ML @ CMU

MARCH 30, 2023

Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. Model explanations have been touted as crucial information to facilitate human-ML interactions in many real-world applications where end users make decisions informed by ML predictions.

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Google Research AI blog

MARCH 30, 2023

Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen Paritosh, Senior Research Scientist, Google Research, Brain Team Machine learning (ML) offers tremendous potential, from diagnosing cancer to engineering safe self-driving cars to amplifying human productivity. Each step can introduce issues and biases.

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Pickl AI

JANUARY 29, 2024

2024 Tech breakdown: Understanding Data Science vs ML vs AI Quoting Eric Schmidt , the former CEO of Google, ‘There were 5 exabytes of information created between the dawn of civilisation through 2003, but that much information is now created every two days.’ AI comprises Natural Language Processing, computer vision, and robotics.

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Smart Data Collective

MAY 23, 2021

AI (Artificial Intelligence) and ML (Machine Learning) will bring improvement in Fintech in 2021 as the accuracy and personalization of payment, lending, and insurance services while also assisting in the discovery of new client pools. Automated Customer Service & Chatbots. Detection and prevention of fraud.

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Tableau

JANUARY 5, 2022

We’re headed into the new year feeling incredibly grateful for the Tableau Community—2021 was an amazing year in Tableau innovation and we owe so much to you, our incredible #DataFam. So let’s look at some of the features released throughout 2021 that got our #DataFam abuzz in the Twitterverse. . HipsterVizNinja) February 12, 2021.

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Tableau

JANUARY 4, 2022

We’re headed into the new year feeling incredibly grateful for the Tableau Community—2021 was an amazing year in Tableau innovation and we owe so much to you, our incredible #DataFam. So let’s look at some of the features released throughout 2021 that got our #DataFam abuzz in the Twitterverse. . HipsterVizNinja) February 12, 2021.

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O'Reilly Media

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. Given the difficulty of hiring expertise from outside, we expect an increasing number of companies to grow their own ML and AI talent internally using training programs. Salaries by Gender. The Last Word.

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Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In ML, there are a variety of algorithms that can help solve problems. 12, 2021. [6] 16, 2020. [4] Russell and P.

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KDnuggets

NOVEMBER 18, 2021

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

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Towards AI

JUNE 5, 2023

In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. As such, my intention with this blog is not to duplicate those definitions but rather to encourage you to question and evaluate your current ML strategy. Source: Image by the author.

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Dataversity

MAY 14, 2021

By combining machine learning (ML) analytics with the rich and extensive data gathered by IIoT sensors across the plant, predictive monitoring systems can pick […]. The post Why 2021 Will See More Predictive Monitoring in Process Manufacturing Plants appeared first on DATAVERSITY.

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Dataversity

JANUARY 15, 2021

The post Four Technology Trends That Will Shape Data Analytics in 2021 appeared first on DATAVERSITY. Faced with the unprecedented challenges of COVID-19, governments around the world are typically relying on advanced statistical modeling to make sense of a barrage of constantly changing metrics.

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KDnuggets

NOVEMBER 2, 2021

ML pipeline design has undergone several evolutions in the past decade with advances in memory and processor performance, storage systems, and the increasing scale of data sets. We describe how these design patterns changed, what processes they went through, and their future direction.

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KDnuggets

NOVEMBER 5, 2021

As an important and active area of research, roadmaps are being developed to help guide continued ML research and use toward meaningful and robust applications. There remain critical challenges in machine learning that, if left resolved, could lead to unintended consequences and unsafe use of AI in the future.

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KDnuggets

NOVEMBER 22, 2021

PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.

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KDnuggets

NOVEMBER 18, 2021

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

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KDnuggets

DECEMBER 15, 2021

Whether it's an ML side project or adding a new feature to a enterprise production deployment, technical documentation throughout the MLOps lifecycle is vital in every project by increasing quality, transparency, and saves time in future development.

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KDnuggets

DECEMBER 27, 2021

Learn how to improve ML reproducibility by treating experiments as code.

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KDnuggets

NOVEMBER 9, 2021

This article suggests what kind of ML native data format should be to truly serve the needs of modern data scientists. In this article we are discussing that HDF5 is one of the most popular and reliable formats for non-tabular, numerical data. But this format is not optimized for deep learning work.

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IBM Data Science in Practice

MARCH 8, 2023

The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem.

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Machine Learning Machine Learning ML ML 264

Hacker News

MARCH 7, 2023

for the Central African Republic; ga for Gabon; gq for Equatorial Guinea; ml for Mali; and.tk The lawsuit points to a 2021 study (PDF) on the abuse of domains conducted for the European Commission, which discovered that those ccTLDs operated by Freenom made up five of the Top Ten TLDs most abused by phishers. for Tokelau.

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KDnuggets

NOVEMBER 9, 2021

This article clearly describes the ground truth realities about learning new ML skills and eventually working professionally as a machine learning engineer.

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Towards AI

DECEMBER 19, 2023

Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. GAMI-Net is formulated as follows: Figure 1 (Source: Yang, Zhang and Sudjianto (2021, Pattern Recognition): GAMI-Net. Source: Yang, Zhang and Sudjianto (2021, Pattern Recognition): GAMI-Net.

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AWS Machine Learning Blog

APRIL 9, 2024

We ask “What was the Amazon’s revenue in 2019 and 2021?” For this example, the query is “What was the Amazon’s revenue in 2019 and 2021?” He is passionate about developing state-of-the-art AI/ML-powered solutions to solve complex business problems for diverse industries, optimizing efficiency and scalability.

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Data Science Dojo

MARCH 15, 2024

Its robots are powered by a technology called the Covariant Brain, a machine-learning (ML) model to train and improve robots’ functionality in real-world applications. It was a result of this challenge that OpenAI disbanded its robotics team in 2021. However, it all changed when Covariant AI introduced its new AI model.

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DataRobot Blog

MARCH 30, 2022

For those who haven’t read the prior blogs ( 2019 , 2020 , 2021 ), the idea behind this task is to leverage various sources of data for each track (betting odds, audio analysis , lyric sentiment) to rank which ones are most likely to win the aforementioned awards. Composable ML. See DataRobot Composable ML in Action.

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Mlearning.ai

OCTOBER 2, 2023

creativity through great questions. AI Art 2024 Continue reading on MLearning.ai »

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Towards AI

AUGUST 16, 2023

The MLOps Process We can see some of the differences with MLOps which is a set of methods and techniques to deploy and maintain machine learning (ML) models in production reliably and efficiently. Upper Saddle River, NJ: Prentice Hall, ISBN: 978–0–13–604259–4, 2021. [3] 15, 2022. [4] Join thousands of data leaders on the AI newsletter.

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Machine Learning Machine Learning AI AI 94

Google Research AI blog

FEBRUARY 23, 2023

Commensurate with our mission to demonstrate these societal benefits , Google Research’s programs in applied machine learning (ML) have helped place Alphabet among the top five most impactful corporate research institutions in the health and life sciences publications on the Nature Impact Index in every year from 2019 through 2022.

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Tableau

FEBRUARY 22, 2021

February 23, 2021 - 3:55am. March 23, 2021. release, we’re delivering the first integration of Salesforce’s artificial intelligence (AI) and machine learning (ML) capabilities in Tableau. There are three ways to leverage the core ML technology of Einstein Discovery in Tableau—all with no coding required: . Bobby Brill.

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KDnuggets

NOVEMBER 22, 2021

PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.

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ODSC - Open Data Science

MARCH 22, 2023

A 2021 VentureBeat analysis suggests that 87% of AI models never make it to a production environment and an MIT Sloan Management Review article found that 70% of companies reported minimal impact from AI projects. As a bonus, we’ll look into boosting your ML performance with smart upsampling. billion in 2022, an increase of 21.3%

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KDnuggets

NOVEMBER 9, 2021

This article clearly describes the ground truth realities about learning new ML skills and eventually working professionally as a machine learning engineer.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

In 2021, the pharmaceutical industry generated $550 billion in US revenue. In this post, we show how to develop an ML-driven solution using Amazon SageMaker for detecting adverse events using the publicly available Adverse Drug Reaction Dataset on Hugging Face.

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KDnuggets

NOVEMBER 11, 2021

Also: How to Build Strong Data Science Portfolio as a Beginner; Data Science Portfolio Project Ideas That Can Get You Hired (Or Not); Exclusive: OpenAI summarizes KDnuggets.

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ODSC - Open Data Science

JANUARY 12, 2024

New and developing technologies like artificial intelligence (AI) and machine learning (ML) are vital in improving industries and daily life worldwide. Since training AI and ML models takes massive amounts of data, bad actors can manipulate them by peppering data sources with incorrect information. What Is Data Poisoning?

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Towards AI

JULY 20, 2023

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. Over the past several years, researchers have increasingly attempted to improve the data extraction process through various ML techniques. This study by Bui et al.

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