Machine Learning

DevOps.com

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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.

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

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

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 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.

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

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?

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

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.

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

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.

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

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.

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

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.

Bust the Burglars – Machine Learning with TensorFlow and Apache Kafka

Confluent

For general information about how to build scalable and reliable machine learning infrastructures with Apache Kafka ecosystem, check out the article Using Apache Kafka to Drive Cutting Edge Machine Learning.

Cautionary allegory about machine learning

I'm Programmer

The post Cautionary allegory about machine learning appeared first on I'm Programmer. Programming Funny Images Programming Jokes Cautionary allegory about machine learning Machine Learning Algorithms Machine Learning For Beginners Understanding AI Machine Learning

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.

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

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

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.

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.

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

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

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.

Is AI and Machine learning impacting Enterprise Mobility?

OTS Solutions

Is AI and Machine learning impacting Enterprise Mobility? As a result, developers have shifted gear and are now using the latest technologies, including machine learning and Artificial Intelligence (AI) to develop mobile apps.

MLflow: A platform for managing the machine learning lifecycle

O'Reilly Media - Data

Although machine learning (ML) can produce fantastic results, using it in practice is complex. Machine learning workflow challenges. MLflow: An open machine learning platform. We need to build machine learning tools to augment machine learning engineers”.

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 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.

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

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.

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.

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.

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?