Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

ML 152

ML DevOps Data Scientist ML Engineer 152

AI News

MARCH 8, 2024

(open as in open-source, not as in Open AI) Looking for engineers to build real robots in Paris ?? ” The role involves collaborating with ML engineers, researchers, and product teams to develop innovative robotics solutions that “push the boundaries of what’s possible in robotics and AI.”

Robotics 314

Robotics Big Data Deep Learning Machine Learning 314

AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries.

ML 131

ML Data Scientist ML Engineer Data Science 131

Unite.AI

JUNE 29, 2023

Business leaders in today's tech and startup scene know the importance of mastering AI and machine learning. However, developing these AI technologies and using tools such as Google Maps API for business purposes can be time-consuming and expensive. In such scenarios, using pre-trained APIs presents a fast and cost-friendly solution.

Machine Learning 262

Machine Learning ML AI AI 262

Towards AI

AUGUST 7, 2024

Last Updated on August 8, 2024 by Editorial Team Author(s): Gift Ojeabulu Originally published on Towards AI. Why VS Code might be better for many data scientists and ML engineers than Jupyter Notebook. Essential VS Code Extensions for Data Scientists and ML Engineers.

Data Science 116

Data Science ML ML Engineer Data Scientist 116

IBM Journey to AI blog

AUGUST 12, 2024

AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps). ML technologies help computers achieve artificial intelligence.

Big Data 266

Big Data DevOps Automation Machine Learning 266

TheSequence

FEBRUARY 19, 2024

Join the next apply() virtual conference on Wednesday, April 3, for a free event that brings together the engineering community to master AI and ML in production. Since 2021, apply() has hosted more than 24,000 people with a single purpose: helping people advance their skills and expertise in AI/ML.

ML Engineer 52

ML Engineer ML AI AI 52

Marktechpost

SEPTEMBER 25, 2024

With the rapid advancement of technology, surpassing human abilities in tasks like image classification and language processing, evaluating the energy impact of ML is essential. Historically, ML projects prioritized accuracy over energy efficiency, contributing to increased energy consumption.

Machine Learning 103

Machine Learning ML Software Engineer ML Engineer 103

Flipboard

DECEMBER 12, 2023

Whether you're a seasoned ML engineer or a new LLM developer, these tools will help you get more productive and accelerate the development and deployment of your AI projects.

LLM 165

LLM ML Engineer ML AI 165

Flipboard

FEBRUARY 13, 2025

AI/ML engineers would prefer to focus on model training and data engineering, but the reality is that we also need to understand the infrastructure and mechanics […]

Machine Learning 134

Machine Learning ML Engineer ML AI 134

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

ML 103

ML Data Scientist Machine Learning Software Engineer 103

TheSequence

MARCH 8, 2024

Join industry leaders from LangChain, Meta, and Visa for insights to master AI and ML in production. VEW SPEAKER LINEUP Here’s a sneak peek of the agenda: LangChain Keynote: Hear from Lance Martin, an ML leader at LangChain, a leading orchestration framework for large language models (LLMs).

ML Engineer 52

ML Engineer ML Large Language Models Data Scientist 52

AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

ML 128

ML Python Deep Learning Machine Learning 128

TheSequence

NOVEMBER 3, 2023

Join the global ML community at this virtual event—speakers from companies like HelloFresh, Lidl Digital, Meta, PepsiCo, Riot Games, and more will share best practices around building platforms and architectures for production ML. apply(ops) is just around the corner!

ML Engineer 52

ML Engineer ML Software Engineer Data Scientist 52

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 111

Machine Learning OpenAI ML Engineer ML 111

AWS Machine Learning Blog

APRIL 26, 2023

Do you need help to move your organization’s Machine Learning (ML) journey from pilot to production? Most executives think ML can apply to any business decision, but on average only half of the ML projects make it to production. Challenges Customers may face several challenges when implementing machine learning (ML) solutions.

ML 113

ML Machine Learning Data Science Data Drift 113

Unite.AI

FEBRUARY 11, 2025

AI adoption is booming, yet the lack of comprehensive evaluation tools leaves teams guessing about model failures, leading to inefficiencies and prolonged iteration cycles. Future AGI is tackling this problem head-on with the launch of its AI lifecycle management platform, designed to help enterprises achieve 99% accuracy in AI applications.

Auto-complete 147

Auto-complete ML Engineer AI AI 147

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. What is MLOps?

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Towards AI

FEBRUARY 11, 2025

Last Updated on February 12, 2025 by Editorial Team Author(s): Harshit Kandoi Originally published on Towards AI. 🚀 MLflow Experiment Tracking: The Ultimate Beginners Guide to Streamlining ML Workflows Photo by Alvaro Reyes on Unsplash Introduction Have you ever felt that you were losing command over your machine-learning projects?

ML 76

ML Machine Learning Data Scientist ML Engineer 76

Unite.AI

JUNE 19, 2024

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. As businesses across industries increasingly embrace AI and ML to gain a competitive edge, the demand for MLOps Engineers has skyrocketed.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

AWS Machine Learning Blog

DECEMBER 12, 2024

The new SDK is designed with a tiered user experience in mind, where the new lower-level SDK ( SageMaker Core ) provides access to full breadth of SageMaker features and configurations, allowing for greater flexibility and control for ML engineers. In the following example, we show how to fine-tune the latest Meta Llama 3.1

ML 99

ML Python Data Scientist Natural Language Processing 99

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Akhil Theerthala Originally published on Towards AI. How to Maximize ML Project Success with Efficient Scoping? | In Aug 2022, Forbes stated that somewhere between 60–80% of AI projects are failing, according to different sources. Step-2: Brainstorm AI solutions.

ML 98

ML Machine Learning ML Engineer Explainability 98

Unite.AI

FEBRUARY 12, 2025

Small manufacturers are increasingly using AI in manufacturing to streamline operations and remain competitive. AI can significantly improve manufacturing functions like production scheduling, maintenance, supply chain planning, and quality control. What sets Katana apart is its use of smart features and AI to boost efficiency.

AI Tools 260

AI Tools Machine Learning Auto-complete AI 260

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Towards AI

FEBRUARY 13, 2023

Last Updated on February 13, 2023 by Editorial Team Author(s): Akhil Theerthala Originally published on Towards AI. In Aug 2022, Forbes stated that somewhere between 60–80% of AI projects are failing, according to different sources. What can you recommend to him as an ML Engineer? A better search engine for his site.

ML 97

ML Machine Learning ML Engineer Explainability 97

Flipboard

FEBRUARY 28, 2023

More posts by this contributor 4 questions to ask before building a computer vision model During the past six months, we have witnessed some incredible developments in AI. These advancements in generative AI offer further evidence that we’re on the precipice of an AI revolution. What is active learning?

Generative AI 131

Generative AI ML Engineer Computer Vision Robotics 131

Towards AI

MARCH 14, 2024

Last Updated on March 14, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. I mean, ML engineers often spend most of their time handling and understanding data. So, how is a data scientist different from an ML engineer? Join thousands of data leaders on the AI newsletter.

Data Science 105

Data Science ML Engineer Data Scientist ML 105

AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Music uses the power of AI to accomplish this. However, optimizing the customer experience while managing cost of training and inference of AI models that power the search bar’s capabilities, like real-time spellcheck and vector search, is difficult during peak traffic times.

ML 115

ML Deep Learning Machine Learning DevOps 115

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Machine learning (ML) projects are inherently complex, involving multiple intricate steps—from data collection and preprocessing to model building, deployment, and maintenance. To start our ML project predicting the probability of readmission for diabetes patients, you need to download the Diabetes 130-US hospitals dataset.

ML 88

ML Computer Vision Data Scientist Machine Learning 88

AWS Machine Learning Blog

JUNE 25, 2024

This solution simplifies the integration of advanced monitoring tools such as Prometheus and Grafana, enabling you to set up and manage your machine learning (ML) workflows with AWS AI Chips. By deploying the Neuron Monitor DaemonSet across EKS nodes, developers can collect and analyze performance metrics from ML workload pods.

ML 93

ML Metadata Software Development Generative AI 93

AWS Machine Learning Blog

JUNE 9, 2023

a low-code enterprise graph machine learning (ML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. With GraphStorm, we release the tools that Amazon uses internally to bring large-scale graph ML solutions to production. license on GitHub. GraphStorm 0.1

ML 103

ML Machine Learning BERT Neural Network 103

Unite.AI

NOVEMBER 10, 2023

As a result of this, integrating AI into their companies has become an utmost priority for many founders. Even individuals are looking for ways to leverage AI to improve their personal lives. For example, CNET experimented with AI-written articles , and they turned out to be full of flaws. It will work like this.

AI 182

AI AI ML Chatbots 182

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 129

Machine Learning ML Engineer DevOps ML 129

AWS Machine Learning Blog

JULY 8, 2024

As industries begin adopting processes dependent on machine learning (ML) technologies, it is critical to establish machine learning operations (MLOps) that scale to support growth and utilization of this technology. There were noticeable challenges when running ML workflows in the cloud.

Data Scientist 118

Data Scientist ML Engineer Machine Learning Data Science 118

Towards AI

FEBRUARY 15, 2024

Author(s): Jennifer Wales Originally published on Towards AI. AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job.

AI Engineer 111

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 111

AWS Machine Learning Blog

FEBRUARY 7, 2025

This post, part of the Governing the ML lifecycle at scale series ( Part 1 , Part 2 , Part 3 ), explains how to set up and govern a multi-account ML platform that addresses these challenges. An enterprise might have the following roles involved in the ML lifecycles. This ML platform provides several key benefits.

ML 62

ML Data Scientist ML Engineer Data Science 62

Towards AI

NOVEMBER 8, 2024

Last Updated on November 9, 2024 by Editorial Team Author(s): Houssem Ben Braiek Originally published on Towards AI. Data preparation isn’t just a part of the ML engineering process — it’s the heart of it. Data is a key differentiator in ML projects (more on this in my blog post below). Published via Towards AI

Data Ingestion 111

Data Ingestion Metadata ML Engineer ML 111