TheSequence

MAY 24, 2023

As the book came to an end Lewis and I joined Hugging Face. Since then, I worked as a Machine Learning Engineer in both the open-source and research team working on projects such as Evaluate, TRL, CodeParrot and recently co-leading BigCode research collaboration. Why are there two models, and what are the key differences between them?

Auto-complete 59

Auto-complete Python ML BERT 59

Viso.ai

MARCH 29, 2024

MLflow is an open-source platform designed to manage the entire machine learning lifecycle, making it easier for ML Engineers, Data Scientists, Software Developers, and everyone involved in the process. Machine learning operations (MLOps) are a set of practices that automate and simplify machine learning (ML) workflows and deployments.

Machine Learning 52

Machine Learning ML Automation Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

It also integrates with Machine Learning and Operation (MLOps) workflows in Amazon SageMaker to automate and scale the ML lifecycle. Q&A -­ Measures how well the model performs in both the closed-book and the open-book setting. What is FMEval? How can you get started?

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Large Language Models Algorithm LLM Responsible AI 114

O'Reilly Media

OCTOBER 19, 2021

All ML projects are software projects. If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. Adapted from the book Effective Data Science Infrastructure. Data is at the core of any ML project, so data infrastructure is a foundational concern.

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DevOps Software Engineer Data Scientist ML 140

Viso.ai

FEBRUARY 27, 2024

Since its inception in 2015, the YOLO (You Only Look Once) object-detection algorithm has been closely followed by tech enthusiasts, data scientists, ML engineers, and more, gaining a massive following due to its open-source nature and community contributions. For instance, the YOLOv8m has a 50.2 mAP score at 1.83

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Neural Network Computer Vision Convolutional Neural Networks Python 52

The MLOps Blog

JANUARY 24, 2024

PyMC and ArviZ are an excellent pairing of open-source Python libraries for modeling and visualizing Bayesian models. PyMC is a powerful and well-maintained Python library that we can use for Bayesian inference. For the following code examples, I assume you have a Python >=3.10 Aside neptune.ai

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Metadata Python Data Scientist ML 59

Bugra Akyildiz

MAY 14, 2023

models may have arbitrary topologies and make use of arbitrary packages from the python ecosystem. The Python scientific visualisation landscape is huge. This book is organized into four parts. Padl is a pipeline builder for PyTorch. can be used with all of the great PyTorch functionality you’re used to for writing layers.

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Auto-classification LLM ML OpenAI 52

AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers to explain the predictions of their ML models.

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Explainability Natural Language Processing Algorithm Machine Learning 83

Chatbots Life

MAY 12, 2023

We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers. Will ChatGPT replace software engineers? Will ChatGPT replace ML Engineers? We can ask the model to generate a python function or a recipe for a cheesecake. Will ChatGPT replace ML Engineers?

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ChatGPT Software Engineer NLP Prompt Engineer 105

AWS Machine Learning Blog

FEBRUARY 5, 2024

SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. This notebook enables direct visualization and processing of geospatial data within a Python notebook environment. In this post, we explore how HSR.

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ML Machine Learning Python Software Engineer 110

Viso.ai

JANUARY 30, 2024

It enables enterprises to create and implement computer vision solutions , featuring built-in ML tools for data collection, annotation, and model training. Learn more about Viso Suite and book a demo. Platforms like R and scikit-learn in Python are useful here.

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Data Drift Machine Learning Computer Vision Algorithm 52

The MLOps Blog

AUGUST 3, 2023

This is Piotr Niedźwiedź and Aurimas Griciūnas from neptune.ai , and you’re listening to ML Platform Podcast. Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. You could almost think of Hamilton as DBT for Python functions. Piotr: This is procedural Python code.

ML 52

ML Data Scientist Software Engineer Python 52

The MLOps Blog

OCTOBER 3, 2023

How did you manage to jump from a more analytical, scientific type of role to a more engineering one? I actually did not pick up Python until about a year before I made the transition to a data scientist role. I see so many of these job seekers, especially on the MLOps side or the ML engineer side. It’s two things.

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ML Data Scientist Machine Learning Data Science 52

AWS Machine Learning Blog

APRIL 29, 2024

Second, open source Metaflow provides the necessary software infrastructure to build production-grade ML/AI systems in a developer-friendly manner. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability.

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ML Python Data Scientist Deep Learning 126