Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Akhil Theerthala Originally published on Towards AI. How to Maximize ML Project Success with Efficient Scoping? | What can you recommend to him as an ML Engineer? A better search engine for his site. To improve the catalog data of his store.

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Pickl AI

JANUARY 29, 2024

This expansion is set to occur at a noteworthy CAGR of 19% from 2023 to 2032. In 2022, the worldwide market for Machine Learning (ML) reached a valuation of $19.20 billion in 2023 to an impressive $225.91 AI Engineer, Machine Learning Engineer, and Robotics Engineer are prominent roles in AI.

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Data Science ML Machine Learning Artificial Intelligence 52

Towards AI

FEBRUARY 13, 2023

Last Updated on February 13, 2023 by Editorial Team Author(s): Akhil Theerthala Originally published on Towards AI. What can you recommend to him as an ML Engineer? A better search engine for his site. We can also keep giving hundreds of other suggestions to him, both belonging to ML and not belonging to ML.

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ML Machine Learning ML Engineer Explainability 70

Snorkel AI

JUNE 30, 2023

And usually what ends up happening is that some poor data scientist or ML engineer has to manually troubleshoot this in a Jupyter Notebook. So this path on the right side of the production icon is what we’re calling ML observability. Then there’s data quality, and then explainability. The second is drift.

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Snorkel AI

JUNE 30, 2023

And usually what ends up happening is that some poor data scientist or ML engineer has to manually troubleshoot this in a Jupyter Notebook. So this path on the right side of the production icon is what we’re calling ML observability. Then there’s data quality, and then explainability. The second is drift.

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Machine Learning Data Drift ML ETL 52

Mlearning.ai

FEBRUARY 9, 2023

11 key differences in 2023 Photo by Jan Tinneberg on Unsplash Working in Data Science and Machine Learning (ML) professions can be a lot different from the expectation of it. Data Science is an umbrella role with common roles such as Data Analytics, research, ML model building, ML Ops, and ML engineering underneath.

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Data Scientist Data Science ML Machine Learning 52

Flipboard

OCTOBER 9, 2023

Getting Used to Docker for Machine Learning Introduction Docker is a powerful addition to any development environment, and this especially rings true for ML Engineers or enthusiasts who want to get started with experimentation without having to go through the hassle of setting up several drivers, packages, and more.

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The MLOps Blog

OCTOBER 20, 2023

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. There, you can use infographics, custom visualizations, and broader ways to explain your ideas. Data on its own is not sufficient for a cohesive story.

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Data Scientist Python Explainability ETL 52

The MLOps Blog

NOVEMBER 14, 2023

The large language model GPT-4 that OpenAI released in the spring of 2023 is rumored to have nearly 2 trillion parameters. This is where visualizations in ML come in. Data scientists and ML engineers: Creating and training deep learning models is no easy feat. Which one is right for you depends on your goal.

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Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Snorkel AI

JUNE 9, 2023

Leveraging Data-centric AI for Document Intelligence and PDF Extraction Snorkel AI ML Engineer Ashwini Ramamoorthy highlighted the challenges of extracting entities from semi-structured documents. Catch the sessions you missed!

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Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Leveraging Data-centric AI for Document Intelligence and PDF Extraction Snorkel AI ML Engineer Ashwini Ramamoorthy highlighted the challenges of extracting entities from semi-structured documents. Catch the sessions you missed!

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Large Language Models Data Scientist Machine Learning Computer Vision 52

The MLOps Blog

JULY 18, 2023

Sabine: Right, so, Jason, to kind of warm you up a bit… In 1 minute, how would you explain conversational AI? Not that it was just due on Tuesday, but Tuesday actually means January 3, 2023, so that perhaps I can put something on your calendar so that you can get it done. Jason: Yeah, that’s really true.

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The MLOps Blog

MAY 9, 2023

One of the most prevalent complaints we hear from ML engineers in the community is how costly and error-prone it is to manually go through the ML workflow of building and deploying models. Building end-to-end machine learning pipelines lets ML engineers build once, rerun, and reuse many times.

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The MLOps Blog

MARCH 21, 2023

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. In this comprehensive guide, we’ll explore everything you need to know about machine learning platforms, including: Components that make up an ML platform.

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