Flipboard

JUNE 16, 2025

Cloud Computing: Platforms: Amazon Web Services (AWS), Azure, Google Cloud Skills: Docker, Kubernetes, and basic DevOps tools must be learnt to enhance employability. If undecided, begin with DSA and a versatile language like Python, which can later transition into ML or web development. 📣 Want to advertise in AIM?

Python 56

Python AWS Machine Learning Machine Learning 56

AWS Machine Learning Blog

MARCH 13, 2025

Lets start with a simple travel booking scenario: Your interaction begins with telling a travel planning agent about your desired trip. Essentially, the LLM is transforming your casual, conversational input into a structured set of travel requirements that can be used by the specialized booking agents in the subsequent steps of the workflow.

AI 95

AI AI AWS Artificial Intelligence 95

ODSC - Open Data Science

MARCH 18, 2025

With over 30 years in techincluding key roles at Hugging Face, AWS, and as a startup CTOhe brings unparalleled expertise in cloud computing and machine learning. Before Arize, Amber was a Product Manager of AI/ML at Splunk and Head of Artificial Intelligence at Insight Data Science.

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

Hacker News

JULY 1, 2025

Good at Go, Kubernetes (Understanding how to manage stateful services in a multi-cloud environment) We have a Python service in our Recommendation pipeline, so some ML/Data Science knowledge would be good. ML Engineer: ML Engineer to support our benchmarking and evaluation of AI software stack.

Python 100

Python AWS ML ML 100

Analytics Vidhya

JULY 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine learning is a fascinating field and everyone wants to. The post Python on Frontend: ML Models Web Interface With Brython appeared first on Analytics Vidhya.

ML 400

ML ML Python Machine Learning 400

Flipboard

APRIL 16, 2025

Embeddings enable machine learning (ML) models to effectively process and understand relationships within complex data, leading to improved performance on various tasks like natural language processing and computer vision. She enjoys immersing herself in cinema, live music performances, and books.

AWS 109

AWS Database AI AI 109

Dataconomy

MAY 2, 2023

What do machine learning engineers do: ML engineers design and develop machine learning models The responsibilities of a machine learning engineer entail developing, training, and maintaining machine learning systems, as well as performing statistical analyses to refine test results. Is ML engineering a stressful job?

ML 110

ML ML Machine Learning Machine Learning 110

AWS Machine Learning Blog

MAY 7, 2024

Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects. We work together with your team and your chosen member of the AWS Partner Network (APN) to implement your enterprise cloud computing initiatives.

AWS 132

AWS ML ML Machine Learning 132

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. SaaS offers businesses cloud-native app capabilities, but AI and ML turn the data generated by SaaS apps into actionable insights.

Analytics 94

Analytics Analytics AI AI 94

O'Reilly Media

SEPTEMBER 19, 2023

Cloud computing? It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Next up is compute power.

Hadoop 135

Hadoop Algorithm ML ML 135

AWS Machine Learning Blog

MARCH 14, 2024

The computational cost alone can easily run into the millions of dollars to train models with hundreds of billions of parameters on massive datasets using thousands of GPUs or TPUs. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.

AWS 135

AWS AI AI ML 135

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. Our speakers lead their fields and embody the desire to create revolutionary ML experiences by leveraging the power of data-centric AI to drive innovation and progress.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Data Science 101

OCTOBER 15, 2023

With the tech layoffs occurring earlier this year, I’ve been thinking about ways to assist experienced and emerging tech talent to transition into the quantum computing field. You can engage, learn, and connect, without needing any of the commercial stress that keeps product teams up at night What hardware is being used for quantum computing?

Cloud Computing 107

Cloud Computing ML ML Algorithm 107

Dataconomy

APRIL 4, 2024

The software you’re familiar with today – the stuff that sends messages, or adds up numbers, or books something in a calendar, or even powers a video call – is deterministic. Hardware is everywhere : GPUs from gaming, Apple’s M-series chips and cloud computing make immense computing resources trivially easy to deploy.

Algorithm 103

Algorithm AI AI Decision Trees 103

AWS Machine Learning Blog

JULY 10, 2024

During the last 18 months, we’ve launched more than twice as many machine learning (ML) and generative AI features into general availability than the other major cloud providers combined. This is part of our broader commitment to provide free cloud computing skills training to 29 million people worldwide by 2025.

AWS 142

AWS Machine Learning Machine Learning Database 142

ODSC - Open Data Science

JANUARY 6, 2025

Allen Downey, PhD, Curriculum Designer at Brilliant.org and Professor Emeritus at OlinCollege Allen has authored influential books like Think Python and Think Bayes, which have shaped how learners approach programming and Bayesian statistics. Jon Krohn, Chief Data Scientist at Nebula.io Julien Simon, Chief Evangelist atArcee.ai

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Once a decision is made, the generative AI conversational bot decides whether to book an appointment, provide more information, or route the customer to the contact center for further assistance. She is interested to learn more about AI/ML and utilizing AWS services to discover solutions customers can benefit from.

AWS 123

AWS AI AI Data Silos 123

O'Reilly Media

APRIL 4, 2024

Reid Hoffman called this pattern “ blitzscaling ,” claiming in the subtitle of his book with that name that it is “The Lightning-Fast Path to Building Massively Valuable Companies.” I disagree.

AI 94

AI AI Cloud Computing Artificial Intelligence 94

ODSC - Open Data Science

SEPTEMBER 12, 2024

Machine Learning and Data Science: Academia vs. Industry In this article, we compiled a list of the top five problems that every ML specialist faces only on the job, highlighting the gap between university curriculum and real-world practice. US Proposes Mandatory Reporting for AI and Cloud Providers The U.S. Register now for 50% off!

Data Visualization 40

Data Visualization Data Science AI AI 40

IBM Journey to AI blog

JULY 26, 2023

The twin will continuously collect data from the physical asset and use predictive analytics and machine learning (ML) algorithms to predict future performance. To find out how, book a live demo with an IBM expert The post 10 ways the oil and gas industry can leverage digital twin technology appeared first on IBM Blog.

Internet of Things 67

Internet of Things Machine Learning Machine Learning Cloud Computing 67

AWS Machine Learning Blog

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. He is co-author of the O’Reilly Book, “Data Science on AWS.”

AWS 97

AWS Data Science Machine Learning Machine Learning 97

Heartbeat

OCTOBER 9, 2023

Then, computer vision algorithms are used to improve the legibility and clarity of the collected photographs. One of the most challenging elements of scanning old books is dealing with fading or deteriorated text. Computer vision algorithms use techniques like noise reduction to improve the visibility of faded or illegible writing.

Algorithm 52

Algorithm Deep Learning Deep Learning Machine Learning 52

Hacker News

JULY 27, 2025

There is a sticker book (cartoon image search), and a quiz creator. reply malshe 2 hours ago | parent | prev | next [–] Congratulations on the book release. You can vibe-code apps in your notebook, use your notebook's underlying filesystem, and serve apps to the public, all from your new cloud computer. Yes, I agree.

AI 50

AI AI SQL Database 50