Data Preparation, Deep Learning and Demo

Revolutionize your ML workflow: 5 drag and drop tools for streamlining your pipeline

Data Science Dojo

APRIL 3, 2023

These tools are designed to be user-friendly and do not require any coding skills, making it easier for data scientists to build models quickly and efficiently. Explore the top 10 machine learning demos and discover cutting-edge techniques that will take your skills to the next level. H2O.ai H2O.ai

ML

ML ML Machine Learning Machine Learning

State of Machine Learning Survey Results Part Two

ODSC - Open Data Science

MARCH 13, 2023

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

Machine Learning Machine Learning Data Wrangling Data Science

Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

NOVEMBER 19, 2024

As attendees circulate through the GAIZ, subject matter experts and Generative AI Innovation Center strategists will be on-hand to share insights, answer questions, present customer stories from an extensive catalog of reference demos, and provide personalized guidance for moving generative AI applications into production.

AWS

AWS ML ML AI

Webinars

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

MORE WEBINARS

Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning Blog

NOVEMBER 22, 2023

Interact with several demos that feature new applications, including a competition that involves using generative AI tech to pilot a drone around an obstacle course. Join this chalk talk for a deep dive on FM customizations through an interactive demo. Generative AI is at the heart of the AWS Village this year.

AWS

AWS ML ML AI

Predict vehicle fleet failure probability using Amazon SageMaker Jumpstart

AWS Machine Learning Blog

JULY 5, 2023

What if we could apply deep learning techniques to common areas that drive vehicle failures, unplanned downtime, and repair costs? Solution overview The AWS predictive maintenance solution for automotive fleets applies deep learning techniques to common areas that drive vehicle failures, unplanned downtime, and repair costs.

AWS

AWS Deep Learning Deep Learning ML

Collaborate Smarter, Not Harder: Comet’s Integrations for Effective ML Project Management

Heartbeat

JUNE 5, 2023

Machine Learning Frameworks Comet integrates with a wide range of machine learning frameworks, making it easy for teams to track and optimize their models regardless of the framework they use. Ludwig Ludwig is a machine learning framework for building and training deep learning models without the need for writing code.

ML

ML ML Machine Learning Machine Learning

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Flipboard

AUGUST 17, 2023

Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml For Prepare template , select Template is ready. Enter a stack name, such as Demo-Redshift. yaml locally. On the AWS CloudFormation console, choose Create stack.

ML

ML ML AWS Data Warehouse

GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning Blog

AUGUST 26, 2024

The Step Functions workflow has three steps: Convert the audio input to English text using Amazon Transcribe, an automatic speech-to-text AI service that uses deep learning for speech recognition. This instance will be used for various tasks such as video processing and data preparation.

AWS

AWS AI AI ML

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

JUNE 27, 2023

See also Thoughtworks’s guide to Evaluating MLOps Platforms End-to-end MLOps platforms End-to-end MLOps platforms provide a unified ecosystem that streamlines the entire ML workflow, from data preparation and model development to deployment and monitoring. Monitor the performance of machine learning models.

Machine Learning

Machine Learning Machine Learning ML ML

Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

AWS Machine Learning Blog

AUGUST 14, 2023

SageMaker JumpStart SageMaker JumpStart serves as a model hub encapsulating a broad array of deep learning models for text, vision, audio, and embedding use cases. Often, to get an NLP application working for production use cases, we end up having to think about data preparation and cleaning.

AWS

AWS Database AI AI

Here’s how Snorkel Flow + Google AI built an enterprise-ready model in a day

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). This demo steps you through the iterative approach and we cover the steps in detail below.

AI

AI AI Data Scientist ML

Here’s how Snorkel Flow + Google AI built an enterprise-ready model in a day

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). This demo steps you through the iterative approach and we cover the steps in detail below.

AI

AI AI Data Scientist ML

LLMOps vs. MLOps: Understanding the Differences

Iguazio

FEBRUARY 8, 2024

LLM models are large deep learning models that are trained on vast datasets, are adaptable to various tasks and specialize in NLP tasks. They are characterized by their enormous size, complexity, and the vast amount of data they process. What’s in store for LLMOps and how can data professionals prepare?

ML

ML ML Data Scientist AI

End-to-End Deep Learning Project with PyTorch & Comet ML

Heartbeat

MARCH 28, 2023

A complete guide to building a deep learning project with PyTorch, tracking an Experiment with Comet ML, and deploying an app with Gradio on HuggingFace Image by Freepik AI tools such as ChatGPT, DALL-E, and Midjourney are increasingly becoming a part of our daily lives. These tools were developed with deep learning techniques.

Deep Learning

Deep Learning Deep Learning ML ML

15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

ODSC - Open Data Science

MARCH 18, 2025

Jon Krohn, Host of the SuperDataScience Podcast Jon Krohn is a leading voice in data science as the host of SuperDataScience, the industrys most-listened-to podcast. A prolific researcher with over 20 published papers, 1,000+ citations, and 20 patents, his expertise spans deep learning, interpretability, and sports analytics.

Data Science

Data Science Machine Learning Machine Learning Data Scientist

Data Science Current

Revolutionize your ML workflow: 5 drag and drop tools for streamlining your pipeline

State of Machine Learning Survey Results Part Two

Webinars

Trending Sources

Your guide to generative AI and ML at AWS re:Invent 2024

Webinars

Your guide to generative AI and ML at AWS re:Invent 2023

Predict vehicle fleet failure probability using Amazon SageMaker Jumpstart

Collaborate Smarter, Not Harder: Comet’s Integrations for Effective ML Project Management

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

GenASL: Generative AI-powered American Sign Language avatars

MLOps Landscape in 2023: Top Tools and Platforms

Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

Here’s how Snorkel Flow + Google AI built an enterprise-ready model in a day

Here’s how Snorkel Flow + Google AI built an enterprise-ready model in a day

LLMOps vs. MLOps: Understanding the Differences

End-to-End Deep Learning Project with PyTorch & Comet ML

15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

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