Machine Learning (Theory)

JULY 19, 2021

By: Stefanie Jegelka and Ameet Talwalkar (ICML21 Communication Chairs) With ICML 2021 underway, we wanted to briefly highlight the upcoming invited talks. She researches strategies to study complex biophysical processes on long timescales, and she is an expert in the simulation of biomolecules using large-scale ML.

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KDnuggets

NOVEMBER 30, 2021

The new platform provides a single API to abstract dozens of ML frameworks and databases.

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Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Give this technique a try to take your team’s ML modelling to the next level.

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Hacker News

JULY 26, 2024

It is widely accepted that the training of every computer scientist must include the fundamental theorems of ML, and AI appears in the curriculum of nearly every university. That places this work at the forefront of the growing trend in science to teach a core set of practical mathematical and computational skills.

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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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Applied Data Science

JANUARY 4, 2022

Hiding your 2021 resolution list under a glass of champagne? To write this post we shook the internet upside down for industry news and research breakthroughs and settled on the following 5 themes, to wrap up 2021 in a neat bow: ? In 2021, the following were added to the ever growing list of Transformer applications.

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The MLOps Blog

APRIL 5, 2023

In this comprehensive guide, we’ll explore the key concepts, challenges, and best practices for ML model packaging, including the different types of packaging formats, techniques, and frameworks. Best practices for ml model packaging Here is how you can package a model efficiently.

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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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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 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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Towards AI

NOVEMBER 16, 2024

Razaviyayn, “Nonconvex-nonconcave min-max optimization with a small maximization domain,”arXiv preprint arXiv:2110.03950, 2021.[14] Graepel, “The mechanics of n-player differentiable games,” pp. 354–363,2018.[13] Ostrovskii, B. Barazandeh, and M. Kiyavash, and N. 1153–1165, 2020.[15]

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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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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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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

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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Towards AI

NOVEMBER 16, 2024

Training and Sampling: Figure 9: Training and Sampling Algorithms for DDPM (Source: DDPM Paper by Nicol and Dhariwal, 2021) Training Process: In each batch of the training process, the following steps are taken: Sampling a random timestep t […]

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Flipboard

NOVEMBER 6, 2024

The model is trained on abdominal scans from Far Eastern Memorial Hospital (January 2012–December 2021) and evaluated using a simulated test set (14,039 scans) and a prospective test set (6351 scans) collected from the same center between December 2022 and May 2023. Overall, the model achieves a sensitivity of 0.81–0.83

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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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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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The MLOps Blog

AUGUST 11, 2023

There comes a time when every ML practitioner realizes that training a model in Jupyter Notebook is just one small part of the entire project. At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. What are ML pipeline architecture design patterns?

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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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Mlearning.ai

NOVEMBER 29, 2023

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. ML-based predictive models nowadays may consider time-dependent components — seasonality, trends, cycles, irregular components, etc. — to

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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 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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AWS Machine Learning Blog

OCTOBER 9, 2024

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. To learn more, see the documentation.

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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

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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ML @ CMU

OCTOBER 7, 2024

2021 ] on challenging compositional prompts collected from professional designers in our GenAI-Bench [ Li et al., OpenAI 2021 ]. EMNLP 2021 ]. EMNLP 2021. We introduce VQAScore [Lin et al., VQAScore aligns more closely with human judgments and significantly outperforms the popular CLIPScore [ Hessel et al., CVPR 2024 ].

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AWS Machine Learning Blog

SEPTEMBER 23, 2024

Launched in 2021, Amazon SageMaker Canvas is a visual point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without writing any code. This is crucial for compliance, security, and governance.

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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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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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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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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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DataRobot Blog

OCTOBER 11, 2022

Want to learn how AI/ML can be so effective in this space? So how can AI/ML help McLaren Formula 1 Team, one of the sports oldest and most successful teams, in this space? Lastly, for modeling purposes, I leveraged about 1140 races across 2019-2021. For now, I’ve built my model for 2019-2021 races. Let’s begin!

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