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In this webinar, Jan 15 @ 12PM EST, we'll offer solutions to the common challenges data scientists and dataengineers face when building a machinelearning pipeline. Register now to attend live or to watch a recording afterwards.
Introduction Are you curious about the latest advancements in the data tech industry? In that case, we invite you to check out DataHour, a series of webinars led by experts in the field. Perhaps you’re hoping to advance your career or transition into this field.
Introduction Are you interested in exploring the latest advancements in the data tech industry? Introducing DataHour – a series of expert-led webinars where you can gain hands-on experience, deepen your understanding and connect with leaders in the field. Do you want to enhance your career growth or transition into the field?
Overview on Analytics Problem Analytics Vidhya has long been at the forefront of imparting data science knowledge to its community. With the intent to make learningdata science more engaging to the community, we began with our new initiative- “DataHour”.
Introduction The February installment of the webinar series is now open! It’s a farewell time to your quest for finding the ideal data science learning platform, as Analytics Vidhya has arrived.
Introduction With the world of data science constantly evolving, it is important to stay up-to-date with the latest trends and techniques for aspiring and established professionals alike.
A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial DataEngineering, and LLM Evaluation ODSC East 2025 Black Friday Deal Take advantage of our 2-for-1 Black Friday sale and join the leading conference for data scientists and AI builders. Learn, innovate, and connect as we shape the future of AI — together!
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The Ascent of ChatGPT, DataEngineering Summit Highlights, and Ten Industries Generative AI is Disrupting The Ascent of ChatGPT Since its release in November 2022 by OpenAI, ChatGPT has taken the world by storm. Learn more about how you can volunteer for either the in-person or virtual team and get a free ticket to the event.
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Leveraging Time-Series Segmentation and MachineLearning for Better Forecasting Accuracy An AutoML tool will usually use all the data you have available, develop several models, and then select the best-performing model as a global ‘champion’ to generate forecasts for all time series. Let’s explain some more.
Top 10 Pre-Trained Models for Image Embedding Every Data Scientist Should Know This article walks through the top 10 state-of-the-art pre-trained models to get started with image embedding. Organizational Processes for MachineLearning Risk Management Organizational processes are a key nontechnical determinant of reliability in ML systems.
Get hands-on, practical experience with cutting-edge, industry-revolutionizing tools from a wide range of disciplines like Generative AI, MachineLearning, LLMs, Data Visualization, LLMOps and MLOps, and much more. Register by Friday for 50% off! See them here!
Cybersecurity Measures to Prevent Data Poisoning Bad actors always look for ways to twist AI algorithms into something more sinister, making data poisoning a serious issue that you should be prepared for. Check out ODSC’s Ai X Podcast, a new series where we take deep dives into the data science topics you care about.
Take a deep dive into MachineLearning, NLP, Large Language Models, Generative AI, MLOps, and more with 250+ experts, core contributors, and practitioners shaping the future of AI. Register now for 40% off! Weekly Recap Newsletter Want to get a weekly digest of AI news from around the world every Friday?
ODSC East Call for Volunteers Become a valued part of the ODSC Community and connect with an incredibly motivated group of Data Science enthusiasts! Whether you are a dataengineer or someone who does dataengineering on the side, you’ll find new tools and techniques you can apply to your work immediately at this dataengineering conference.
It combines techniques from mathematics, statistics, computer science, and domain expertise to analyze data, draw conclusions, and forecast future trends. Data scientists use a combination of programming languages (Python, R, etc.), Versatility and industry applications Is data science a good career?
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Our incredible lineup of speakers includes world-class experts in AI engineering, AI for robotics, LLMs, machinelearning, and much more. Learn how Informa’s IIRIS team manages data from over 2.5 Register here before we sell out! What is the P-Value? billion customer interactions to promote 1.5K global trade shows.
And before the hackathon starts, make sure to begin your journey with NVIDIA’s exclusive webinar. 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.
Jordan of Berkeley on Learning-Aware Mechanism Design We recently spoke with Michael I. Jordan of UC Berkeley about learning-aware mechanism design and machinelearning. How to Use Data Mining in Cybersecurity Since every organization must prioritize cybersecurity, data mining is applicable across all industries.
As businesses increasingly turn to cloud solutions, Azure stands out as a leading platform for Data Science, offering powerful tools and services for advanced analytics and MachineLearning. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.
Machinelearning is starting to go mainstream, graduating out of the research lab and making its way into products. In fact, every engineering team we’ve worked on has had an item on their roadmap that went something like “Improve [cool feature] with machinelearning”. Consider dataengineering as an example.
Monitoring and Managing Drift, Building a ChatGPT-Powered Voice Assistant, and Gen AI for Data Analysis MLOps: Monitoring and Managing Drift Your machinelearning model is always going to change over time, so how do you monitor and manage drift when it occurs? Catch this flash sale ASAP!
As part of our efforts to grow the data science community, we are offering our support to startups in these fields to help them spread the word to VCs, conference audiences, and the data science community. Apply now for a chance to participate, and we’ll be in touch if space is available.
Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets. Making data-driven decisions: Data science empowers you to make informed decisions by analyzing and interpreting data.
In an ODSC webinar , Pandata’s Nicolas Decavel-Bueff and myself ( Cal Al-Dhubaib ) partnered with Data Stack Academy’s Parham Parvizi to share some of the lessons we’ve learned from building enterprise-grade large language models (LLMs) — and tips on how data scientists and dataengineers can get started as well.
Meet StableVicuna, The First Large-Scale Open-Source RLHF Chatbot by Stability AI In a blog post, Stability AI introduced StableVicuna, the first large-scale open-source chatbot trained via reinforcement learning through human feedback or RLHF. There’s less than a week to go until ODSC East 2023. Register by Friday to save 20%.
The Future of DataEngineering Goes Through Data Contracts Data contracts define a link between the data producer and one or more consumers of the data. It also links a logical world, dear to architects, and an implementation world, loved by engineers. Register by Friday for 40% off!
Some people think that machinelearning, AI, and deep learning is more important than the web and will have a bigger impact on transformation than the web. Deep learning is one thing. Machinelearning is another. The challenge with deep learning is that a lot of our data is unstructured.
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Data-centric AI, in his opinion, is based on the following principles: It’s time to focus on the data — after all the progress achieved in algorithms means it’s now time to spend more time on the data Inconsistent data labels are common since reasonable, well-trained people can see things differently.
With more data than ever before, the ability to find the right data has become harder than ever. Yet businesses need to find data to make data-driven decisions. However, dataengineers, data scientists, data stewards, and chief data officers face the challenge of finding data easily.
As part of our efforts to grow the data science community, we are offering our support to startups in these fields to help them spread the word to VCs, conference audiences, and the data science community. Apply now for a chance to participate, and we’ll be in touch if space is available.
AI Frameworks and Libraries Every Software Engineer Should Know Let’s take a look at some of the most critical AI frameworks and tools that software engineers should consider learning as AI continues to enter the field of software engineering.
I’m joined by Brian Richardson, who’s an Associate Partner, and Senior Data Scientist at Quantum Black, and also leads our data-centric AI efforts across Quantum Black and McKinsey globally. By way of explanation, Quantum Black is a machinelearningengineering services company that started back in 2009.
As part of our efforts to grow the data science community, we are offering our support to startups in these fields to help them spread the word to VCs, conference audiences, and the data science community. Apply now for a chance to participate, and we’ll be in touch if space is available.
New AI Chip Surpasses Nvidia, AMD, and Intel with 20x Faster Speeds and Over 4 Trillion Transistors Cerebras Systems is a California-based startup making waves with its latest release, Wafer Scale Engine, a new AI chip that’s outperforming industry giants. Apply now for a chance to participate, and we’ll be in touch if space is available.
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