ODSC - Open Data Science

MARCH 11, 2024

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

AWS Machine Learning Blog

FEBRUARY 1, 2023

Recent developments in deep learning have led to increasingly large models such as GPT-3, BLOOM, and OPT, some of which are already in excess of 100 billion parameters. Although larger models tend to be more powerful, training such models requires significant computational resources.

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Dataconomy

FEBRUARY 21, 2024

Google Gemma AI has arrived, offering developers powerful yet compact language models accessible for innovation and customization. Built upon the foundational research powering Google’s impressive Gemini models , Google Gemma AI is part of the company’s ongoing commitment to open-source AI development.

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AI AI Natural Language Processing Deep Learning 164

ODSC - Open Data Science

JANUARY 1, 2024

Over the years, ODSC has developed a close relationship with them, working together to host webinars, write blogs, and even collaborate on sessions at ODSC conferences. Here, we have several different playlists, including machine & deep learning , NLP , responsible AI, model explainability, and other miscellaneous data science topics.

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ODSC - Open Data Science

FEBRUARY 13, 2023

Top 3 Free Training Sessions Microsoft Azure: Machine Learning Essentials This series of videos from Microsoft covers the entire stack of machine learning essentials with Microsoft Azure. A few standout topics include model deployment and inferencing, MLOps, and multi-cloud machine learning.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

AWS Machine Learning Blog

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. This is a guest post by Mark McQuade, Malikeh Ehghaghi, and Shamane Siri from Arcee. Why Trainium?

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ODSC - Open Data Science

MARCH 28, 2023

Designed to help you identify the sessions that best fit your interests and learning goals, the ODSC Europe 2023 tracks highlight the data science and AI fields that are helping to build the future. You’ll learn about the latest research, topics, and tools from the leading experts in their respective fields.

Data Science 92

Data Science Deep Learning Deep Learning Machine Learning 92

ODSC - Open Data Science

JULY 4, 2023

Henk’s specialties include AI, Azure, and application development. Henk’s keynote talk , Build and Deploy Pytorch Models with Azure Machine Learning, is available for free now on our Ai+ Training Platform , which you can access with a free account.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

For decades, Amazon has pioneered and innovated machine learning (ML), bringing delightful experiences to its customers. Similar to the rest of the industry, the advancements of accelerated hardware have allowed Amazon teams to pursue model architectures using neural networks and deep learning (DL).

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Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. A dataset is a group of samples (in this case, photos or videos).

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AWS Machine Learning Blog

OCTOBER 5, 2023

Large language models (LLMs) have captured the imagination and attention of developers, scientists, technologists, entrepreneurs, and executives across several industries. About the Llama 2 model Similar to the previous Llama 1 model and other models like GPT, Llama 2 uses the Transformer’s decoder-only architecture.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

ODSC - Open Data Science

FEBRUARY 6, 2024

Large Language Models are everywhere these days. NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. Jon Krohn | Chief Data Scientist | Nebula.io

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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!

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Heartbeat

AUGUST 3, 2023

Popular deep learning framework PyTorch offers strong tools and packages to successfully complete image segmentation tasks. In this article, we’ll look at how to segment images using PyTorch, covering all the key procedures and methods. Make sure PyTorch and Torchvision are installed in your Python environment as well.

Deep Learning 52

Deep Learning Deep Learning Python ML 52

Heartbeat

JULY 17, 2023

[link] Transfer learning using pre-trained computer vision models has become essential in modern computer vision applications. It involves customizing a pre-trained model to work with a new set of data and tasks. This process requires careful monitoring and bench-marking to ensure the model performs optimally.

ML 52

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ODSC - Open Data Science

OCTOBER 17, 2023

But without a strong understanding of deep learning, you’ll have a difficult time getting the most out of the cutting-edge developments in the industry. You’ll cover the way it can facilitate the development of classification, regression, anomaly detection, forecasting, and recommendation systems use cases.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 8, 2023

The Scikit-Learn cheat sheet is a concise reference guide for using Scikit-Learn , a popular Machine Learning library in Python. It offers quick access to key functions and concepts, including data preprocessing, supervised and unsupervised learning techniques, and model evaluation.

Machine Learning 52

Machine Learning Machine Learning Data Science Python 52

Heartbeat

JUNE 23, 2023

However, with the advent of deep learning, researchers have explored various neural network architectures to model and forecast time series data. In this post, we will look at deep learning approaches for time series analysis and how they might be used in real-world applications. Let’s dive in!

Deep Learning 52

Deep Learning Deep Learning Python Data Scientist 52

Mlearning.ai

MAY 12, 2023

An introductory example of deploying a pretrained PyTorch model into a C++ app using NCNN for mobile devices. Deployment of deep neural network on mobile phone. (a) Introduction Many deep learning models, like CNNs, Transformers, etc., Introduction Many deep learning models, like CNNs, Transformers, etc.,

Deep Learning 52

Deep Learning Deep Learning Algorithm ML 52

ODSC - Open Data Science

AUGUST 21, 2023

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.

Data Science 52

Data Science Machine Learning Machine Learning Deep Learning 52

Heartbeat

JUNE 26, 2023

A guide to performing end-to-end computer vision projects with PyTorch-Lightning, Comet ML and Gradio Image by Freepik Computer vision is the buzzword at the moment. First, we’ll build a deep-learning model with Lightning. After that, we’ll track hyperparameters, monitor metrics and save the model with Comet ML.

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ODSC - Open Data Science

JULY 26, 2023

As a senior data scientist, I often encounter aspiring data scientists eager to learn about machine learning (ML). In this comprehensive guide, I will demystify machine learning, breaking it down into digestible concepts for beginners. What is Machine Learning? Common supervised learning tasks include classification (e.g.,

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. The CoE team synergizes business acumen with profound technical AI/ML proficiency to develop and implement interoperable, scalable solutions throughout the organization.

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Pickl AI

MARCH 7, 2024

Tools like Seaborn, R, Python, and PyTorch are integral for extracting actionable insights and enhancing career prospects. offer the best online Data Science courses tailored for beginners and professionals, focusing on practical learning and industry relevance. Why learn tools of Data Science? Platforms like Pickl.AI

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Mlearning.ai

JUNE 14, 2023

Learning Large Language Models The LLM (Foundational Models) space has seen tremendous and rapid growth. I have been going through various training modules, including this one by Google Cloud and this one by Databricks and other learning paths. With so much information out there. It might feel like being lost at sea.

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

ODSC - Open Data Science

APRIL 10, 2023

When it comes to building a successful career in data science or AI, getting hands-on training to fill knowledge gaps or learn about the latest developments in the industry is always a good idea. It also explores statistical and machine learning approaches to anomaly detection. Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science Deep Learning 52

ODSC - Open Data Science

MARCH 8, 2024

government: Report Air Force asks industry for artificial intelligence and machine learning in command and control Microsoft engineer warns company’s AI tool creates violent, sexual images, ignores copyrights Ex-Google engineer charged with stealing AI trade secrets while working with Chinese companies. MetaVoice-1B is a 1.2B

Artificial Intelligence 52

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. They can also be used to develop and validate performance and accuracy of DL workloads that will be deployed on Qualcomm devices.

AI 101

AI AI AWS Deep Learning 101

ODSC - Open Data Science

OCTOBER 11, 2023

Machine learning models are only as good as the data they are trained on. Even with the most advanced neural network architectures, if the training data is flawed, the model will suffer. Data issues like label errors, outliers, duplicates, data drift, and low-quality examples significantly hamper model performance.

AI 52

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ODSC - Open Data Science

AUGUST 10, 2023

Over the course of the day, over 3500 people tuned in to learn about generative AI, its uses, how to build applications, and the discourse around the topic. You should be comfortable using Jupyter Notebooks and Numpy, and training simple models in PyTorch. See Stage 1 here and Stage 2 here.

AI 52

AI AI AWS Data Science 52

PyImageSearch

APRIL 3, 2023

Home Table of Contents Deploying a Custom Image Classifier on an OAK-D Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? In the previous tutorial of this series, we learned to train a custom image classification network for OAK-D using the TensorFlow framework.

Deep Learning 64

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Towards AI

JANUARY 30, 2023

YOLOv8 is the latest installment in the highly influential family of models used for object detection and image segmentation. DarkNet-53 is a convolutional neural network that is 53 layers deep and can classify images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. YOLOv8 Is Here, and It Gets Better!

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Algorithm Deep Learning Deep Learning Python 81

AssemblyAI

AUGUST 27, 2023

Choosing the best Speech-to-Text API , AI model, or open source engine to build with can be challenging. You’ll need to compare accuracy, model design, features, support options, documentation, security, and more. Or simply want to play around with an API or AI model or test an API before committing to building with one?

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ODSC - Open Data Science

MARCH 2, 2023

Coding/Programming This will likely be the section that needs the least explanation, but we will dive deep anyways! Without the ability to utilize data, create models, visualizations, algorithms, or anything else, you’re left without a story. Learning is learning.

Data Science 52

Data Science SQL Deep Learning Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 6, 2023

We are excited to announce that Amazon SageMaker JumpStart can now stream large language model (LLM) inference responses. Token streaming allows you to see the model response output as it is being generated instead of waiting for LLMs to finish the response generation before it is made available for you to use or display.

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PyImageSearch

DECEMBER 11, 2023

Would you be surprised to know that Google’s PaLM (Pathways Language Model) API was responsible for creating the above text with minimal prompting and just a little bit of context? Our involvement with the Keras team also contributed to the development of Keras Core. But again, stick around for a surprise demo at the end. ?

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