Snorkel AI

MAY 12, 2023

Piyush Puri: Please join me in welcoming to the stage our next speakers who are here to talk about data-centric AI at Capital One, the amazing team who may or may not have coined the term, “what’s in your wallet.” Great to have you all here and really excited for the discussion and I’ll leave it to you all.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

Piyush Puri: Please join me in welcoming to the stage our next speakers who are here to talk about data-centric AI at Capital One, the amazing team who may or may not have coined the term, “what’s in your wallet.” Great to have you all here and really excited for the discussion and I’ll leave it to you all.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

MAY 16, 2023

Today we are excited to announce that Together Computer’s GPT-NeoXT-Chat-Base-20B language foundation model is available for customers using Amazon SageMaker JumpStart. You can easily try out this model and use it with JumpStart. This demonstration provides an open-source foundation model chatbot for use within your application.

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AWS Machine Learning Machine Learning ML 85

Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. Algorithms:  AI algorithms are used to process the data and extract insights from it.

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AWS Machine Learning Blog

AUGUST 1, 2023

Summarized patient information can be useful to a number of downstream processes like data aggregation, effectively coding patients, or grouping patients with similar diagnoses for review. See the following case study to learn more about a real-world use case. Two important terms to know before we begin: pre-trained and fine-tuning.

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ML ML AWS AI 74

Heartbeat

FEBRUARY 29, 2024

Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems. In the subsequent years, we saw the rise of languages like Perl, Python, Ruby, JavaScript, Java, and C#.

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Hacker News

MARCH 11, 2024

Programming language safety ” means a language’s (including its standard libraries’) static and dynamic guarantees, including but not limited to type and memory safety, which helps us make our software both more secure and more safe. Log4j ) or had nothing to do with programming languages (e.g., Acknowledgments. Acknowledgments.

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AWS Machine Learning Blog

MAY 5, 2023

In this post, we show how to repurpose an existing dataset via data cleaning, preprocessing, and pre-labeling with a zero-shot classification model in FiftyOne , and adjusting these labels with Amazon SageMaker Ground Truth. You can use Ground Truth and FiftyOne to accelerate your data labeling project.

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Machine Learning Machine Learning AWS ML 75

Flipboard

JANUARY 9, 2024

Kevlin Henney and I recently discussed whether automated code generation, using some future version of GitHub Copilot or the like, could ever replace higher-level languages. That will be a big change for professional programmers—though writing code is a small part of what programmers actually do.

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Python AI AI Data Analysis 142

Explosion

AUGUST 3, 2017

It’s easy to reuse the code but hard to reuse the data, so building AI mostly means doing annotation. This is good, because the examples are how you program the behaviour – the learner itself is really just a compiler. What’s not good is the current technology for creating the examples.

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Supervised Learning Python Machine Learning Machine Learning 52

Data Science Dojo

AUGUST 24, 2023

ML models have grown significantly in recent years, and businesses increasingly rely on them to automate and optimize their operations. What is MLOps? Infrastructure as Code (IaC) : DevOps and MLOps employ an “infrastructure as code” approach, in which infrastructure is treated as code and managed through version control systems.

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Hacker News

JANUARY 9, 2024

To us it’s profoundly satisfying to see what has been done over the past three decades with everything we’ve built so far. Version 14.0 of Wolfram Language and Mathematica is available immediately both on the desktop and in the cloud. See also more detailed information on Version 13.1 , Version 13.2 and Version 13.3. there are 6602.

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Python Algorithm Machine Learning Machine Learning 181

Explosion

FEBRUARY 18, 2015

The following are some hasty preliminary notes on how spaCy works. Some might also wonder how I get Python code to run so fast. This makes it easy to achieve the performance of native C code, but allows the use of Python language features, via the Python C API.

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The MLOps Blog

AUGUST 3, 2023

You can watch it on YouTube: Or Listen to it as a podcast on: Spotify Apple Podcasts But if you prefer a written version, here you have it! You can watch it on YouTube: Or Listen to it as a podcast on: Spotify Apple Podcasts But if you prefer a written version, here you have it! What is DAGWorks?

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ML ML Data Scientist Machine Learning 52

Victor Zhou

MARCH 3, 2019

Here’s something that might surprise you: neural networks aren’t that complicated! The term “neural network” gets used as a buzzword a lot, but in reality they’re often much simpler than people imagine. We’ll understand how neural networks work while implementing one from scratch in Python. Let’s get started!

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Machine Learning Machine Learning Natural Language Processing Python 59

IBM Data Science in Practice

MARCH 21, 2023

Often, research teams do not generally consider the operationalization of models during creation. Often, research teams do not generally consider the operationalization of models during creation. In this blog, we go over a use case of an AI assisted image recognition process that consisted of many deep learning models.

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Deep Learning Deep Learning Machine Learning Machine Learning 130

Explosion

SEPTEMBER 17, 2013

But under-confident recommendations suck, so here’s how to write a good part-of-speech tagger. There are a tonne of “best known techniques” for POS tagging, and you should ignore the others and just use Averaged Perceptron. You should use two tags of history, and features derived from the Brown word clusters distributed here.

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Python Algorithm Natural Language Processing Supervised Learning 40

Ocean Protocol

SEPTEMBER 12, 2023

How to Earn - As a predictoor , trader , or data farmer - From earning to thriving ; early benchmarks 5. With them, one can take action and create value. Imagine them globally distributed , and censorship resistant. Let us begin. — A What is Predictoor? Powered by Ocean Protocol Contents 1. Motivation 2.

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Flipboard

OCTOBER 9, 2023

This lesson is the 2nd of a 3-part series on Docker for Machine Learning : Getting Started with Docker for Machine Learning Getting Used to Docker for Machine Learning (this tutorial) Lesson 3 To learn how to create a Docker Container for Machine Learning, just keep reading. It can also be used on Cloud-based providers (e.g.,

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Machine Learning Machine Learning Deep Learning Deep Learning 116

PyImageSearch

FEBRUARY 27, 2023

How Does JAX Handle Randomness? Summary Citation Information Learning JAX in 2023: Part 2 — JAX’s Power Tools grad , jit , vmap , and pmap In this tutorial, you will learn the power tools of JAX, grad , jit , vmap , and pmap. Table of Contents Learning JAX in 2023: Part 2 — JAX’s Power Tools grad , jit , vmap , and pmap ??

Machine Learning 107

Machine Learning Machine Learning Deep Learning Deep Learning 107

PyImageSearch

DECEMBER 19, 2022

This is the 2nd lesson in our 4-part series on OAK-101 : Introduction to OpenCV AI Kit (OAK) OAK-D: Understanding and Running Neural Network Inference with DepthAI API (today’s tutorial) OAK 101: Part 3 OAK 101: Part 4 To learn how DepthAI API works and run neural network inference on OAK-D, just keep reading.

Deep Learning 52

Deep Learning Deep Learning Python AI 52

AssemblyAI

AUGUST 15, 2023

In this tutorial, we will learn how to use LLMs to automatically summarize audio and video files with Python. We’ll use AssemblyAI for both of these steps, using the Conformer-2 model to transcribe the files and LeMUR to summarize them. We’ll use the AssemblyAI Python SDK in this tutorial.

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Python Algorithm Machine Learning Machine Learning 52

Mlearning.ai

MAY 15, 2023

Hey guys in this video we will see the best Python Interview Questions. Python has become one of the most popular programming languages in the world, thanks to its simplicity, versatility, and vast array of applications. As a result, Python proficiency has become a valuable skill sought after by employers across various industries.

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PyImageSearch

NOVEMBER 6, 2023

By the end, you’ll not only have a comprehensive understanding of U-Net’s capabilities but also a holistic view of the autoencoder universe. By the end, you’ll not only have a comprehensive understanding of U-Net’s capabilities but also a holistic view of the autoencoder universe.

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phData

MAY 11, 2023

Consider the scenario where you create a view in the database using your Development (DEV) environment. You want to use a column in a table that someone else created in DEV and has not moved to Production (PRD) yet. This is because databases and the data therein are constantly changing.

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Snorkel AI

MAY 3, 2023

In this article, we share our journey and hope that it helps you design better machine learning systems. In this article, we share our journey and hope that it helps you design better machine learning systems. Some background on Snorkel Snorkel Flow empowers enterprises to build and adapt foundation models.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 3, 2023

In this article, we share our journey and hope that it helps you design better machine learning systems. In this article, we share our journey and hope that it helps you design better machine learning systems. Some background on Snorkel Snorkel Flow empowers enterprises to build and adapt foundation models.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 3, 2023

In this article, we share our journey and hope that it helps you design better machine learning systems. In this article, we share our journey and hope that it helps you design better machine learning systems. Some background on Snorkel Snorkel Flow empowers enterprises to build and adapt foundation models.

ML 52

ML ML Machine Learning Machine Learning 52

Mlearning.ai

JANUARY 31, 2023

Photo by the author Recently I was given a Myo armband, and this article aims to describe how such a device could be exploited to control a robotic manipulator intuitively. I leave you the reference to the main project repository , the gesture recognition dataset repository , and the dataset itself. The Myo armband (left).

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Clustering Algorithm Machine Learning Machine Learning 52

PyImageSearch

MAY 15, 2023

In our previous OAK-102 series tutorial : We trained the YOLOv8 object detection model in the PyTorch framework using the Ultralytics repository. To perform hand gesture recognition on the OAK device , we would optimize the PyTorch model weights into the MyriadX blob file format using the Luxonis toolkit.

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Deep Learning Deep Learning Python Algorithm 102

BAIR

APRIL 6, 2023

Figure 1: “Interactive Fleet Learning” (IFL) refers to robot fleets in industry and academia that fall back on human teleoperators when necessary and continually learn from them over time. These robots use recent advances in deep learning to operate autonomously in unstructured environments.

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Algorithm Artificial Intelligence Artificial Intelligence Supervised Learning 98

Explosion

APRIL 1, 2017

This post is based on a talk I gave at “How AI Will Shape the Future of Work” at Founders in Copenhagen in January. This post is based on a talk I gave at “How AI Will Shape the Future of Work” at Founders in Copenhagen in January. You can view the slides here , or watch the video on Facebook. Try Prodigy!

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AWS Machine Learning Blog

NOVEMBER 30, 2023

These customers are choosing AWS because we are focused on doing what we’ve always done—taking complex and expensive technology that can transform customer experiences and businesses and democratizing it for customers of all sizes and technical abilities. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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The MLOps Blog

MAY 9, 2023

One of the most prevalent complaints we hear from ML engineers in the community is how costly and error-prone it is to manually go through the ML workflow of building and deploying models. It lets them focus more on deploying new models than maintaining existing ones. What is a machine learning pipeline?

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ML ML Machine Learning Machine Learning 98

Heartbeat

MAY 31, 2023

A full-code tutorial using Comet ML photo credit: Tensorflow.org Introduction In the era of big data, image compression has become essential for reducing storage and transmission costs without sacrificing image quality. Although these techniques are effective, they are limited by how much data they can compress.

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The MLOps Blog

DECEMBER 29, 2022

You can watch it on YouTube: Or listen to it as a podcast on: Spotify Apple Podcasts But if you prefer a written version, here it is! Kyle, to warm you up a little bit. How would you explain deploying models on GPU in one minute? How would you explain deploying models on GPU in one minute?

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ML ML Machine Learning Machine Learning 52

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. To do that, you’d need to take a systematic approach to MLOps —enter platforms! How to understand your users (data scientists, ML engineers, etc.).

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Machine Learning Machine Learning Data Scientist ML 69