ODSC - Open Data Science

FEBRUARY 20, 2023

He gave the Inaugural IMS Grace Wahba Lecture in 2022, the IMS Neyman Lecture in 2011, and an IMS Medallion Lecture in 2004. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E.

Data Science 96

Data Science Machine Learning ML Engineer Python 96

Pickl AI

JANUARY 29, 2024

billion in 2022 to a remarkable USD 484.17 In 2022, the worldwide market size for Artificial Intelligence (AI) reached USD 454.12 In 2022, the worldwide market for Machine Learning (ML) reached a valuation of $19.20 AI Engineer, Machine Learning Engineer, and Robotics Engineer are prominent roles in AI.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

AWS Machine Learning Blog

MARCH 14, 2024

Did anyone make an ace at the 2022 Shriners Children’s Open? Yes, Adam Hadwin made a hole-in-one on hole 14 during round 3 of the 2022 Shriners Children’s Open The following explainer video highlights a few examples of interacting with the virtual assistant. Collin Morikawa’s longest drive at the Shriners Childrens Open was 334 yards.

Generative AI 116

Generative AI LLM AI AI 116

AWS Machine Learning Blog

FEBRUARY 9, 2023

In 2022, the Earth’s atmosphere contains more than 400 parts per million of carbon dioxide, which is 50% more than it had in 1750. We use the TimeRangeFilter to select data from January 2021 to July 2022. The water surface area clearly decreased between February 2021 and July 2022. Since 1993, sea levels have risen 102.5

Machine Learning 59

Machine Learning ML Deep Learning Robotics 59

Unite.AI

JUNE 19, 2024

These highly skilled professionals play a pivotal role in translating theoretical models into practical, production-ready solutions, unlocking the true potential of AI and ML technologies. The global MLOps market was valued at $720 million in 2022 and is projected to grow to $13,000 million by 2030, according to Fortune Business Insights.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

ODSC - Open Data Science

JUNE 6, 2023

October 2022). Spark provides this abstraction layer to make it easy for a data engineer to pass this interface to an ML engineer to implement. This function makes it easy to define custom aggregation functions in Python. groupBy(window(embedding_stream['ts'], WINDOW_LENGTH, WINDOW_SLIDE)).applyInPandas(get_dists_to_mean,

Machine Learning 90

Machine Learning Neural Network ML Engineer Data Science 90

Snorkel AI

MAY 4, 2023

In 2022, the conference grew to 50 talks, 70 speakers, and more than five thousand registered attendees. Read the 2022 conference highlights or watch the talks on Youtube. Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

Snorkel AI

MAY 4, 2023

In 2022, the conference grew to 50 talks, 70 speakers, and more than five thousand registered attendees. Read the 2022 conference highlights or watch the talks on Youtube. Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

Towards AI

AUGUST 25, 2023

Any competent software engineer can implement any algorithm. Even if you are an experienced AI/ML engineer, you should know the performance of simpler models on your dataset/problem. Kilic, “ Data Science Terminology — AI / ML / DL,” Medium, Dec. Hosni, “ End-to-End Machine Learning Workflow (Part 2),” MLearning.ai, Dec.

Software Engineer 90

Software Engineer Machine Learning Neural Network Artificial Intelligence 90

Towards AI

JULY 19, 2023

In Aug 2022, Forbes stated that somewhere between 60–80% of AI projects are failing, according to different sources. What can you recommend to him as an ML Engineer? A better search engine for his site. They do all this before a project begins. Let’s use the example of an e-commerce retailer looking to increase sales.

ML 71

ML Machine Learning ML Engineer Explainability 71

AWS Machine Learning Blog

SEPTEMBER 18, 2023

SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. This enables Arup to visualize the UHI effect during periods of interest, such as the London summer 2022 heatwave.

Data Scientist 109

Data Scientist ML Machine Learning ML Engineer 109

AWS Machine Learning Blog

OCTOBER 24, 2024

Conclusion We believe integrating your cloud data warehouse (Amazon Redshift) with SageMaker Canvas opens the door to producing many more robust ML solutions for your business at faster and without needing to move data and with no ML experience.

Machine Learning 101

Machine Learning Auto-complete ML Data Scientist 101

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

TheSequence

JULY 12, 2023

We built many critical platform systems that enabled the ML teams to develop and ship models much faster, which contributed to the commercial launch of robotaxis in San Francisco in 2022. In May 2022, I started Sematic to bring my experience in ML infrastructure to the industry in an open-source manner.

ML 97

ML Python Machine Learning Metadata 97

Towards AI

FEBRUARY 13, 2023

In Aug 2022, Forbes stated that somewhere between 60–80% of AI projects are failing, according to different sources. What can you recommend to him as an ML Engineer? A better search engine for his site. They do all this before a project begins. Let’s use the example of an e-commerce retailer looking to increase sales.

ML 68

ML Machine Learning ML Engineer Explainability 68

Viso.ai

FEBRUARY 27, 2024

Since its inception in 2015, the YOLO (You Only Look Once) object-detection algorithm has been closely followed by tech enthusiasts, data scientists, ML engineers, and more, gaining a massive following due to its open-source nature and community contributions. The changes resulted in YOLOv6n achieving an mAP of 37.5

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Python 52

AWS Machine Learning Blog

MARCH 30, 2023

This style of play is also evident when you look at the ball recovery times for the first 24 match days in the 2022/23 season. Let’s look at certain games played by Cologne in the 2022/23 season. Fotinos Kyriakides is an ML Engineer with AWS Professional Services. Cologne achieved an incredible ball recovery time of 13.4

Machine Learning 78

Machine Learning Data Scientist Data Science Metadata 78

AWS Machine Learning Blog

JUNE 26, 2023

To address this challenge, AWS introduced Amazon SageMaker Role Manager in December 2022. SageMaker Role Manager offers predefined personas and ML activities combined to streamline your permission generation process, allowing your ML practitioners to perform their responsibilities with the least privilege permissions.

ML 75

ML Data Scientist Automation Machine Learning 75

Snorkel AI

JUNE 30, 2023

Jack Zhou, product manager at Arize , gave a lightning talk presentation entitled “How to Apply Machine Learning Observability to Your ML System” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. So this path on the right side of the production icon is what we’re calling ML observability.

Machine Learning 52

Machine Learning Data Drift ML ETL 52

Snorkel AI

JUNE 30, 2023

Jack Zhou, product manager at Arize , gave a lightning talk presentation entitled “How to Apply Machine Learning Observability to Your ML System” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. So this path on the right side of the production icon is what we’re calling ML observability.

Machine Learning 52

Machine Learning Data Drift ML ETL 52

Snorkel AI

JUNE 30, 2023

Jack Zhou, product manager at Arize , gave a lightning talk presentation entitled “How to Apply Machine Learning Observability to Your ML System” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. So this path on the right side of the production icon is what we’re calling ML observability.

Machine Learning 52

Machine Learning Data Drift ML ETL 52

AWS Machine Learning Blog

APRIL 12, 2023

In fact, according to a recent study from the Anti-Defamation League , toxicity in games is worse than ever: exposure to white supremacist ideologies in games more than doubled in 2022. To be able to iterate quickly, we needed a compute environment that was familiar to our data scientists and ML engineers.

Neural Network 68

Neural Network Machine Learning ML ML Engineer 68

AWS Machine Learning Blog

OCTOBER 11, 2024

Ginni Malik is a Senior Data & ML Engineer with AWS Professional Services. She assists customers by architecting enterprise data lake and ML solutions to scale their data analytics in the cloud. This bucket will be used as source for vector databases and uploading source files. Satish Sarapuri is a Sr.

Metadata 95

Metadata Generative AI LLM Data Ingestion 95

AWS Machine Learning Blog

FEBRUARY 5, 2024

SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. In this post, we explore how HSR.

ML 98

ML Machine Learning Python Software Engineer 98

AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker inference , which was made generally available in April 2022, makes it easy for you to deploy ML models into production to make predictions at scale, providing a broad selection of ML infrastructure and model deployment options to help meet all kinds of ML inference needs.

Large Language Models 93

Large Language Models ML Python Machine Learning 93

AWS Machine Learning Blog

AUGUST 31, 2023

Additionally, the surge of business stakeholders and in some cases legal and compliance reviews need capabilities to add transparency for managing access control, activity tracking, and reporting across the ML lifecycle. The framework that gives systematic visibility into ML model development, validation, and usage is called ML governance.

ML 107

ML Data Scientist Machine Learning Automation 107

AWS Machine Learning Blog

JANUARY 13, 2023

Based on this idea, the security protocol Flow Layer 1 and the ML algorithm process Flow Layer 2 can be easily separated so that security engineers and ML engineers can operate while maintaining a modular architecture. The FedML open-source library supports federated ML use cases for edge as well as cloud.

Machine Learning 81

Machine Learning ML Algorithm Data Scientist 81

AWS Machine Learning Blog

FEBRUARY 29, 2024

billion EUR (in 2022), a workforce of 336,884 employees (including 221,343 employees in Germany), and operations spanning 130 countries. Deutsche Bahn is a leading transportation organization in Germany with a revenue of 56.3

Data Scientist 114

Data Scientist DevOps AI AI 114

AWS Machine Learning Blog

MARCH 30, 2023

In 2022/23 so far, he has almost secured a clean sheet every other match for Die Schwarzgelben, despite the team’s inconsistency and often poor midfield performance. Fotinos Kyriakides is an ML Engineer with AWS Professional Services. As these examples show, the ways in which keepers shine and compete are manifold.

Machine Learning 78

Machine Learning Data Scientist ML Data Science 78

AWS Machine Learning Blog

AUGUST 31, 2023

Additionally, the surge of business stakeholders and in some cases legal and compliance reviews need capabilities to add transparency for managing access control, activity tracking, and reporting across the ML lifecycle. The framework that gives systematic visibility into ML model development, validation, and usage is called ML governance.

ML 52

ML Data Scientist Machine Learning Automation 52

Snorkel AI

JULY 5, 2023

Abhishek Ratna, in AI ML marketing, and TensorFlow developer engineer Robert Crowe, both from Google, spoke as part of a panel entitled “Practical Paths to Data-Centricity in Applied AI” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. So does that mean feature selection is no longer necessary?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

Abhishek Ratna, in AI ML marketing, and TensorFlow developer engineer Robert Crowe, both from Google, spoke as part of a panel entitled “Practical Paths to Data-Centricity in Applied AI” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. So does that mean feature selection is no longer necessary?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

Abhishek Ratna, in AI ML marketing, and TensorFlow developer engineer Robert Crowe, both from Google, spoke as part of a panel entitled “Practical Paths to Data-Centricity in Applied AI” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. So does that mean feature selection is no longer necessary?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

ML 52

ML Python Machine Learning Data Scientist 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

ML 52

ML Python Machine Learning Data Scientist 52

The MLOps Blog

AUGUST 11, 2023

At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. For ML practitioners who are focused on career longevity, it is crucial to recognize how an ML pipeline should function and how it can scale and adapt while maintaining a troubleshoot-friendly infrastructure.

ML 52

ML Machine Learning Data Ingestion Deep Learning 52

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.

ML 98

ML Machine Learning Metadata Automation 98