ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

ML 98

ML ML Data Silos Data Quality 98

AWS Machine Learning Blog

MAY 10, 2024

In today’s technological landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly accessible, enabling builders of all skill levels to harness their power. And that’s where AWS DeepRacer comes into play—a fun and exciting way to learn ML fundamentals.

AWS 123

AWS Machine Learning Machine Learning ML 123

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

ML 127

ML ML AWS SQL 127

Flipboard

APRIL 23, 2025

About the authors Praveen Chamarthi brings exceptional expertise to his role as a Senior AI/ML Specialist at Amazon Web Services, with over two decades in the industry. When hes not advancing ML workloads, Praveen can be found immersed in books or enjoying science fiction films. Connect with him on LinkedIn to follow his insights.

AWS 122

AWS ML ML AI 122

AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

ML 104

ML ML AWS Data Science 104

AWS Machine Learning Blog

APRIL 9, 2024

The correct response for this query is “Amazon’s annual revenue increased from $245B in 2019 to $434B in 2022,” based on the documents in the knowledge base. The generated response is “Amazon’s annual revenue increase from $245B in 2019 to $434B in 2022.” We ask “What was the Amazon’s revenue in 2019 and 2021?”

Machine Learning 136

Machine Learning Machine Learning AWS ML 136

Data Science 101

NOVEMBER 11, 2019

SQL Server 2019 SQL Server 2019 went Generally Available. Data Science Announcements from Microsoft Ignite Many other services were announced such as: Azure Quantum, Project Silica, R support in Azure ML, and Visual Studio Online. Amazon Web Services.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

Flipboard

JANUARY 14, 2025

By combining the reasoning power of multiple intelligent specialized agents, multi-agent collaboration has emerged as a powerful approach to tackle more intricate, multistep workflows. The concept of multi-agent systems isnt entirely newit has its roots in distributed artificial intelligence research dating back to the 1980s.

AWS 150

AWS Natural Language Processing AI AI 150

NYU Center for Data Science

MARCH 15, 2023

The recent iteration of the free online course focuses on introductory lectures in artificial intelligence and machine learning With the goal of improving access to artificial intelligence education, the NYU AI School offers a free week-long machine learning course, including lectures, labs, and panel discussions with leading AI experts.

Machine Learning 98

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 98

AWS Machine Learning Blog

DECEMBER 18, 2024

Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019. In this post, we explore how Fastweb used cutting-edge AI and ML services to embark on their LLM journey, overcoming challenges and unlocking new opportunities along the way.

Clustering 101

Clustering AWS AI AI 101

Smart Data Collective

MARCH 26, 2021

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. This form of learning is everywhere, in places you may not even know, which is part of what makes ML so integral to a range of professions and everyday tasks. Using ML can potentially reduce this number and prevent injuries, too.

Machine Learning 143

Machine Learning Machine Learning ML ML 143

Smart Data Collective

MAY 10, 2022

Artificial intelligence (AI) is all the rage now. According to P&S Intelligence , AI in the fintech market is expected to grow to $47 billion in 2030 from $7.7 What is artificial intelligence? How do fintech companies apply artificial intelligence? billion in 2020.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence AI AI 128

Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

AWS 182

AWS ML ML AI 182

Mlearning.ai

MARCH 24, 2023

In the same year, Alan Turing released a path breaking and prophetic paper called “ Computing Machinery and Intelligence ”, popularly known as “ Imitation Game ”, in which he enquired — “ Can machines think ? ”. This was much before the term ‘ Artificial Intelligence ’ was coined in 1955. BECOME a WRITER at MLearning.ai

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI/ML development efforts, regardless of your preferred interface or workflow.

AWS 117

AWS Machine Learning Machine Learning ML 117

AWS Machine Learning Blog

JULY 29, 2024

Amazon Forecast is a fully managed service that uses statistical and machine learning (ML) algorithms to deliver highly accurate time series forecasts. Benefits of SageMaker Canvas Forecast customers have been seeking greater transparency, lower costs, faster training, and enhanced controls for building time series ML models.

ML 121

ML ML Algorithm AWS 121

AWS Machine Learning Blog

MARCH 25, 2025

According to Gartner , the average desk worker now uses 11 applications to complete their tasks, up from just 6 in 2019. About the Authors Takeshi Kobayashi is a Senior AI/ML Solutions Architect within the Amazon Q Business team, responsible for developing advanced AI/ML solutions for enterprise customers.

AWS 117

AWS ML ML AI 117

AWS Machine Learning Blog

SEPTEMBER 17, 2024

AWS DeepComposer was first introduced during AWS re:Invent 2019 as a fun way for developers to compose music by using generative AI. AWS DeepComposer was the world’s first machine learning (ML)-enabled keyboard for developers to get hands-on—literally—with a musical keyboard and the latest ML techniques to compose their own music.

AWS 90

AWS ML ML Machine Learning 90

Flipboard

MAY 29, 2025

6:15 : My role is leading AI/ML for clinical development. Taking a biopsythats where were entering the field of artificial intelligence. 15:30 : Weve had a responsible AI team since 2019. Tools like knowledge graph arent just AI/ML. Also Julesits maintained outside AI/ML. There is so much random variation.

AI 78

AI AI ML ML 78

Dataconomy

OCTOBER 3, 2023

Quickly rising to acclaim in 2019, this Chinese-origin free deepfake app, available for both iOS and Android, gifts users the cinematic experience of a lifetime. The realm of deepfakes relies on the brilliance of artificial intelligence and machine learning algorithms. When the canvas calls, Deep Art answers.

AI 201

AI AI Machine Learning Machine Learning 201

AWS Machine Learning Blog

MAY 17, 2023

AWS delivers services that meet customers’ artificial intelligence (AI) and machine learning (ML) needs with services ranging from custom hardware like AWS Trainium and AWS Inferentia to generative AI foundation models (FMs) on Amazon Bedrock. Amazon SageMaker JumpStart is an ML hub that can helps you accelerate your ML journey.

AWS 101

AWS ML ML Artificial Intelligence 101

AWS Machine Learning Blog

NOVEMBER 1, 2024

For our evaluation, we used the F1 score , which is an evaluation metric to assess the performance of LLMs and traditional ML models. Sovik Kumar Nath is an AI/ML and Generative AI Senior Solutions Architect with AWS. The number of epochs is a crucial hyperparameter that affects model performance and training efficiency.

Data Preparation 99

Data Preparation Machine Learning Machine Learning ML 99

AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We evaluated the WAPE for all BLs in the auto end market for 2019, 2020, and 2021.

Machine Learning 110

Machine Learning Machine Learning ML ML 110

Towards AI

APRIL 19, 2024

Generative Artificial Intelligence is guiding the forward for businesses worldwide. Generative AI, being an excellent successor of Artificial Intelligence, has made its presence felt with ever-amazing explorations. Get a closer view of the top generative AI companies making waves in 2024.

AI 110

AI AI Artificial Intelligence Artificial Intelligence 110

Flipboard

MAY 29, 2025

Custom geospatial machine learning : Fine-tune a specialized regression, classification, or segmentation model for geospatial machine learning (ML) tasks. Karsten Schroer is a Senior Machine Learning (ML) Prototyping Architect at AWS, focused on helping customers leverage artificial intelligence (AI), ML, and generative AI technologies.

AWS 95

AWS ML ML Machine Learning 95

ML Review

DECEMBER 16, 2019

Let’s check out the goodies brought by NeurIPS 2019 and co-located events! In this (by no means exhaustive) post we will discuss general trends in ML on graphs as well as touch upon Knowledge Graphs (KGs) as it is what we are doing at Fraunhofer IAIS (end of shameless self-promotion ?). Graphs were well represented at the conference.

Machine Learning 52

Machine Learning Machine Learning Algorithm Database 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

Although this stunning progress in artificial intelligence remains remarkable, the financial costs and energy consumption required to train these models has emerged as a critical bottleneck due to the need for specialized hardware like GPUs. Founded in 2021, ThirdAI Corp. 8xlarge 32 64 AWS Graviton3 $1.1562/hr c6i.8xlarge

AWS 135

AWS Deep Learning Deep Learning ML 135

AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. Second, open source Metaflow provides the necessary software infrastructure to build production-grade ML/AI systems in a developer-friendly manner.

AWS 127

AWS ML ML Python 127

AWS Machine Learning Blog

APRIL 4, 2023

AWS provides various services catered to time series data that are low code/no code, which both machine learning (ML) and non-ML practitioners can use for building ML solutions. We recommend running this notebook on Amazon SageMaker Studio , a web-based, integrated development environment (IDE) for ML. References Dua, D.

Clustering 101

Clustering ML ML AWS 101

ODSC - Open Data Science

APRIL 10, 2023

There are countless blockers that may keep you from getting your ML projects off the ground, including: The time required to understand and stitch together a fragmented ecosystem of low-level, ML-specific packages. The engineering effort involved with building and maintaining infrastructure that can execute large-scale ML workloads.

ML 52

ML ML Machine Learning Machine Learning 52

Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. We then explain the details of the ML methodology and model training procedures.

Cross Validation 119

Cross Validation ML ML Machine Learning 119

AWS Machine Learning Blog

JULY 9, 2024

In the financial services industry, we hear customers ask which model to choose for their financial domain generative artificial intelligence (AI) applications. of its consolidated revenues during the years ended December 31, 2019, 2018 and 2017, respectively.

AWS 125

AWS AI AI Machine Learning 125

ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. Some typical examples are given in the following table, along with some discussion as to whether or not ML would be an appropriate tool for solving the problem: Figure 1.1:

Machine Learning 98

Machine Learning Machine Learning ML ML 98

DataRobot

AUGUST 5, 2021

In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. The bad news was that the risk was low because Banjo didn’t actually use techniques “that meet the industry definition of artificial intelligence.”

AI 98

AI AI Artificial Intelligence Artificial Intelligence 98

Smart Data Collective

DECEMBER 19, 2019

Artificial Intelligence (AI) is always in the limelight from the last couple of years. © Statista 2019 Also, here is a list of some other stats. Once the hackers can spot any vulnerability in the machine learning workflow, leveraging the power of AI, they can bemuse the ML models. Malicious Use of Artificial Intelligence.

AI 90

AI AI Artificial Intelligence Artificial Intelligence 90

AWS Machine Learning Blog

MARCH 13, 2023

Amazon SageMaker Ground Truth Plus is a managed data labeling service that makes it easy to label data for machine learning (ML) applications. One common use case is semantic segmentation, which is a computer vision ML technique that involves assigning class labels to individual pixels in an image. This labeling process is complex.

Machine Learning 97

Machine Learning Machine Learning ML ML 97

AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

ML 101

ML ML Data Pipeline AWS 101