DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. There was rapidly growing demand for data science skills at companies like Netflix and Amazon. Weve run 75+ data science competitions awarding more than $4.7

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

ODSC - Open Data Science

MAY 22, 2023

Hilpisch | The AI Quant | CEO The Python Quants & The AI Machine, Adjunct Professor of Computational Finance This session will cover the essential Python topics and skills that will enable you to apply AI and Machine Learning (ML) to Algorithmic Trading. You will explore questions like: What are the different types of ML algorithms?

Data Science 97

Data Science Machine Learning Machine Learning Python 97

ODSC - Open Data Science

APRIL 12, 2023

In the weeks since we announced our first group of partners for ODSC East 2023 , we’ve added even more industry-leading organizations and startups helping to shape the future of AI and data science for enterprise. Get your free AI Expo pass to connect with their representatives one-on-one and see their products demoed live!

Data Science 97

Data Science Azure Deep Learning Deep Learning 97

ODSC - Open Data Science

FEBRUARY 28, 2023

We couldn’t be more excited to announce our first group of partners for ODSC East 2023’s AI Expo and Demo Hall. These organizations are shaping the future of the AI and data science industries with their innovative products and services. Check them out below.

Data Science 96

Data Science Machine Learning Machine Learning AI 96

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. SageMaker Studio is the first fully integrated development environment (IDE) for ML. Enter a stack name, such as Demo-Redshift. yaml locally.

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ML ML AWS Data Warehouse 123

Flipboard

APRIL 24, 2025

The demo code is available in the GitHub repository. About the authors Renuka Kumar is a Senior Engineering Technical Lead at Cisco, where she has architected and led the development of Ciscos Cloud Security BUs AI/ML capabilities in the last 2 years, including launching first-to-market innovations in this space.

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SQL Database AWS ML 152

AWS Machine Learning Blog

FEBRUARY 13, 2025

A/B testing and experimentation Data science teams can systematically evaluate different model-tool combinations, measure performance metrics, and analyze response patterns in controlled environments. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

AI 103

AI AI AWS ML 103

Data Science Dojo

APRIL 23, 2025

The answer to this dilemma is Arize AI, the team leading the charge on ML observability and evaluation in production. In this blog, we will walk you through the highlights of the series that focuses on real-world examples, hands-on demos using Arize Pheonix, and practical techniques to build your AI agents. Lets dive in.

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AI AI Decision Trees ML 195

ODSC - Open Data Science

MAY 20, 2025

That makes Streamlit ideal for internal demos, stakeholder reviews, and even lightweight production tools. These tools help you move beyond cool demo to maintainable service. Sudip Shrestha leads a data science initiative, finding joy in analyzing data to extract valuable insights.

Data Science 52

Data Science Python AI AI 52

IBM Data Science in Practice

MARCH 4, 2024

This works for both Predictive ML and LLMs. For Predictive ML, both development and runtime metrics can be monitored for any model including quality metrics, drift, and fairness monitoring. Each of these calculations can be done for any vendor at development time. Details in our documentation here.)

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AI AI ML ML 130

ODSC - Open Data Science

OCTOBER 7, 2024

Come and be part of ODSC West’s AI Expo & Demo Hall ! Bright Data : Ideal for data professionals needing large-scale data acquisition, Bright Data provides AI-driven web scraping and proxy solutions.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 18, 2023

Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals. 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.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

AWS Machine Learning Blog

APRIL 11, 2023

Developing web interfaces to interact with a machine learning (ML) model is a tedious task. With Streamlit , developing demo applications for your ML solution is easy. Streamlit is an open-source Python library that makes it easy to create and share web apps for ML and data science. sh setup.sh

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ML ML AWS Data Scientist 102

ODSC - Open Data Science

OCTOBER 19, 2023

Grab one for access to Keynote Talks, Demo Talks, the AI Expo and Demo Hall, and Extra Events. Industry, Opinion, Career Advice The Tradeoff Between Complexity and Ground Truth in AI: What You Need to Know Here, we focus on ground truth in AI and what stakeholders need to know to be effective partners with data science teams.

Citizen Data Scientist 97

Citizen Data Scientist AI AI Data Science 97

ODSC - Open Data Science

APRIL 3, 2025

Datasaur: The Definitive Guide to LLM-Automated Labeling This guide explores how to use Datasaurs LLM Labs to automate data labeling, experiment with multiple models, and utilize robo-labeling to achieve consensus between AI and human annotators. Still, these five data science methods stand above the rest in this practice.

Data Science 52

Data Science AI AI Machine Learning 52

DataRobot Blog

SEPTEMBER 1, 2022

IDC 2 predicts that by 2024, 60% of enterprises would have operationalized their ML workflows by using MLOps. The same is true for your ML workflows – you need the ability to navigate change and make strong business decisions. These and many other questions are now on top of the agenda of every data science team.

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AI AI ML ML 145

Data Science Dojo

JULY 17, 2023

Explore the top 10 machine learning demos and discover cutting-edge techniques that will take your skills to the next level. Case studies highlighting its effectiveness Scikit-learn has been used in a variety of successful data analysis projects. It is open-source, so it is free to use and modify.

Data Analysis 195

Data Analysis Data Analysis Tableau Machine Learning 195

ODSC - Open Data Science

APRIL 20, 2023

Much can be accomplished at the ODSC East AI Expo and Demo Hall , from connecting with partner representatives to getting caught up on the latest developments in AI applications. Topics covered will range from ML-based recommendations to user-friendly interfaces. Check out some of our confirmed sessions below coming this May 9th-11th.

Data Science 52

Data Science Azure AI AI 52

ODSC - Open Data Science

APRIL 7, 2025

Generative AI tools make it easy to build flashy demos. But transforming those demos into reliable, scalable software is another matter entirely. The New Software Development Lifecycle AI-native products demand a new software development lifecycleone that shares DNA with traditional ML workflows but adapts to the unique nature of LLMs.

AI 52

AI AI Data Scientist Data Science 52

ODSC - Open Data Science

MARCH 6, 2023

In a series of articles, we’d like to share the results so you too can learn more about what the data science community is doing in machine learning. 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.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

IBM Data Science in Practice

MARCH 13, 2023

Learn more about how Disparate-Impact Remover works and check out an AIF360 code demo. Learn more about how Learning Fair Representations works and check out an AIF360 code demo. Learn more about how Optimized Pre-Processing works and check out an AIF360 code demo. What about other bias-mitigation methods?

Machine Learning 130

Machine Learning Machine Learning Algorithm Data Scientist 130

ODSC - Open Data Science

MARCH 22, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Mathematics for Data Science Data science uses a combination of mathematics, statistics, and computer science to help us solve questions of importance in a large number of fields.

Machine Learning 98

Machine Learning Machine Learning Data Science Artificial Intelligence 98

IBM Data Science in Practice

MAY 21, 2024

AI efforts, whether generative AI or predictive ML, are organized into use cases. This creates a central inventory to document AI and ML efforts, including the ability to assign an overall risk score for each use case. AI Artifact Governance This portion of watsonx.governance is about documentation.

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AI AI Data Scientist ML 130

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

Data Science Dojo

OCTOBER 25, 2023

Azure ML Model Catalog Within the Azure model catalog , you can effortlessly locate the Llama 2 model developed by Meta. This demo provides a non-technical audience with the opportunity to submit queries and toggle between chat modes, simplifying the experience of interacting with Llama 2’s generative abilities.

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Azure Artificial Intelligence Artificial Intelligence AI 370

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. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Machine Learning 94

Machine Learning Machine Learning Data Wrangling Data Science 94

Mlearning.ai

AUGUST 28, 2023

I recently took the Azure Data Scientist Associate certification exam DP-100, thankfully I passed after about 3–4 months for studying the Microsoft Data Science Learning Path and the Coursera Microsoft Azure Data Scientist Associate Specialization.

Azure 52

Azure ML ML Data Science 52

Flipboard

JULY 24, 2023

Researchers from many universities build open-source projects which contribute to the development of the Data Science domain. It is also called the second brain as it can store data that is not arranged according to a present data model or schema and, therefore, cannot be stored in a traditional relational database or RDBMS.

Natural Language Processing 122

Natural Language Processing Artificial Intelligence Artificial Intelligence Data Science 122

Heartbeat

JUNE 5, 2023

However, managing machine learning projects can be challenging, especially as the size and complexity of the data and models increase. Without proper tracking, optimization, and collaboration tools, ML practitioners can quickly become overwhelmed and lose track of their progress. This is where Comet comes in.

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ML ML Machine Learning Machine Learning 59

ODSC - Open Data Science

JUNE 7, 2023

You can watch all of the sessions outlined below here for free , and you can watch the keynotes and demo talks for free here. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

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Data Science Machine Learning Machine Learning ML 93

ODSC - Open Data Science

OCTOBER 24, 2024

The Essential Tools for ML Evaluation and Responsible AI There are lots of checkmarks to hit when developing responsible AI, but thankfully, there are many tools for ML evaluation and frameworks designed to support responsible AI development and evaluation. Register by Friday for 30% off!

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ML ML Data Science Machine Learning 52

ODSC - Open Data Science

APRIL 29, 2023

Check out more of the talks and workshops from industry-leading data science and AI organizations coming to ODSC East 2023 below. a comprehensive approach to the ML pipeline. Data Science Software Acceleration at the Edge Audrey Reznik Guidera｜Sr. You can see our first round of sessions here. Guillaume Moutier｜Sr.

Data Science 52

Data Science Exploratory Data Analysis AI AI 52

ODSC - Open Data Science

APRIL 20, 2023

When you’re in search of your next job opportunity in data science, even if you’re only looking to do so passively, there are a few things that you’ll want to consider if you want to get the most out of your job search. ML Open Source Engineer at WMware’s session “ Do You Know About the People Behind The Tools?

Data Science 52

Data Science Machine Learning Machine Learning Data Wrangling 52

ODSC - Open Data Science

APRIL 10, 2023

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. The need for data science expertise to implement modeling strategies that produce useful results.

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ML ML Machine Learning Machine Learning 52

phData

NOVEMBER 2, 2023

From cutting-edge innovations in MLOps to powerful integrations with Large Language Models (LLMs), Snowflake’s event was chock full of exciting announcements for Data Scientists and ML Engineers. In this post, we’ll recap some of the announcements that we’re most excited about in the AI/ML space.

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ML ML SQL Data Scientist 52

ODSC - Open Data Science

MARCH 2, 2023

Like any skill, there are some core skills you need to know before getting into data science. Without basic foundational skills, your data science journey will end as quickly as it begins. This is why having a strong set of SQL skills is one of the must-have skills for any data scientist.

Data Science 52

Data Science SQL Deep Learning Deep Learning 52

DagsHub

SEPTEMBER 11, 2024

Source: Unsplash In the high-stakes world of data science and AI, project success is far from guaranteed. From models falling short of requirements to production failures with real-world data, the path to success is fraught with potential pitfalls. Understanding these components is crucial for effective project management.

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Data Science Data Scientist Machine Learning Machine Learning 52