a startup focused on helping companies deploy and manage machine learning models. Continue reading Simplifying machine learning lifecycle management

Sustaining machine learning in the enterprise

O'Reilly Media - Data

Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning. Continue reading Sustaining machine learning in the enterprise

Machine learning Humor

I'm Programmer

JavaScript Funny Humor 1 of 3 I'm crying I'm crying Machine learning Machine learning my ex employer. The post Machine learning Humor appeared first on I'm Programmer.

Applied machine learning at Facebook

O'Reilly Media - Ideas

Continue reading Applied machine learning at Facebook Kim Hazelwood discusses the hardware and software Facebook has designed to meet its scale needs.

Machine Learning

I'm Programmer

The post Machine Learning appeared first on I'm Programmer. Programming Funny Images Programming Jokes Machine Learning machine learning applications role of Computer Science in Machine Learning

When machine learning matters

Erik Bernhardsson

I joined Spotify in 2008 to focus on machine learning and music recommendations. In the majority of all products, machine learning will not be a key differentiator in the first five years. Most machine learning is sprinkles on the top. I lead the tech team at a startup and we are nowhere near using any kind of sophisticated machine learning, two years into the process. Rarely is machine learning the fundamental enabler of a product.

Managing risk in machine learning models

O'Reilly Media - Data

Burt recently co-authored a white paper on managing risk in machine learning models , and I wanted to sit down with them to discuss some of the proposals they put forward to organizations that are deploying machine learning.

Machine Learning Engineer

I'm Programmer

Programming Funny Images Programming Jokes Machine Learning Machine learning Algorithm Machine Learning Programming

How will the GDPR impact machine learning?

O'Reilly Media - Data

Answers to the three most commonly asked questions about maintaining GDPR-compliant machine learning programs. But there’s perhaps no more important—or uncertain—question than how the regulation will impact machine learning (ML), in particular.

What machine learning engineers need to know

O'Reilly Media - Data

This conversation grew out of a recent email thread the three of us had on machine learning engineers , a new job role that LinkedIn recently pegged as the fastest growing job in the U.S. Continue reading What machine learning engineers need to know

Machine Learning and Deep Learning: How Does Machine Learning Work?

G2 Crowd Software

anytime soon, but machine learning and deep learning are gaining a large amount of traction, and are becoming borderline essential in the business world. So what is machine learning and why is it so crucial for enterprise businesses today? Supervised learning.

Machine Learning in iOS

VironIT

Fifty years ago, machine learning was still the stuff of science fiction. Machine learning is a type of artificial intelligence where computers “learn” without being explicitly programmed.

Why it’s hard to design fair machine learning models

O'Reilly Media - Data

They recently wrote a survey paper, “A Critical Review of Fair Machine Learning,” where they carefully examined the standard statistical tools used to check for fairness in machine learning models. Continue reading Why it’s hard to design fair machine learning models

Preserving privacy and security in machine learning

O'Reilly Media - Data

Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services. Continue reading Preserving privacy and security in machine learning

Sustaining machine learning in the enterprise

O'Reilly Media - Ideas

Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning. Continue reading Sustaining machine learning in the enterprise

Machine Learning on the Edge(wise)

Edgewise

Machine Learning MicrosegmentationThis week, as we introduce the concept of 1-click auto-segmentation to the public, it’s important for anyone interested in microsegmenting their networks using Edgewise to understand how our technology is capable of accomplishing what we say it does.

Machine learning on encrypted data

O'Reilly Media - Ideas

The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security. As I noted, the main motivation for improving data liquidity is the growing importance of machine learning.

Managing risk in machine learning

O'Reilly Media - Ideas

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning.

Deep automation in machine learning

O'Reilly Media - Ideas

In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure. But this process only applies to a single machine learning platform: Spark.

Using machine learning to improve dialog flow in conversational applications

O'Reilly Media - Data

Continue reading Using machine learning to improve dialog flow in conversational applications The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers.

Privacy in the age of machine learning

O'Reilly Media - Data

Ben Lorica explores emerging security best practices for business intelligence, machine learning, and mobile computing products. Continue reading Privacy in the age of machine learning

The future of machine learning is tiny

O'Reilly Media - Ideas

Pete Warden digs into why embedded machine learning is so important, how to implement it on existing chips, and shares new use cases it will unlock. Continue reading The future of machine learning is tiny

Learning from users faster using machine learning

Erik Bernhardsson

Let’s also say we try to learn as much as we can from users, both using A/B tests but also using just basic slicing and dicing of the data. How can we learn faster? And instead of using the actual target metric (what fraction of people bought widgets) we use the predicted metric, using our machine learning model. So basically we learn to replace one value with a lower variance version of itself (but with slight bias).

Leveraging Machine Learning and Artificial Intelligence for 5G

CableLabs

Machine Learning (ML) and Artificial Intelligence (AI) can assist wireless operators to overcome these challenges by analyzing the geographic information, engineering parameters and historic data to: Forecast the peak traffic, resource utilization and application types.

Mozilla BugBug Adds Machine Learning to Bugzilla

The New Stack

Adding machine learning (ML) to Bugzilla is solving several problems, said Emma Humphries, Bugmaster at Mozilla , the organization behind the Firefox open source web browser. The challenge, she said, is how to use machine learning wisely.

Are Self-Service Machine Learning Models the Future of AI Integration?

DevOps.com

DevOps teams seeking to step up their mojo in developing cutting-edge artificial intelligence (AI) features are facing a big skills bottleneck when it comes to data analytics and machine learning modeling. The post Are Self-Service Machine Learning Models the Future of AI Integration?

When machine learning matters

Erik Bernhardsson

I joined Spotify in 2008 to focus on machine learning and music recommendations. In the majority of all products, machine learning will not be a key differentiator in the first five years. Most machine learning is sprinkles on the top.

Humans and the machine: Machine learning in context

O'Reilly Media - Data

Continue reading Humans and the machine: Machine learning in context Jean-François Puget explains why human context should be embraced as a guide to building better and smarter systems.