Snorkel AI

MAY 3, 2023

Sharon Li is an assistant professor at the University of Wisconsin-Madison. She presented “Detecting Data Distributional Shift: Challenges and Opportunities” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. The talk covered a novel approach for handling out-of-distribution objects. A transcript of her talk follows.

Machine Learning 52

Machine Learning Neural Network Explainability Data Scientist 52

BAIR

APRIL 29, 2022

This post expands on our recent whitepaper and research paper , where we aim to illustrate the different modalities harms can take when augmented with the temporal axis of RL. The focus of these research efforts to date has been to account for shortcomings of datasets or supervised learning practices that can harm individuals.

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Robotics Machine Learning Computer Vision ML 147

PyImageSearch

APRIL 3, 2023

In the previous tutorial of this series, we learned to train a custom image classification network for OAK-D using the TensorFlow framework. The converted blob file would then run image classification inference on the OAK-D using the DepthAI API. Looking for the source code to this post? computer vision) on a daily basis.

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Neural Network Computer Vision Deep Learning AI 64

The MLOps Blog

MARCH 15, 2023

Based on the McKinsey survey , 56% of orgs today are using machine learning in at least one business function. It’s clear that the need for efficient and effective MLOps and CI/CD practices is becoming increasingly vital. This article is a real-life study of building a CI/CD MLOps pipeline. I would say the same happened in our case.

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ETL Data Drift Machine Learning ML 52

AssemblyAI

JUNE 27, 2023

This blog post is part of a series on generative AI. Why is audio generation hard? Why is audio generation hard? Over the past decade, we've witnessed significant advancements in AI-powered audio generation techniques, including music and speech synthesis. This trend has recently begun to shift.

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Towards AI

AUGUST 8, 2023

I am currently developing an Audio Speech Recognition system, so I needed to brush up my knowledge on the basics regarding it. This article is the result of that. wav.flac(free lossless audio codec).mp3 wav.flac(free lossless audio codec).mp3 The soundwave is then converted into an electrical signal.

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Machine Learning Algorithm AI AI 94

AssemblyAI

MAY 17, 2023

How do these models actually work, and why are they so capable? In this article, part of our Everything you need to know about Generative AI series, we will answer these questions and more. Generative AI has made great strides in the language domain. What is behind this recent wave of progress? What are Language Models?

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Large Language Models Generative AI AI AI 298

AssemblyAI

MARCH 7, 2023

As LLMs are scaled they hit a series of critical scales at which new abilities are suddenly “unlocked” LLMs are not directly trained to have these abilities, and they appear in rapid and unpredictable ways as if emerging out of thin air. 0:00 / 1× As Language Models grow, novel abilities suddenly appear [ 8 ].

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Large Language Models OpenAI Neural Network AI 363

Artificial Corner

AUGUST 16, 2023

Data Visualisation: Empowering Business with Effective Insights Walkthrough of my experience with TATA Group’s Virtual Experience Programme Photo by Clay Banks on Unsplash For those facing difficulties in building a portfolio to land a job in Data Analytics, let me share with you something I recently discovered!

Data Analysis 52

Data Analysis 52

Viso.ai

APRIL 10, 2024

Viso Suite is the Computer Vision Enterprise Platform The core of Pandas Library Pandas offers two primary data structures: Series (one-dimensional) and DataFrame (two-dimensional). Each element in the Series has a corresponding label, providing a way to access and reference data. To learn more, book a demo with our team.

Data Analysis 52

Data Analysis Python Machine Learning Data Scientist 52

Mlearning.ai

JULY 20, 2023

In case you missed it, make sure you catch part 1 of this series- A Neuroscientists view into Improving Neural Networks - where we talked about the biological basis of bilaterality and how the asymmetric nature of our brains leads to greater performance. If any of you want to work on this, you know how to reach me.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Software Engineer 52

Artificial Corner

JUNE 13, 2023

I realise this isn’t ground breaking stuff and it’s not showing some highfalutin function in python that’ll blow your socks off. I realise this isn’t ground breaking stuff and it’s not showing some highfalutin function in python that’ll blow your socks off. Preparation I’ll be using Jupyter notebook and Python 3.11. for that environment.

Python 98

Python Data Extraction ChatGPT Data Science 98

AssemblyAI

MAY 23, 2023

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. From copywriting to brainstorming, customer service, email streamlining, the potential applications span vastly different areas. ChatGPT reached an estimated 100 million users in just 2 months ( source ).

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The MLOps Blog

OCTOBER 20, 2023

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. But first, we need to understand why notebooks were established in the scientific community. Jupyter notebooks have been one of the most controversial tools in the data science community.

Data Scientist 52

Data Scientist Python Explainability ETL 52

AWS Machine Learning Blog

NOVEMBER 10, 2023

Creating high-performance machine learning (ML) solutions relies on exploring and optimizing training parameters, also known as hyperparameters. Hyperparameters are the knobs and levers that we use to adjust the training process, such as learning rate, batch size, regularization strength, and others, depending on the specific model and task at hand.

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ML Algorithm Auto-complete Python 88

Mlearning.ai

MAY 23, 2023

To land a coveted data science role, you must excel in the interview process, which often includes a series of challenging questions to assess your technical skills, problem-solving abilities, and domain knowledge. Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year].

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Data Science Neural Network Deep 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. What is Python?

Python 52

Python Explainability Data Analysis ML 52

AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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Large Language Models Neural Network LLM Chatbots 363

DataRobot Blog

OCTOBER 11, 2022

Additionally, F1 has a long tradition of pushing the limits of racing and continuous innovation and is one of the most competitive sports on the planet – which is why I like it even more! Let’s begin! So how can AI/ML help McLaren Formula 1 Team, one of the sports oldest and most successful teams, in this space? And what are the stakes?

ML 52

ML Machine Learning Algorithm Automation 52

Heartbeat

JULY 27, 2023

Note: This is the second part of a two part series. Protobufs for TFRecords So why the heck did I just spend all that time covering protobufs. You can read more about the “oneof” keyword here But wait, why did I create the individual protos of ByteList, FloatList, and Int64List just to wrap them in yet another proto?

Deep Learning 52

Deep Learning Metadata Python Explainability 52

PyImageSearch

JULY 17, 2023

This lesson is the 2nd of a 4-part series on Autoencoders : Introduction to Autoencoders Implementing a Convolutional Autoencoder with PyTorch (this tutorial) Lesson 3 Lesson 4 To learn to train convolutional autoencoders in PyTorch with post-training embedding analysis on the Fashion-MNIST dataset, just keep reading.

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Computer Vision Deep Learning Python Machine Learning 98

AWS Machine Learning Blog

JULY 31, 2023

Gaining insights into why customers leave can be just as crucial for sustaining profits and revenue. If you are a business analyst, understanding customer behavior is probably one of the most important things you care about. Understanding the reasons and mechanisms behind customer purchase decisions can facilitate revenue growth.

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Auto-classification Machine Learning ML Auto-complete 80

The MLOps Blog

JANUARY 19, 2024

Imagine you’re facing the following challenge: you want to develop a Large Language Model (LLM) that can proficiently respond to inquiries in Portuguese. You have a valuable dataset and can choose from various base models. How do you decide on the right model to use in this scenario? The workflow we’ll implement. Transformers architecture.

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LLM Auto-complete Large Language Models Natural Language Processing 52

The MLOps Blog

JUNE 6, 2023

Bookmark for later Building MLOps Pipeline for NLP: Machine Translation Task [Tutorial] Building MLOps Pipeline for Time Series Prediction [Tutorial] Why do we need a model training pipeline? 2 Creating a centralized source of truth for experiments, fostering collaboration and organization.

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