Machine Learning

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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.

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

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

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.

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

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.

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

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.

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

How machine learning impacts information security

O'Reilly Media - Ideas

They list important changes to the information landscape and offer suggestions on how to alleviate some of the new risks introduced by the rise of machine learning and AI. Continue reading How machine learning impacts information security

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

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.

From Machine Learning to Machine Reasoning

CTOvision

The conversation around Artificial Intelligence usually revolves around technology-focused topics: machine learning, conversational interfaces, autonomous agents, and other aspects of data science, math, and implementation. Artificial Intelligence CTO News Cognilytica common sense deep learning knowledge graph machine learning machine reasoning ontology

Trends in data, machine learning, and AI

O'Reilly Media - Ideas

For the end-of-year holiday episode of the Data Show , I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019. Continue reading Trends in data, machine learning, and AI

A machine learning algorithm walked into a bar

I'm Programmer

The post A machine learning algorithm walked into a bar appeared first on I'm Programmer. Programming Funny Images Programming Jokes Machine Learning Machine learning Algorithm machine learning algorithm humor Machine learning Humor

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.

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

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.

An Introduction to the Machine Learning Platform as a Service

The New Stack

This article is the first post in a series on bringing continuous integration and deployment (CI/CD) practices to machine learning. Machine-Learning-Platform-as-a-Service (ML PaaS) is one of the fastest growing services in the public cloud.

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 AI technologies and platforms at AWS

O'Reilly Media - Data

Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS. Continue reading Machine learning and AI technologies and platforms at AWS

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).

How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Deep Learning".

Using machine learning to monitor and optimize chatbots

O'Reilly Media - Data

As in the case of other machine learning applications , when companies start deploying many more chatbots, automated tools for monitoring and diagnostics become essential. Continue reading Using machine learning to monitor and optimize chatbots

Wait. pizza is a vegetable? Decoding regulations using machine learning

O'Reilly Media - Data

Decoding regulations using machine learning Dinesh Nirmal explains how AI is helping supply school lunch and keep ahead of regulations. Continue reading Wait. pizza is a vegetable?

10 Ways Machine Learning Is Revolutionizing Sales

CTOvision

Artificial Intelligence (AI) and machine learning show the potential to reduce the most time-consuming, manual tasks that keep sales teams away from spending more time with customers. Automating account-based marketing support with predictive analytics and supporting account-centered research, forecasting, reporting, and recommending which customers to upsell first are all techniques freeing sales teams from manually […]. Artificial Intelligence News

5 Best Machine Learning Frameworks for Web Development

Apiumhub

Machine learning is a branch of computer science that uses statistical methods to give computers the ability to self-improve without direct human supervision. Machine learning frameworks have changed the way web development companies utilize data. Machine learning algorithms can process large volumes of unstructured information, and turn them into actionable insights and predictions. 5 Best Machine Learning Frameworks for Web Development.

How companies around the world apply machine learning

O'Reilly Media - Data

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Managing and Deploying Machine Learning sessions.

Build and Deploy a Machine Learning Model with Azure ML Service

The New Stack

This article is a post in a series on bringing continuous integration and deployment (CI/CD) practices to machine learning. In this tutorial, we will build and deploy an machine model to predict the salary from the Stackoverflow dataset.

Not all Machine Learning is Artificial Intelligence

CTOvision

Artificial Intelligence AGI AI artificial general intelligence Machine learningOne of the downsides to the recent revival of popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end users jumping on the AI bandwagon labeling their technologies, products, service offerings, and projects as AI projects without necessarily that being the case. On the other hand, there […].

5 findings from O'Reilly's machine learning adoption survey companies should know

O'Reilly Media - Data

New survey results highlight the ways organizations are handling machine learning's move to the mainstream. As machine learning has become more widely adopted by businesses, O’Reilly set out to survey our audience to learn more about how companies approach this work.

Survey 186

Building accessible tools for large-scale computation and machine learning

O'Reilly Media - Data

The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning. We talked about Bayesian machine learning, scientific computation, reinforcement learning, and his stint as an entrepreneur in the enterprise software space.

Sprouted clams and stanky bean: When machine learning makes mistakes

O'Reilly Media - Data

Continue reading Sprouted clams and stanky bean: When machine learning makes mistakes Using silly data sets as examples, Janelle Shane talks about ways that algorithms fail.

Lessons learned while helping enterprises adopt machine learning

O'Reilly Media - Ideas

In this episode of the Data Show , I spoke with Francesca Lazzeri , an AI and machine learning scientist at Microsoft, and her colleague Jaya Mathew , a senior data scientist at Microsoft. Continue reading Lessons learned while helping enterprises adopt machine learning

Application of advanced analytics and machine learning in the banking industry

Hacker Earth Developers Blog

According to the Global Banking Outlook 2018 study conducted by Ernst & Young, 60-80% of the banks are planning to increase investment in data and analytics and 40-60% plan to increase investment in machine learning. Analytics and machine learning on their own are mere buzzwords.

Artificial Intelligence Sells, But Machine Learning Delivers

CTOvision

But if you want talent to deliver on your capabilities remember to hire Machine Learning experts. But Machine Learning Delivers. Artificial Intelligence, Machine Learning, and Deep Learning are all […]. There is an old adage in the world of computing. If you want money for your project say it is Artificial Intelligence. Seems Artificial Intelligence sells.

Chasing the Elusive Machine Learning Platform

CTOvision

The “Data Science Platform” and “Machine Learning Platform” are at the front lines of [.]. Artificial Intelligence Big Data and Analytics data science Machine learning ml platformIf you have been following the breathless hype of AI and ML over these past few years, you might have noticed the increasing pace at which vendors are scrambling to roll out “platforms” that service the data science and ML communities.