Marktechpost

AUGUST 8, 2023

In the ever-evolving landscape of machine learning, feature management has emerged as a key pain point for ML Engineers at Airbnb. Chronon empowers ML practitioners to define features and centralize data computation for model training and production inference, guaranteeing accuracy and consistency throughout the process.

Machine Learning 97

Machine Learning ML Engineer Data Ingestion ML 97

Flipboard

NOVEMBER 28, 2023

According to the NIST Risk Management Framework (NIST RMF), risk can be estimated as a multiplicative measure of an event’s probability of occurring timed by the magnitudes of the consequences of the corresponding event. The process can then be repeated to generate a rating for any remaining residual risk per event.

Responsible AI 144

Responsible AI Artificial Intelligence Artificial Intelligence AI 144

ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. Interested in attending an ODSC event? Learn more about our upcoming events here. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Machine Learning 98

Machine Learning ML Engineer ML Data Science 98

AWS Machine Learning Blog

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. This post is co-written with Jayadeep Pabbisetty, Sr.

ML 98

ML Machine Learning ETL Data Scientist 98

ODSC - Open Data Science

APRIL 18, 2023

Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr. In-person attendees will also have the opportunity to meet with expert speakers at our Meet the Speakers event.

Data Science 98

Data Science Software Architect ML Engineer Machine Learning 98

AssemblyAI

DECEMBER 15, 2022

We were incredibly blown away by the quality and quantity of submissions and want to congratulate all of the hackers that came together with us to create such a special event! Learn more about the event, including highlighted projects and guest judges/mentors, below. Shubham Saboo (Head of DevRel at Tenstorrent Inc.

Software Engineer 130

Software Engineer ML Engineer Data Scientist AI Chatbots 130

deepsense.ai

APRIL 18, 2023

As it does every year, the event is focused on the exchange of experiences between machine learning practitioners and, most importantly, an effective update of knowledge in the rapidly changing discipline of data analysis. Once again, deepsense.ai has become GHOST Day: AMLC conference platinum partner. As a part of the conference deepsense.ai

Machine Learning 52

Machine Learning Data Scientist Large Language Models ML Engineer 52

TheSequence

FEBRUARY 19, 2024

Join the next apply() virtual conference on Wednesday, April 3, for a free event that brings together the engineering community to master AI and ML in production. Since 2021, apply() has hosted more than 24,000 people with a single purpose: helping people advance their skills and expertise in AI/ML. SAVE YOUR SPOT

ML Engineer 52

ML Engineer ML AI AI 52

TheSequence

MAY 21, 2023

📢 Event: apply(risk), the ML Engineering Community Conference for Building Risk & Fraud Detection Systems Want to connect with the ML engineering community and learn best practices from ML practitioners at Affirm, Remitly, Block, Tide, and more, on how to build risk and fraud detection systems? .

Generative AI 64

Generative AI ML Engineer ETL LLM 64

AWS Machine Learning Blog

FEBRUARY 13, 2024

Collaboration across teams – Shared features allow disparate teams like fraud, marketing, and sales to collaborate on building ML models using the same reliable data instead of creating siloed features. Audit trail for compliance – Administrators can monitor feature usage by all accounts centrally using CloudTrail event logs.

ML 105

ML ML Engineer Machine Learning Data Scientist 105

TheSequence

NOVEMBER 12, 2023

📌 ML Engineering Event: Join Meta, PepsiCo, RiotGames, Uber & more at apply(ops) apply(ops) is in two days! 🤖 Cool AI Tech Releases OpenAI Announcements OpenAI unveiled a series of new capabilities in terms of models, tools and developer toolkits at their DevDay event —> Read more.

OpenAI 64

OpenAI Generative AI ML Prompt Engineer 64

AWS Machine Learning Blog

JANUARY 5, 2024

Whenever drift is detected, an event is launched to notify the respective teams to take action or initiate model retraining. Event-driven architecture – The pipelines for model training, model deployment, and model monitoring are well integrated by use Amazon EventBridge , a serverless event bus.

Data Science 110

Data Science Data Drift DevOps Auto-complete 110

Heartbeat

OCTOBER 23, 2023

The Role of Data Scientists and ML Engineers in Health Informatics At the heart of the Age of Health Informatics are data scientists and ML engineers who play a critical role in harnessing the power of data and developing intelligent algorithms.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52

AWS Machine Learning Blog

FEBRUARY 26, 2024

The file saved on Amazon S3 creates an event that triggers a Lambda function. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice. The function invokes the modules. The modules post their respective metrics to CloudWatch metrics.

Large Language Models 112

Large Language Models LLM Big Data Natural Language Processing 112

ODSC - Open Data Science

FEBRUARY 22, 2024

By the end of this session, you’ll have a practical blueprint to efficiently harness feature stores within ML workflows. Using Graphs for Large Feature Engineering Pipelines Wes Madrigal | ML Engineer | Mad Consulting Feature engineering from raw entity-level data is complex, but there are ways to reduce that complexity.

Machine Learning 52

Machine Learning Data Science Python ML 52

AWS Machine Learning Blog

MARCH 22, 2023

Lambda is a serverless, event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. The workflow allows application developers and ML engineers to automate the custom label classification steps for any computer vision use case.

Automation 80

Automation Machine Learning ML Computer Vision 80

ODSC - Open Data Science

FEBRUARY 20, 2023

We’ll also have a series of introductory sessions on AI literacy, intros to programming, etc.

Data Science 96

Data Science Machine Learning ML Engineer Python 96

AWS Machine Learning Blog

JUNE 8, 2023

A SageMaker real-time inference endpoint enables fast, scalable deployment of ML models for predicting events. Ryan Gomes is a Data & ML Engineer with the AWS Professional Services Intelligence Practice. It performs well on various natural language processing (NLP) tasks, including text generation.

Generative AI 73

Generative AI LLM Large Language Models Machine Learning 73

ODSC - Open Data Science

JANUARY 10, 2024

Learn more about our first-announced sessions coming to the event this April 23rd-25th below. Interested in attending an ODSC event? Learn more about our upcoming events here. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

Large Language Models 52

Large Language Models LLM Deep Learning ML 52

Snorkel AI

MAY 4, 2023

The poster session will focus on foundation models, weak supervision, data labeling, and other data-centric AI topics and take place asynchronously on our event Slack server (another new addition for this year) starting on May 15. Admission to the meetup is included in your registration for the virtual event.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

Snorkel AI

MAY 4, 2023

The poster session will focus on foundation models, weak supervision, data labeling, and other data-centric AI topics and take place asynchronously on our event Slack server (another new addition for this year) starting on May 15. Admission to the meetup is included in your registration for the virtual event.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

AWS Machine Learning Blog

MARCH 30, 2023

How Keeper Efficiency is implemented This Bundesliga Match Fact consumes both event and positional data. Event data consists of hand-labelled event descriptions with useful attributes, such as shot on target. This frame is used to synchronize the event data with the positional data.

Machine Learning 70

Machine Learning Data Scientist ML Data Science 70

Snorkel AI

JUNE 9, 2023

Snorkel Co-Founder and CEO Alex Ratner kicked off the day’s events by giving attendees a peek into Snorkel’s new Foundation Model Data Platform, which includes solutions to develop and adapt large language models and foundation models. If you registered for the event but didn't see all the sessions you wanted, you can now catch up.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel Co-Founder and CEO Alex Ratner kicked off the day’s events by giving attendees a peek into Snorkel’s new Foundation Model Data Platform, which includes solutions to develop and adapt large language models and foundation models. If you registered for the event but didn't see all the sessions you wanted, you can now catch up.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Heartbeat

SEPTEMBER 18, 2023

Unleashing Innovation and Success: Comet — The Trusted ML Platform for Enterprise Environments Machine learning (ML) is a rapidly developing field, and businesses are increasingly depending on ML platforms to fuel innovation, improve efficiency, and mine data for insights.

ML 52

ML Data Scientist ML Engineer Machine Learning 52

Heartbeat

OCTOBER 30, 2023

Ideally, the responsibilities of the ML engineering team should be completed once the model is deployed. Unforeseen events, interventions, or policy changes can impact the data distribution. But, as a data scientist or an ML engineer, you focus on the solutions rather than problems, right?

Machine Learning 52

Machine Learning Data Drift ML Data Scientist 52

AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Generative AI 122

Generative AI LLM ML AI 122

AWS Machine Learning Blog

FEBRUARY 27, 2024

Apply the trained model to make predictions of future events. Pavel Maslov is a Senior DevOps and ML engineer in the Analytic Platforms team. Pavel has extensive experience in the development of frameworks, infrastructure, and tools in the domains of DevOps and ML/AI on the AWS platform.

Machine Learning 112

Machine Learning DevOps Data Quality Data Scientist 112

AWS Machine Learning Blog

NOVEMBER 16, 2023

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

Data Scientist 89

Data Scientist ML Data Science Automation 89

Heartbeat

SEPTEMBER 6, 2023

Comet Comet is a machine learning platform built to help data scientists and ML engineers track, compare, and optimize machine learning experiments. There are machine learning platforms that can perform all these tasks, and Comet is one such platform.

Machine Learning 52

Machine Learning Deep Learning Auto-complete Data Scientist 52

Heartbeat

FEBRUARY 1, 2023

Machine Learning Operations (MLOps) are the aspects of ML that deal with the creation and advancement of these models. In this article, we’ll learn everything there is to know about these operations and how ML engineers go about performing them. What is MLOps?

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96

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. This could lead to performance drifts.

Machine Learning 52

Machine Learning ML Data Quality Data Drift 52

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. This could lead to performance drifts.

Machine Learning 52

Machine Learning ML Data Quality Data Drift 52

Flipboard

MARCH 13, 2023

ML model training and evaluation pipeline After the image is published, it triggers the training and evaluation Apache Airflow pipeline through the AWS Lambda function. Lambda is a serverless, event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers.

Data Scientist 102

Data Scientist Auto-complete ML Machine Learning 102

TheSequence

JULY 12, 2023

At Cruise, we noticed a wide gap between the complexity of cloud infrastructure, and the needs of the ML workforce. ML Engineers want to focus on writing Python logic, and visualizing the impact of their changes quickly. Could you please tell us about the vision and inspiration behind this project?

ML 97

ML Python Machine Learning Metadata 97

Heartbeat

OCTOBER 5, 2023

You can also sign up to receive our weekly newsletter ( Deep Learning Weekly ), check out the Comet blog , join us on Slack , and follow Comet on Twitter and LinkedIn for resources, events, and much more that will help you build better ML models, faster.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

DECEMBER 13, 2023

ML operations, known as MLOps, focus on streamlining, automating, and monitoring ML models throughout their lifecycle. Data scientists, ML engineers, IT staff, and DevOps teams must work together to operationalize models from research to deployment and maintenance.

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ML Automation Metadata Software Development 100