Flipboard

MAY 31, 2023

Learn how to easily build any AI model and customize your own LLM in just a few lines of code with a declarative approach to machine learning.

ML Engineer 132

ML Engineer ML Machine Learning LLM 132

Unite.AI

SEPTEMBER 3, 2024

Computational power has become a critical factor in pushing the boundaries of what's possible in machine learning. As models grow more complex and datasets expand exponentially, traditional CPU-based computing often falls short of meeting the demands of modern machine learning tasks.

Machine Learning 130

Machine Learning Convolutional Neural Networks Neural Network Algorithm 130

Marktechpost

OCTOBER 10, 2024

In today’s tech-driven world, data science and machine learning are often used interchangeably. This article explores the differences between data science vs. machine learning , highlighting their key functions, roles, and applications. What is Machine Learning? However, they represent distinct fields.

Data Science 110

Data Science Machine Learning Data Scientist ML Engineer 110

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

Machine Learning 135

Machine Learning ML Engineer DevOps ML 135

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.

Machine Learning 153

Machine Learning Computer Vision Deep Learning Python 153

Towards AI

JULY 2, 2024

What are the most important skills for an ML Engineer? Well, I asked ML engineers at all these companies to share what they consider the top skills… And I’m telling you, there were a lot of answers I received and I bet you didn’t even think of many of them!

ML Engineer 98

ML Engineer ML Software Engineer Python 98

Marktechpost

OCTOBER 12, 2024

Machine Learning (ML) models have shown promising results in various coding tasks, but there remains a gap in effectively benchmarking AI agents’ capabilities in ML engineering. MLE-bench is a novel benchmark aimed at evaluating how well AI agents can perform end-to-end machine learning engineering.

Machine Learning 116

Machine Learning OpenAI ML Engineer ML 116

Marktechpost

JANUARY 31, 2024

Data scientists and ML engineers often need help to build full-stack applications. Still, they may need more skills or time to learn new languages or frameworks to create user-friendly web applications. It is a Python-based framework for data scientists and machine learning engineers.

Data Scientist 135

Data Scientist Machine Learning Python ML Engineer 135

Towards AI

FEBRUARY 21, 2023

We observe that the main agents at the moment for AI progression are people working in machine learning as engineers and researchers. A sensible proxy sub-question might then be: Can ChatGPT function as a competent machine learning engineer? ChatGPT’s job as our ML engineer […]

ML Engineer 98

ML Engineer ML ChatGPT Computer Vision 98

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.

Machine Learning 139

Machine Learning DevOps Data Scientist Data Quality 139

Towards AI

APRIL 4, 2023

SAN JOSE, CA (April 4, 2023) — Edge Impulse, the leading edge AI platform, today announced Bring Your Own Model (BYOM), allowing AI teams to leverage their own bespoke ML models and optimize them for any edge device. Praise Edge Impulse and its new features are garnering accolades from industry leaders.

ML Engineer 98

ML Engineer ML Python Neural Network 98

Analytics Vidhya

OCTOBER 6, 2023

Ray streamlines complex tasks for ML engineers, data scientists, and developers. Its versatility spans data processing, model training, hyperparameter tuning, deployment, and reinforcement learning. Python Ray is a dynamic framework revolutionizing distributed computing.

Python 343

Python ML Engineer Data Scientist ML 343

Analytics Vidhya

FEBRUARY 21, 2022

Image designed by the author – Shanthababu Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). Make it simple, for every […].

ML Engineer 337

ML Engineer Data Scientist Deep Learning Data Science 337

ODSC - Open Data Science

SEPTEMBER 21, 2023

The majority of us who work in machine learning, analytics, and related disciplines do so for organizations with a variety of different structures and motives. The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition.

Machine Learning 98

Machine Learning ML Engineer ML Data Science 98

Marktechpost

JANUARY 10, 2024

Automated Machine Learning (AutoML) has been introduced to address the pressing need for proactive and continual learning in content moderation defenses on the LinkedIn platform. It is a framework for automating the entire machine-learning process, specifically focusing on content moderation classifiers.

Machine Learning 104

Machine Learning Continuous Learning ML Engineer Automation 104

AI News

JULY 28, 2023

AI and machine learning are reshaping the job landscape, with higher incentives being offered to attract and retain expertise amid talent shortages. According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years.

ML 226

ML ML Engineer Data Science Big Data 226

AWS Machine Learning Blog

SEPTEMBER 18, 2023

Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines are used to train a single model. Take action today and unlock the full potential of your ML projects!

Machine Learning 134

Machine Learning ML Python Auto-complete 134

ODSC - Open Data Science

FEBRUARY 9, 2023

That responsibility usually falls in the hands of a role called Machine Learning (ML) Engineer. Having empathy for your ML Engineering colleagues means helping them meet operational constraints. To continue with this analogy, you might think of the ML Engineer as the data scientist’s “editor.”

Data Scientist 105

Data Scientist Machine Learning ML Engineer ML 105

Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

Machine Learning 123

Machine Learning BERT Deep Learning ML Engineer 123

IBM Journey to AI blog

AUGUST 12, 2024

Instead, businesses tend to rely on advanced tools and strategies—namely artificial intelligence for IT operations (AIOps) and machine learning operations (MLOps)—to turn vast quantities of data into actionable insights that can improve IT decision-making and ultimately, the bottom line.

Big Data 266

Big Data DevOps Automation Machine Learning 266

AWS Machine Learning Blog

OCTOBER 19, 2023

Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. For many industries, data that is useful for machine learning (ML) may contain personally identifiable information (PII).

Machine Learning 125

Machine Learning Python ML Automation 125

Marktechpost

AUGUST 8, 2023

In the ever-evolving landscape of machine learning, feature management has emerged as a key pain point for ML Engineers at Airbnb. Chronon enables users to generate thousands of features to power ML models effortlessly by simplifying feature engineering.

Machine Learning 98

Machine Learning ML Engineer Data Ingestion ML 98

AWS Machine Learning Blog

OCTOBER 1, 2024

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. These services play a pivotal role in addressing diverse customer needs across the generative AI journey.

Data Science 99

Data Science Machine Learning Generative AI Data Scientist 99

Marktechpost

SEPTEMBER 25, 2024

For ML engineers, a decision tree guides the selection of techniques based on priorities like inference time, accuracy, energy consumption, and economic impact. The findings underscore dynamic quantization’s efficiency, particularly for smaller and less popular models.

Machine Learning 105

Machine Learning ML Software Engineer ML Engineer 105

Unite.AI

JUNE 29, 2023

Business leaders in today's tech and startup scene know the importance of mastering AI and machine learning. By tapping into AI and machine learning services offered by cloud providers, businesses can unlock fresh growth opportunities, automate their processes, and steer their cost-cutting initiatives.

Machine Learning 262

Machine Learning ML AI AI 262

ODSC - Open Data Science

JUNE 6, 2023

Be sure to check out their talk, “ Getting Up to Speed on Real-Time Machine Learning ,” there! The benefits of real-time machine learning are becoming increasingly apparent. This is due to a deep disconnect between data engineering and data science practices.

Machine Learning 90

Machine Learning ML Engineer Neural Network Data Science 90

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others.

Machine Learning 122

Machine Learning Auto-complete ML Data Scientist 122

Snorkel AI

APRIL 27, 2023

Here at Snorkel AI, we devote our time to building and maintaining our machine-learning development platform, Snorkel Flow. Snorkel Flow handles intense machine learning workloads, and we’ve built our infrastructure on a foundation of Kubernetes—which was not designed with machine learning in mind.

Machine Learning 97

Machine Learning ML AI AI 97

Snorkel AI

APRIL 27, 2023

Here at Snorkel AI, we devote our time to building and maintaining our machine-learning development platform, Snorkel Flow. Snorkel Flow handles intense machine learning workloads, and we’ve built our infrastructure on a foundation of Kubernetes—which was not designed with machine learning in mind.

Machine Learning 96

Machine Learning ML AI AI 96

AWS Machine Learning Blog

SEPTEMBER 29, 2023

In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Identifying crop regions is a core step towards gaining agricultural insights, and the combination of rich geospatial data and ML can lead to insights that drive decisions and actions.

Machine Learning 138

Machine Learning Data Scientist ML Python 138

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

AWS Machine Learning Blog

DECEMBER 4, 2024

Our customers want a simple and secure way to find the best applications, integrate the selected applications into their machine learning (ML) and generative AI development environment, manage and scale their AI projects. This increases the time it takes for customers to go from data to insights. You can find him on LinkedIn.

ML 138

ML Generative AI Data Scientist ML Engineer 138

AWS Machine Learning Blog

MARCH 30, 2023

The result is a machine learning (ML)-powered insight that allows fans to easily evaluate and compare the goalkeepers’ proficiencies. He enables customers in the area of spectator sports to innovate and capitalize on their data, delivering high-quality user and fan experiences through machine learning and data science.

Machine Learning 100

Machine Learning Data Scientist ML Data Science 100

AWS Machine Learning Blog

APRIL 25, 2023

In this release, you can run your local machine learning (ML) Python code as a single-node Amazon SageMaker training job or multiple parallel jobs. This allows ML engineers and admins to configure these environment variables so data scientists can focus on ML model building and iterate faster.

Machine Learning 103

Machine Learning Data Scientist Python ML 103

Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. billion by 2031, growing at a CAGR of 34.20%.

Machine Learning 52

Machine Learning Neural Network ML Engineer Algorithm 52

Marktechpost

OCTOBER 11, 2023

The team started with a collection of 15 ML engineering projects spanning various fields, with experiments that are quick and cheap to run. The post Researchers from Stanford University Propose MLAgentBench: A Suite of Machine Learning Tasks for Benchmarking AI Research Agents appeared first on MarkTechPost.

Machine Learning 105

Machine Learning AI Research AI Researcher Convolutional Neural Networks 105

Towards AI

AUGUST 7, 2024

From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams Photo by Parabol | The Agile Meeting Toolbox on Unsplash In this article, we will explore the essential VS Code extensions that enhance productivity and collaboration for data scientists and machine learning (ML) engineers.

Data Science 116

Data Science ML ML Engineer Data Scientist 116