TechCrunch

APRIL 7, 2021

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.

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Dataiku

NOVEMBER 8, 2023

The gap between research in the machine learning (ML) space and how people actually leverage ML in an enterprise context can be wide. That’s why the Dataiku AI Lab seeks to build a bridge between ML research and practical business applications. Case in point: large language models (LLMs) and Generative AI.

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TechCrunch

JANUARY 27, 2021

Pinecone , a new startup from the folks who helped launch Amazon SageMaker, has built a vector database that generates data in a specialized format to help build machine learning applications faster, something that was previously only accessible to the largest organizations.

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TechCrunch

MAY 10, 2022

The situation for machine learning (ML) isn’t entirely dissimilar; unless ML is core to your software — and it probably isn’t — why would you waste time on assembling an entire infrastructure. To solve that precise issue, Slai is building a developer-first platform for machine learning.

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O'Reilly Media - Data

MAY 24, 2018

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.

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TechCrunch

JANUARY 7, 2022

Gnawing, burrowing, infecting: The damages caused to agriculture by insect pests like the Japanese beetle (pictured above) exceed $100 billion every year, according to the Agricultural Research Service of the USDA. That data is turned into audio and analyzed by machine learning algorithms in the cloud. Image Credits: FarmSense.

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InfoQ Culture Methods

MARCH 7, 2024

When testing machine learning systems, we must apply existing test processes and methods differently. Machine Learning applications consist of a few lines of code, with complex networks of weighted data points that form the implementation.

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TechCrunch

MAY 2, 2022

According to Salt Labs, the research division of Salt Security (which sells API cybersecurity products, granted), API attacks from March 2021 to March 2022 increased nearly 681%. Businesses need machine learning here. To have zero trust you need API clarity. ” Traceable AI’s monitoring dashboard. .”

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TechBeacon

MARCH 2, 2023

Machine learning (ML) recently experienced a revival of public interest with the launch of ChatGPT. Businesses and researchers, however, have been working with these technologies for decades.

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Netflix Tech

NOVEMBER 24, 2023

What if we could use machine learning and computer vision to support our creative team in this process? We also utilize machine learning algorithms, consumer insights¹, and correlational analysis for discovering high-level associations between image features and an artwork’s success.

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TechCrunch

AUGUST 2, 2021

Can early-stage companies support a research-based workflow? At a startup or scaleup, the focus is often more on concrete product development than research. Before investing in staffing an AI research lab, consider this advice to determine whether you’re ready to get started. Compile the right research team.

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TechCrunch

OCTOBER 20, 2020

Soleadify is a startup that uses machine learning to create profiles for businesses in any industry. On top of Soleadify’s data, they build solutions for prospecting, market research, customer segmentation and industry monitoring. Usually, databases about companies have to be painstakingly updated by humans.

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Exadel

JULY 6, 2022

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

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Netflix Tech

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Media Access: Jasper In the early days of media ML efforts, it was very hard for researchers to access media data. Why should members care about any particular show that we recommend?

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Netflix Tech

NOVEMBER 11, 2022

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from

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Machine Learning Artificial Inteligence Media Video 95

CIO

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer.

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CIO

JANUARY 26, 2024

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

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Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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O'Reilly Media - Data

SEPTEMBER 27, 2018

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.

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Machine Learning Artificial Inteligence Survey Research 195

The Crazy Programmer

APRIL 16, 2019

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. Till now we learn both are useful in their own areas or terms. Let’s start.

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O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. 10] The Gender Shades line of research is a great example of how analyzing errors across demographic groups is necessary for models that affect people. [3] 2] The Security of Machine Learning. [3]

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Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.

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Artificial Inteligence Machine Learning Education Analytics 98

The Crazy Programmer

SEPTEMBER 13, 2019

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. Statistics. Probability. Probability.

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O'Reilly Media - Data

JUNE 26, 2018

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. Figure courtesy of H2O.ai.

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Dataiku

OCTOBER 6, 2020

In this recap from a recent webinar with GigaOm Research featuring Dataiku’s Lead Data Scientist Katie Gross , we break down some of the key barriers to machine learning deployment and what data teams (notably data scientists) have the power to do to help prevent this from happening. Why is that so?

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The Parallax

JUNE 5, 2019

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. How Facebook fights fake news with machine learning and human insights.

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Artificial Inteligence Machine Learning Training Banking 169

Dataiku

AUGUST 26, 2022

Moreover, let’s all admit to ourselves that, when we say “AI,” we broadly include machine learning (ML), data science, and really any efforts that advance digitization. Despite years of hype, AI is still in its infancy in the pharmaceutical industry (feel free to reach out to me for a lively debate if you disagree).

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Machine Learning Artificial Inteligence Pharmaceuticals Research 64

Exadel

APRIL 13, 2021

Python is irreplaceable for Machine Learning, but running Python in production can be a problem if other parts of the system are written using C#. ML.NET is a Machine Learning library for C# that helps deliver Machine Learning features in a.NET environment more quickly. That is where ML.NET can help.

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Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? What is IoT or Internet of Things?

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Hacker Earth Developers Blog

MAY 22, 2020

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.

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Cloudera

DECEMBER 8, 2020

Two years ago we wrote a research report about Federated Learning. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Two years ago we released a research report on Federated Learning.

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TechCrunch

AUGUST 25, 2021

” To make those improvements in a systematic way, researchers emphasize existing traits in the plant; this isn’t about splicing in a new gene but bringing out qualities that are already there. Or they need rust resistant wheat to survive fungal outbreaks in humid, wet summers.

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TechCrunch

AUGUST 12, 2023

In this week’s edition of WiR, we cover researchers figuring out a way to “jailbreak” Teslas, the AI.com domain name switching hands and the FCC fining robocallers. Welcome, friends, to TechCrunch’s Week in Review (WiR), the newsletter where we recap the week that was in tech. Now, on with the recap.

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Research Spyware ChatGPT Technical Review 246

Openxcell

MARCH 21, 2023

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

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OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. Here are two typical machine learning workflows. Monitoring. Does it only do so at weekends, or near Christmas?

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O'Reilly Media - Data

MARCH 6, 2018

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. The good news is relevant tools are beginning to emerge.

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Cloudera

NOVEMBER 17, 2021

We are very excited to announce the release of five, yes FIVE new AMPs, now available in Cloudera Machine Learning (CML). In addition to the UI interface, Cloudera Machine Learning exposes a REST API that can be used to programmatically perform operations related to Projects, Jobs, Models, and Applications.

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