Towards AI

JULY 20, 2023

medium.com Talking about PyTorch… Basic Tutorials An awesome introduction to PyTorch showing an end-to-end ML pipeline from loading your data all the way to saving a trained model, includes a Colab notebook: Learn the Basics – PyTorch Tutorials 1.8.0 LineFlow was designed to use in all deep learning… github.com Repo Cypher ?‍?

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ODSC - Open Data Science

MAY 23, 2023

Fortunately, ODSC Europe 2023 this June 14th-15th — both in-person and virtually — will be offering several opportunities for you to learn more about the AI products and services available today, as well as best practices for how to implement machine learning solutions in your organization. Delta & Databricks Make This A Reality!

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ODSC - Open Data Science

MAY 4, 2023

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%.

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ODSC - Open Data Science

JUNE 8, 2023

We couldn’t be more excited to announce our first group of partners for ODSC Europe 2023’s AI Expo and Demo Hall. Microsoft Azure Comprising more than 200 products and cloud services, Microsoft Azure aims to meet organizations where they are (in the cloud, in-person, or a hybrid of the two) to help develop new business solutions.

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ODSC - Open Data Science

APRIL 6, 2023

Many cloud providers, such as Amazon Web Services and Microsoft Azure, offer SQL-based database services that can be used to store and analyze data in the cloud. It opens a lot of possibilities when it comes to statistical modeling, visualization, and overall analysis. Finally, cloud services.

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ODSC - Open Data Science

JULY 22, 2023

On Wednesday, Henk Boelman, Senior Cloud Advocate at Microsoft, spoke about the current landscape of Microsoft Azure, as well as some interesting use cases and recent developments. Keynotes Our main keynote sessions were held on the virtual side of the conference. You can read the recap here and watch the full keynote here.

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ODSC - Open Data Science

APRIL 3, 2023

Data Science & Machine Learning There’s an increasing amount of overlap between data scientists and data analysts, as shown by the frameworks and tools noted in each chart. Cloud Services: Google Cloud Platform, AWS, Azure.

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ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. Join the Solution Showcases to learn how your organization can build AI better.

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The MLOps Blog

JUNE 27, 2023

SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale. Monitor the performance of machine learning models.

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The MLOps Blog

MAY 10, 2023

In this section, you will see different ways of saving machine learning (ML) as well as deep learning (DL) models. Saving deep learning model with TensorFlow Keras TensorFlow is a popular framework for training DL-based models, and Ker as is a wrapper for TensorFlow. Now let’s see how we can save our model.

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ODSC - Open Data Science

MARCH 10, 2023

Learn more about how you can volunteer for either the in-person or virtual team and get a free ticket to the event. Machine Learning Made Simple with Declarative Programming Tue, Mar 21, 2023 12:00 PM — 1:00 PM EDT Join this webinar and demo to learn about declarative ML systems, incl.

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ODSC - Open Data Science

MARCH 3, 2023

Machine Learning Made Simple with Declarative Programming Tue, Mar 21, 2023 12:00 PM — 1:00 PM EDT Join this webinar and demo to learn about declarative ML systems, incl.

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ODSC - Open Data Science

APRIL 21, 2023

With its applications in creativity, automation, business, advancements in NLP, and deep learning, the technology isn’t only opening new doors, but igniting the public imagination. Let’s take a look at what’s in store for you at ODSC East this May 9th-11th and what you’ll learn about generative AI when you attend.

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Snorkel AI

AUGUST 8, 2023

Deep learning to learn complex patterns from data that are difficult to identify using traditional methods. When banks build models and applications with Snorkel, they can quickly deploy in their secure environments thanks to our partnerships with Google Cloud, Microsoft Azure, and others. Book a demo today.

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Mlearning.ai

JUNE 16, 2023

It also can minimize the risks of miscommunication in the process since the analyst and customer can align on the prototype before proceeding to the build phase Design: DALL-E, another deep learning model developed by OpenAI to generate digital images from natural language descriptions, can contribute to the design of applications.

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Pickl AI

APRIL 26, 2024

Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure? I have experience working with cloud-based data platforms, such as AWS S3 for data storage, Google BigQuery for data querying, and Azure Machine Learning for deploying machine learning models. Additional Benefits Free demo sessions.

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The MLOps Blog

MARCH 21, 2023

An ML platform standardizes the technology stack for your data team around best practices to reduce incidental complexities with machine learning and better enable teams across projects and workflows. We ask this during product demos, user and support calls, and on our MLOps LIVE podcast. Why are you building an ML platform?

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Dataconomy

APRIL 25, 2023

But first, you need to run the Visual ChatGPT demo, and here is how to do it. Phrasee uses NLP and deep learning to generate catchy headlines, subject line calls to action, and body text that matches your brand voice and tone. Figma has an AI feature called FigJam that can help you brainstorm and sketch ideas with your team.

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The MLOps Blog

OCTOBER 3, 2023

What helped me both in the transition to the data scientist role and then also to the MLOps engineer role was doing a combination of boot camps, and when I was going to the MLOps engineer role, I also took this one workshop that’s pretty well-known called Full Stack Deep Learning. I really enjoyed it. How was my code?”

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