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 122

AWS Machine Learning Machine Learning ML 122

AWS Machine Learning Blog

MARCH 11, 2025

simple_w_condition Movie In 2016, which movie was distinguished for its visual effects at the oscars? About the author Prasanna Sridharan is a Principal Gen AI/ML Architect at AWS, specializing in designing and implementing AI/ML and Generative AI solutions for enterprise customers. You can connect with Prasanna on LinkedIn.

K-nearest Neighbors 119

K-nearest Neighbors AWS Database AI 119

Tableau

DECEMBER 1, 2021

Adam Selipsky becoming CEO in 2016. Chris and Christian stepped out of operational roles when Adam Selipsky became CEO in 2016. Nov 2016), which typically falls between structured and ad hoc where users need to pull out the structure appropriate to their specific task. Visual encoding is key to explaining ML models to humans.

Tableau 145

Tableau ML ML Database 145

The MLOps Blog

MARCH 14, 2023

When working on real-world ML projects , you come face-to-face with a series of obstacles. The ml model reproducibility problem is one of them. This is indeed an erroneous thing to do when working on ML projects at scale. To back this up, here is the Nature survey conducted in 2016.

ML 52

ML ML Machine Learning Machine Learning 52

NYU Center for Data Science

JULY 18, 2023

The group was first launched in 2016 by Associate Professor of Computer Science, Data Science and Mathematics Joan Bruna , and Associate Professor of Mathematics and Data Science and incoming CDS Interim Director Carlos Fernandez-Granda with the goal of advancing the mathematical and statistical foundations of data science.

Data Science 98

Data Science Machine Learning Machine Learning Natural Language Processing 98

AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. It is challenging to centralize such data for ML due to privacy requirements, high cost of data transfer, or operational complexity. The ML framework used at FL clients is TensorFlow.

AWS 126

AWS ML ML Algorithm 126

AWS Machine Learning Blog

JUNE 18, 2024

The attempt is disadvantaged by the current focus on data cleaning, diverting valuable skills away from building ML models for sensor calibration. Qiong (Jo) Zhang , PhD, is a Senior Partner Solutions Architect at AWS, specializing in AI/ML. She holds 30+ patents and has co-authored 100+ journal/conference papers.

AWS 136

AWS Python AI AI 136

AWS Machine Learning Blog

NOVEMBER 16, 2023

Photo by Scott Webb on Unsplash Determining the value of housing is a classic example of using machine learning (ML). Almost 50 years later, the estimation of housing prices has become an important teaching tool for students and professionals interested in using data and ML in business decision-making.

ML 120

ML ML AWS Machine Learning 120

AWS Machine Learning Blog

FEBRUARY 21, 2025

The concept of a compound AI system enables data scientists and ML engineers to design sophisticated generative AI systems consisting of multiple models and components. With a background in AI/ML, data science, and analytics, Yunfei helps customers adopt AWS services to deliver business results.

AI 107

AI AI AWS Data Scientist 107

Dataconomy

FEBRUARY 22, 2023

The decisive victory comes seven years after the AI system AlphaGo, devised by Google-owned research company DeepMind, defeated the world Go champion Lee Sedol by four games to one in 2016. Sedol attributed his retirement from Go three years later to the rise of AI, saying that it was “an entity that cannot be defeated.”

ML 70

ML ML Machine Learning Machine Learning 70

AWS Machine Learning Blog

MARCH 29, 2023

there is enormous potential to use machine learning (ML) for quality prediction. ML-based predictive quality in HAYAT HOLDING HAYAT is the world’s fourth-largest branded baby diapers manufacturer and the largest paper tissue manufacturer of the EMEA. After the data preparation phase, a two-stage approach is used to build the ML models.

ML 98

ML ML AWS Machine Learning 98

AWS Machine Learning Blog

FEBRUARY 28, 2023

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. For example, in the healthcare industry, ML-driven analytics can be used for diagnostic assistance and personalized medicine, while in health insurance, it can be used for predictive care management.

ML 103

ML ML AWS Machine Learning 103

AWS Machine Learning Blog

OCTOBER 10, 2023

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.

AWS 135

AWS Citizen Data Scientist AI AI 135

Tableau

DECEMBER 1, 2021

Adam Selipsky becoming CEO in 2016. Chris and Christian stepped out of operational roles when Adam Selipsky became CEO in 2016. Nov 2016), which typically falls between structured and ad hoc where users need to pull out the structure appropriate to their specific task. Visual encoding is key to explaining ML models to humans.

Tableau 98

Tableau ML ML Database 98

AWS Machine Learning Blog

JUNE 11, 2025

The following code shows what an example metadata file looks like: { "metadataAttributes": { "domain": "project A", "year": 2016, "type": "wiki" } } Retrieve API The Retrieve API allows querying a knowledge base to retrieve relevant information. You can use it as follows: Send a POST request to /knowledgebases/knowledgeBaseId/retrieve.

67

67

DataRobot

MAY 11, 2021

Founded in 2016 by the creator of Apache Zeppelin, Zepl provides a self-service data science notebook solution for advanced data scientists to do exploratory, code-centric work in Python, R, and Scala. Stay tuned.

Data Scientist 98

Data Scientist Data Science Citizen Data Scientist AI 98

AWS Machine Learning Blog

JULY 15, 2024

About the Authors Na Yu is a Lead GenAI Solutions Architect at Mission Cloud, specializing in developing ML, MLOps, and GenAI solutions in AWS Cloud and working closely with customers. She specializes in leveraging AI and ML to drive innovation and develop solutions on AWS. Partner Solutions Architect at AWS, specializing in AI/ML.

AWS 131

AWS ML ML Big Data 131

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

AWS 122

AWS ML ML Clustering 122

ML @ CMU

DECEMBER 1, 2023

Interestingly, the rate of disagreement between reviews of papers measured in NeurIPS 2016 was in a similar range — 0.25 We say the pair of evaluators agrees on this pair of reviews if both score the same review higher than the other; we say that this pair disagrees if the review scored higher by one evaluator is scored lower by the other.

Machine Learning 144

Machine Learning Machine Learning 144

ODSC - Open Data Science

FEBRUARY 20, 2023

He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. His research interests bridge the computational, statistical, cognitive, biological, and social sciences.

Machine Learning 96

Machine Learning Machine Learning Data Science Python 96

AWS Machine Learning Blog

JANUARY 31, 2024

Overview In 2016, a new era of innovation began when Mendix announced a strategic collaboration with AWS. Suresh Patnam is the principal GTM Specialist AI/ML and Generative AI at AWS. He is passionate about helping businesses of all sizes transform into fast-moving digital organizations focusing on data, AI/ML, and generative AI.

AWS 122

AWS AI AI ML 122

Towards AI

FEBRUARY 27, 2024

Looking ahead, it has served the ML community a lot while building different Natural Language Understanding tools and models as a high-quality curated corpus of information. The open-source movement gained hold with the rise of the Internet, and it has since grown into a vibrant scene with many contributors and projects.

Machine Learning 109

Machine Learning Machine Learning Deep Learning Deep Learning 109

How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. Microsoft’s Tay Chatbot Misfire Microsoft launched an AI chatbot called Tay on Twitter in 2016. Data Quality Factors to Consider So, how can you avoid these types of failures in your ML projects?

Machine Learning 52

Machine Learning Machine Learning Data Quality Algorithm 52

DagsHub

APRIL 7, 2024

These pipelines cover the entire lifecycle of an ML project, from data ingestion and preprocessing, to model training, evaluation, and deployment. Adopted from [link] In this article, we will first briefly explain what ML workflows and pipelines are. around the world to streamline their data and ML pipelines.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

AWS Machine Learning Blog

JANUARY 17, 2024

SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models. He retired from EPFL in December 2016.nnIn

AWS 135

AWS Python Machine Learning Machine Learning 135

AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

ML 97

ML ML Deep Learning Deep Learning 97

Mlearning.ai

MAY 15, 2023

describe() count 9994 mean 2017-04-30 05:17:08.056834048 min 2015-01-03 00:00:00 25% 2016-05-23 00:00:00 50% 2017-06-26 00:00:00 75% 2018-05-14 00:00:00 max 2018-12-30 00:00:00 Name: Order Date, dtype: object Average sales per year df['year'] = df['Order Date'].apply(lambda Yearly average sales. Convert it into a graph.

Data Science 52

Data Science Machine Learning Machine Learning AI 52

Mlearning.ai

MARCH 15, 2023

The ML model is then used by the user through an API by sending a request to access a specific feature. Federated Learning On the other hand, the FL architecture is different because machine learning is done across multiple edge devices (clients) that collaborate in the training of the ML model.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

OCTOBER 4, 2024

He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, and recipient of the 2001 IEEE Kanai Award for Distributed Computing and the 2016 ACM Software Systems Award. Previously, Ali was the Head of Machine Learning & Worldwide TechLeader for AWS AI / ML specialist solution architects.

Data Science 52

Data Science Machine Learning Machine Learning Algorithm 52

ML Review

JUNE 4, 2018

Source : Britz (2016)[ 62 ] CNNs can encode abstract features from images. Figure 14 : Beam search example Source : Geeky is Awesome (2016)[ 66 ] For example, at the first word prediction output step, a higher probability sentence might be outputted overall by choosing the word with a lower probability than the word with the highest.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Dataconomy

JUNE 6, 2024

NEAR Protocol incorporates AI and ML into platform systems, where smart contract deployment, network optimization, and security monitoring are performed automatically. It applies high-standard sharding technology to achieve massive trouble-free transaction throughput and low fees, which also tackles the general problems in other blockchains.

AI 103

AI AI Artificial Intelligence Artificial Intelligence 103

ODSC - Open Data Science

AUGUST 16, 2024

In 2016, he was named the “most influential computer scientist” worldwide in Science magazine. Michael, currently a Distinguished Professor at the University of California, Berkeley, has made significant contributions to the field of AI throughout his extensive career.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

DataRobot Blog

APRIL 29, 2022

Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries. The Framework for ML Governance. More on this topic. Download now. The post What is Model Risk and Why Does it Matter?

Machine Learning 111

Machine Learning Machine Learning Big Data Big Data 111

Dataconomy

AUGUST 2, 2024

NEAR Protocol incorporates AI and ML into platform systems, where smart contract deployment, network optimization, and security monitoring are performed automatically. It applies high-standard sharding technology to achieve massive trouble-free transaction throughput and low fees, which also tackles the general problems in other blockchains.

AI 91

AI AI Artificial Intelligence Artificial Intelligence 91

Alation

FEBRUARY 1, 2022

Between 2016 and 2019, robot-vacuum cleaner sales jumped by 13% year over year. Sheer volume of data makes automation with Artificial Intelligence & Machine Learning (AI & ML) an imperative. But to improve and automate complex processes, AI & ML are key. The Role of Automation in Data Governance.

Data Lakes 52

Data Lakes Data Governance ML ML 52

DagsHub

JULY 25, 2024

This guarantees businesses can fully utilize deep learning in their AI and ML initiatives. You can make more informed judgments about your AI and ML initiatives if you know these platforms' features, applications, and use cases. Performance and Scalability Consider the platform's training speed and inference efficiency.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 28, 2024

News CommonCrawl is a dataset released by CommonCrawl in 2016. News CommonCrawl SEC Filing Coverage 2016-2022 1993-2022 Size 25.8 Publicly listed companies are required to file various documents regularly. This creates a large number of documents over the years. It contains news articles from news sites all over the world.

AWS 133

AWS Machine Learning Machine Learning Data Quality 133