databricks

JUNE 18, 2025

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Flipboard

JUNE 16, 2025

The world’s leading publication for data science, AI, and ML professionals. I’ve worked as a data scientist in FinTech for six years. The data came as a.parquet file that I downloaded using duckdb. You don’t need a PhD to be a data scientist or win a ML competition.

Machine Learning 126

Machine Learning Machine Learning Data Science Artificial Intelligence 126

AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. Using SageMaker, you can build, train and deploy ML models.

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ML ML AWS AI 99

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Let’s learn about the services we will use to make this happen.

Data Warehouse 114

Data Warehouse Machine Learning Machine Learning Cloud Data 114

Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. OUR PRODUCT IS OPEN-SOURCE AND USED AT ENTERPRISE SCALE Our distributed data engine Daft [link] is open-sourced and runs on 800k CPU cores daily.

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ML ML Python ETL 132

ODSC - Open Data Science

JUNE 13, 2025

The examples are production-ready and provide an actionable reference for developers and ML engineers alike. Applied Data Mesh Workshop for Scalable Data Platforms Jay Sen, Director, Data Engineering, PayPal Sen led a highly practical walkthrough on implementing data mesh principles using modern tooling.

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ML ML Data Science Azure 52

Flipboard

DECEMBER 11, 2024

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services.

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SQL AWS Data Lakes ML 160

Flipboard

JUNE 16, 2023

. – Data source layer: By capturing information in real-time, this layer ensures thorough market coverage while addressing the temporal sensitivity of financial data. – Data engineering layer addresses the inherent difficulties of high temporal sensitivity and poor signal-to-noise ratio in financial data.

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Natural Language Processing Artificial Intelligence Artificial Intelligence Data Quality 182

AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. These models are then pushed to an Amazon Simple Storage Service (Amazon S3) bucket using DVC, a version control tool for ML models. They use the DJL PyTorch engine to initialize the model predictor.

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ODSC - Open Data Science

OCTOBER 7, 2024

Come and be part of ODSC West’s AI Expo & Demo Hall ! There you’ll hear from Ivan Nardini, Developer Relations Engineer at Google Cloud and discover the latest advancements in AI and learn how to leverage Google Cloud’s powerful tools and infrastructure to drive innovation in your organization.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 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.

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SQL ML ML Python 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.

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SQL ML ML Python 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. and Pandas or Apache Spark DataFrames.

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Machine Learning Machine Learning ML ML 134

AWS Machine Learning Blog

DECEMBER 15, 2023

We are excited to announce the launch of Amazon DocumentDB (with MongoDB compatibility) integration with Amazon SageMaker Canvas , allowing Amazon DocumentDB customers to build and use generative AI and machine learning (ML) solutions without writing code. On the Import data page, for Data Source , choose DocumentDB and Add Connection.

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Machine Learning Machine Learning AWS ML 120

ODSC - Open Data Science

APRIL 10, 2023

But “doing machine learning” is not your typical engineering task. There are countless blockers that may keep you from getting your ML projects off the ground, including: The time required to understand and stitch together a fragmented ecosystem of low-level, ML-specific packages. Consider data engineering as an example.

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ODSC - Open Data Science

APRIL 29, 2023

a comprehensive approach to the ML pipeline. This session will explore the current state of model training and execution at the edge, as well as acceleration alternatives in data augmentation and data curation strategies, containerized models and applications. Guillaume Moutier｜Sr.

Data Science 52

Data Science Exploratory Data Analysis AI AI 52

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.

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ODSC - Open Data Science

JUNE 12, 2025

Each one features demos, live coding, and Q&A — focused on helping you build agentic AI systems alongside experts. Jerry Liu Jerry Liu is the co-founder and CEO of LlamaIndex, a leading open-source framework that simplifies data integration and querying for large language model (LLM) applications.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. Next, we present the data preprocessing and other transformation methods applied to the dataset.

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ODSC - Open Data Science

OCTOBER 24, 2024

From Prototype to Production: Mastering LLMOps, Prompt Engineering, and Cloud Deployments This post is meant to walk through some of the steps of how to take your LLMs to the next level, focusing on critical aspects like LLMOps, advanced prompt engineering, and cloud-based deployments.

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ML ML Data Science Machine Learning 52

AWS Machine Learning Blog

JUNE 29, 2023

Some of these solutions use common machine learning (ML) models built on historical interaction patterns, user demographic attributes, product similarities, and group behavior. Amazon Personalize enables developers to build applications powered by the same type of ML technology used by Amazon.com for real-time personalized recommendations.

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AWS ML ML Computer Science 87

Tableau

DECEMBER 1, 2021

I did not realize as Chris demoed his prototype PhD system that it would become Tableau Desktop , a product used today by millions of people around the world to see and understand data, including in Fortune 500 companies, classrooms, and nonprofit organizations. Another key data computation moment was Hyper in v10.5 (Jan

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ODSC - Open Data Science

MARCH 13, 2023

First, there’s a need for preparing the data, aka data engineering basics. Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation.

Machine Learning 94

Machine Learning Machine Learning Data Wrangling Data Science 94

AWS Machine Learning Blog

JULY 15, 2024

About the Authors Na Yu is a Lead GenAI Solutions Architect at Mission Cloud, specializing in developing ML, MLOps, and GenAI solutions in AWS Cloud and working closely with customers. in Mechanical Engineering from the University of Notre Dame. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

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DataRobot

SEPTEMBER 14, 2021

Data scientists and data engineers want full control over every aspect of their machine learning solutions and want coding interfaces so that they can use their favorite libraries and languages. At the same time, business and data analysts want to access intuitive, point-and-click tools that use automated best practices.

AI 94

AI AI Data Scientist Machine Learning 94

ODSC - Open Data Science

MARCH 20, 2025

These AI & Data Engineering Sessions Are a Must-Attend at ODSC East2025 Whether youre navigating AI decision support, technical debt in data engineering, or the future of autonomous agents, these sessions provide actionable strategies, real-world case studies, and cutting-edge frameworks to help you stayahead.

ETL 52

ETL Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 6, 2023

Big data analytics is evergreen, and as more companies use big data it only makes sense that practitioners are interested in analyzing data in-house. Deep learning is a fairly common sibling of machine learning, just going a bit more in-depth, so ML practitioners most often still work with deep learning.

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ODSC - Open Data Science

MARCH 22, 2023

In this talk, Eric will describe how to gain an edge in player evaluation by building off of traditional charting data with state-of-the-art player tracking data, and foreshadow how such methods will revolutionize the sport of football in the future. As a bonus, we’ll look into boosting your ML performance with smart upsampling.

Machine Learning 98

Machine Learning Machine Learning Data Science Artificial Intelligence 98

DataRobot Blog

JUNE 1, 2022

Join the platform breakout session track to see an end-to-end product demo, dive deep into Continuous AI, learn how to create scalable AI projects, and understand how to manage governance and risk. In a robust virtual expo, visit with experts in data engineering, machine learning, ML Ops, and AI-powered apps.

Data Scientist 119

Data Scientist AI AI Machine Learning 119

ODSC - Open Data Science

OCTOBER 14, 2023

The AI Expo and Demo Hall At the AI Expo and Demo Hall you’ll have the opportunity to connect one-on-one with representatives from industry-leading organizations in MLOps, Machine Learning, NLP, Time Series Data, and much more. Included in your open pass, you’ll get access to. with Comparative AI/DataGPT Ask the Experts!

Data Science 52

Data Science Machine Learning Machine Learning ML 52

ODSC - Open Data Science

OCTOBER 20, 2023

At the AI Expo and Demo Hall as part of ODSC West in a few weeks, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Microsoft Azure, Hewlett Packard, Iguazio, neo4j, Tangent Works, Qwak, Cloudera, and others.

AI 52

AI AI Data Science Machine Learning 52

The MLOps Blog

SEPTEMBER 7, 2023

This situation is not different in the ML world. Data Scientists and ML Engineers typically write lots and lots of code. Applying software design principles to data engineering Dive into the integration of concrete software design principles and patterns within the realm of data engineering.

Machine Learning 52

Machine Learning Machine Learning ETL ML 52

ODSC - Open Data Science

FEBRUARY 22, 2024

ODSC Highlights Announcing the First Speakers for the 2024 Data Engineering Summit Featuring topics like data-centric AI, Apache tools, and more, these are the first sessions announced for the Data Engineering Summit this April.

Machine Learning 52

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 52

Heartbeat

AUGUST 4, 2023

SAM Demo of Photo by Andre Hunter on Unsplash Natural Language Processing (NLP) studies have revolutionized in the last five years with large datasets and pre-trained, zero-shot, and few-shot generalizations. The data engine has three stages: assisted-manual, semi-automatic, and fully automatic.

Deep Learning 52

Deep Learning Deep Learning Data Engineering Data Engineering 52

Tableau

DECEMBER 1, 2021

I did not realize as Chris demoed his prototype PhD system that it would become Tableau Desktop , a product used today by millions of people around the world to see and understand data, including in Fortune 500 companies, classrooms, and nonprofit organizations. Another key data computation moment was Hyper in v10.5 (Jan

Tableau 98

Tableau ML ML Database 98

phData

JANUARY 31, 2024

In this blog, we’ll show you how to build a robust energy price forecasting solution within the Snowflake Data Cloud ecosystem. We’ll cover how to get the data via the Snowflake Marketplace, how to apply machine learning with Snowpark , and then bring it all together to create an automated ML model to forecast energy prices.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. 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.

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Machine Learning Machine Learning Data Scientist ML 69