ODSC - Open Data Science

FEBRUARY 13, 2023

These videos are a part of the ODSC/Microsoft AI learning journe y which includes videos, blogs, webinars, and more. How Deep Neural Networks Work and How We Put Them to Work at Facebook Deep learning is the technology driving today’s artificial intelligence boom.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

ODSC - Open Data Science

MARCH 6, 2023

Primary Coding Language for Machine Learning Likely to the surprise of no one, python by far is the leading programming language for machine learning practitioners. Deep learning is a fairly common sibling of machine learning, just going a bit more in-depth, so ML practitioners most often still work with deep learning.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

ODSC - Open Data Science

APRIL 20, 2023

Deep Learning Approaches to Sentiment Analysis (with spaCy!) In this post, we’ll be demonstrating two deep learning approaches to sentiment analysis, specifically using spaCy. Deep Learning Approaches to Sentiment Analysis, Data Integrity, and Dolly 2.0 Register by Friday to save 30%.

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Deep Learning Deep Learning Data Science Machine Learning 52

ODSC - Open Data Science

APRIL 19, 2023

Deep learning continues to be a hot topic as increased demands for AI-driven applications, availability of data, and the need for increased explainability are pushing forward. So let’s take a quick dive and see some big sessions about deep learning coming up at ODSC East May 9th-11th.

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AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts.

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Flipboard

NOVEMBER 30, 2023

Although it provides various entry points like the SageMaker Python SDK, AWS SDKs, the SageMaker console, and Amazon SageMaker Studio notebooks to simplify the process of training and deploying ML models at scale, customers are still looking for better ways to deploy their models for playground testing and to optimize production deployments.

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ML ML AWS Python 167

PyImageSearch

APRIL 24, 2023

This tutorial is primarily for developers who want to accelerate their deep learning models with PyTorch 2.0. In this series, you will learn about Accelerating Deep Learning Models with PyTorch 2.0. TorchDynamo extracts FX Graphs by inspecting Python bytecode at runtime and detecting calls to PyTorch operations.

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Deep Learning Deep Learning Python Computer Science 104

Flipboard

FEBRUARY 7, 2023

Although you can easily carry out smaller experiments and demos with the sample notebooks presented in this post on Studio Lab for free, it is recommended to use Amazon SageMaker Studio when you train your own medical image models at scale. Make sure to choose the medical-image-ai Python kernel when running the TCIA notebooks in Studio Lab.

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ODSC - Open Data Science

MARCH 20, 2023

Finally, Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. This will also be the last day to connect with our partners in the AI Expo and Demo Hall.

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PyImageSearch

FEBRUARY 3, 2025

Gradio is an open-source Python library that empowers developers to build interactive web interfaces for their machine learning models, APIs, or any Python functions with ease. In essence, Gradio serves as a bridge between complex machine learning models and the non-technical users who can benefit from them.

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Machine Learning Machine Learning Python Deep Learning 73

AWS Machine Learning Blog

MARCH 3, 2025

Prerequisites To run this demo, complete the following prerequisites: Create an AWS account , if you dont already have one. Under Application and OS Images (Amazon Machine Image) , select an AWS Deep Learning AMI that comes preconfigured with NVIDIA OSS driver and PyTorch. Amazon Linux 2). model=meta-llama/Llama-3.2-3B

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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.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

We use Streamlit for the sample demo application UI. Option 1: Deploy a real-time streaming endpoint using an LMI container The LMI container is one of the Deep Learning Containers for large model inference hosted by SageMaker to facilitate hosting large language models (LLMs) on AWS infrastructure for low-latency inference use cases.

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ODSC - Open Data Science

MARCH 13, 2023

Looking forward If you’re interested in learning more about machine learning, Then check out ODSC East 2023 , where there will be a number of sessions as part of the machine & deep learning track that will cover the tools, strategies, platforms, and use cases you need to know to excel in the field.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

DJL Serving is built on top of DJL , a deep learning library written in the Java programming language. It can take a deep learning model, several models, or workflows and make them available through an HTTP endpoint. This instructs DJLServing to use the Python engine. The serving.properties is shown as follows.

ML 132

ML ML AWS Deep Learning 132

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

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DataRobot

FEBRUARY 10, 2021

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD by Jeremy Howard and Sylvain Gugger is a hands-on guide that helps people with little math background understand and use deep learning quickly. The following figure shows the Python code and how it led to data after November 2011.

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Machine Learning Machine Learning Data Scientist Deep Learning 98

Mlearning.ai

MAY 25, 2023

Hey, guys in this blog we will see some of the Best Python mini projects that anyone can implement to make their Python game even stronger. Python is widely known for its simplicity and readability , making it an excellent choice for beginners and experienced developers alike. Working of our App [link] 2.

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AWS Machine Learning Blog

MARCH 20, 2023

In the context of deep learning, the predominant numerical format used for research and deployment has so far been 32-bit floating point, or FP32. However, the need for reduced bandwidth and compute requirements of deep learning models has driven research into using lower-precision numerical formats. 2xLarge-INT8 35.7

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Mlearning.ai

JUNE 19, 2023

Hey, guys in this blog we will see some of the Best Python projects for beginners with source code that anyone can implement to make their Python game even stronger. By working on Python projects, beginners can apply their knowledge of Python and develop real-world applications that showcase their skills.

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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 Data Science Deep Learning 52

Hacker News

SEPTEMBER 4, 2023

Such representations are called embeddings and are used extensively in deep learning, from language models to image generators. In the context of image compression, for example, rather than recording every pixel value, Neural Compression learns to identify critical features or visual patterns.

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Algorithm Deep Learning Deep Learning AI 150

Towards AI

JULY 21, 2023

Deep learning and semantic parsing, do we still care about information extraction? Where are those commonsense reasoning demos? CryptoHack – Home A fun platform to learn about cryptography through solving challenges and cracking insecure code. How are downstream tasks being used in the enterprise? So… where are we….

Natural Language Processing 98

Natural Language Processing Python Deep Learning Deep Learning 98

AWS Machine Learning Blog

SEPTEMBER 6, 2023

This feature is particularly beneficial for deep learning and generative AI models that require accelerated compute. It is recommended to run this example on a SageMaker notebook instance using the conda_python3 (Python 3.10.10) kernel. RUN pip install opencv-python-headless==4.7.0.68 RUN pip install matplotlib==3.6.3

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ODSC - Open Data Science

AUGUST 8, 2023

Pre-Bootcamp On-Demand Training Before the conference, you’ll have access to on-demand, self-paced training on core skills like Python, SQL, and more from some of our acclaimed instructors. Day 1 will focus on introducing fundamental data science and AI skills.

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Towards AI

JULY 21, 2023

To further comment on Fury, for those looking to intern in the short term, we have a position available to work in an NLP deep learning project in the healthcare domain. A toolkit that allows the developer to dig deep into language models, in addition to dataset visualization. We do… huggingface.co What can it do?

Deep Learning 96

Deep Learning Deep Learning SQL Natural Language Processing 96

Flipboard

AUGUST 21, 2023

In the first segment of this tutorial, we will address the essential Python packages necessary for building our people counter on OAK. As we approach the culmination of this tutorial, we will define the primary Python driver script that integrates all the utilities and logic that have been developed. mp4 │ └── example_02.mp4

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ODSC - Open Data Science

MARCH 18, 2025

Allen Downey, PhD, Principal Data Scientist at PyMCLabs Allen is the author of several booksincluding Think Python, Think Bayes, and Probably Overthinking Itand a blog about data science and Bayesian statistics. A prolific educator, Julien shares his knowledge through code demos, blogs, and YouTube, making complex AI accessible.

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Data Science Machine Learning Machine Learning Data Scientist 64

AWS Machine Learning Blog

DECEMBER 14, 2023

For the demo, we use simulated bank statements like the following example. In the demo, the pre-manifest file shows the following code: [ { 'pdf': 's3:// /data_aws_idp_workshop_data/bank_stmt_0.pdf', pdf', 'expected_entities': 's3:// /prelabeling-inputs/expected-entities/example-demo/fuzzymatching_version/file_bank_stmt_0.json'

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ODSC - Open Data Science

FEBRUARY 8, 2024

Deep Learning with PyTorch and TensorFlow Dr. Jon Krohn | Chief Data Scientist | Nebula.io Jon Krohn, for an immersive introduction to Deep Learning that brings high-level theory to life with interactive examples featuring all three of the principal Python libraries, PyTorch, TensorFlow 2, and Keras.

Big Data Analytics 52

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AWS Machine Learning Blog

AUGUST 24, 2023

Today, we’re pleased to announce the preview of Amazon SageMaker Profiler , a capability of Amazon SageMaker that provides a detailed view into the AWS compute resources provisioned during training deep learning models on SageMaker. In this post, we walk you through the capabilities of SageMaker Profiler. gpu-py310-cu118-ubuntu20.04-sagemaker",

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PyImageSearch

APRIL 28, 2025

We also demonstrated a simple object detection demo using an interactive Gradio application. image : A PIL (Python Imaging Library) image in RGB format with a resolution of 416416 pixels. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

Deep Learning 96

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AWS Machine Learning Blog

NOVEMBER 8, 2023

MAPs can use both predefined and customized operators for DICOM image loading, series selection, model inference, and postprocessing We have developed a Python module using the AWS HealthImaging Python SDK Boto3. We have used a prebuilt container with Python 3.8 To create a SageMaker model, you will need to load a model.tar.gz

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ODSC - Open Data Science

APRIL 10, 2023

Deep Learning with PyTorch and TensorFlow part 1 and 2 Dr. Jon Krohn | Chief Data Scientist | Nebula.io Introduction to scikit-learn: Machine Learning in Python Thomas J. Intermediate Machine Learning with scikit-learn: Pandas Interoperability, Categorical Data, Parameter Tuning, and Model Evaluation Thomas J.

Machine Learning 52

Machine Learning Machine Learning Data Science Deep Learning 52

Mlearning.ai

FEBRUARY 9, 2023

AI tools, such as ChatGPT and DALL-E, are developed with deep learning techniques. Deep learning is a subfield of AI that aims to extract knowledge from data through complex neural networks. Performing deep learning projects is difficult. Building a deep learning model takes both money and time.

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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. Improving Operations and Infrastructure Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users.

Data Science 96

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Mlearning.ai

FEBRUARY 23, 2023

Read full article with demo here —  [link] GFPGAN aims to develop a Practical Algorithm for Real-world Face Restoration. GFPGAN (Generative Facial Prior-Generative Adversarial Network) GFPGAN is a deep-learning model that has shown great promise in restoring old images. So this is all for this blog folks.

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