2021, Data Preparation and Data Science

Hands-on Data-Centric AI: Data Preparation Tuning?—?Why and How?

ODSC - Open Data Science

APRIL 25, 2023

Hands-on Data-Centric AI: Data Preparation Tuning — Why and How? Be sure to check out her talk, “ Hands-on Data-Centric AI: Data preparation tuning — why and how? The Data-Centric AI term was coined by Andrew NG in 2021 , bringing a shift of focus in developing data-driven solutions.

Data Preparation

Data Preparation Machine Learning Machine Learning Data Quality

How Data Science and AI is Changing the Future

Pickl AI

NOVEMBER 5, 2024

Summary: Data Science and AI are transforming the future by enabling smarter decision-making, automating processes, and uncovering valuable insights from vast datasets. Introduction Data Science and Artificial Intelligence (AI) are at the forefront of technological innovation, fundamentally transforming industries and everyday life.

Data Science

Data Science Artificial Intelligence Artificial Intelligence Machine Learning

Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

AWS Machine Learning Blog

SEPTEMBER 12, 2023

In 2021, Scalable Capital experienced a tenfold increase of its client base, from tens of thousands to hundreds of thousands. Scalable Capital’s data science and client service teams identified that one of the largest bottlenecks in servicing our clients was responding to email inquiries.

Data Science

Data Science Data Scientist AWS ML

Webinars

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

MORE WEBINARS

How are AI Projects Different

Towards AI

AUGUST 16, 2023

Michael Dziedzic on Unsplash I am often asked by prospective clients to explain the artificial intelligence (AI) software process, and I have recently been asked by managers with extensive software development and data science experience who wanted to implement MLOps. Join thousands of data leaders on the AI newsletter.

Machine Learning

Machine Learning Machine Learning AI AI

What is MLOps

Towards AI

AUGUST 16, 2023

Figure 4: The ModelOps process [Wikipedia] The Machine Learning Workflow Machine learning requires experimenting with a wide range of datasets, data preparation, and algorithms to build a model that maximizes some target metric(s). 19, 2021. [2] There is no standard way to package and deploy models. References [1] J.

Machine Learning

Machine Learning Machine Learning ML ML

Achieve effective business outcomes with no-code machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

MARCH 29, 2023

On November 30, 2021, we announced the general availability of Amazon SageMaker Canvas , a visual point-and-click interface that enables business analysts to generate highly accurate machine learning (ML) predictions without having to write a single line of code. The key to scaling the use of ML is making it more accessible.

Machine Learning

Machine Learning Machine Learning ML ML

Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning Blog

FEBRUARY 6, 2024

In 2021, the pharmaceutical industry generated $550 billion in US revenue. Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. In this section, we describe the major steps involved in data preparation and model training.

AWS

AWS ML ML Data Preparation

Bringing AI predictions to Tableau with Einstein Discovery

Tableau

FEBRUARY 22, 2021

February 23, 2021 - 3:55am. March 23, 2021. This introduces an exciting new class of AI-powered analytics: Tableau Business Science. We’re bringing powerful data science techniques closer to the business, beginning with Einstein Discovery in Tableau. With the upcoming Tableau 2021.1

Tableau

Tableau ML ML AI

Building an efficient MLOps platform with OSS tools on Amazon ECS with AWS Fargate

AWS Machine Learning Blog

SEPTEMBER 18, 2024

As an early adopter of large language model (LLM) technology, Zeta released Email Subject Line Generation in 2021. It simplifies feature access for model training and inference, significantly reducing the time and complexity involved in managing data pipelines. Matúš Chládek is a Senior Engineering Manager for ML Ops at Zeta Global.

AWS

AWS Machine Learning Machine Learning ML

Omdia Selects DataRobot as Recommended MLOps Vendor

DataRobot

JUNE 2, 2021

A recent report by technology research and consulting firm Omdia, “Selecting an Enterprise MLOps Platform, 2021,” could not have been clearer when stating that “investing in MLOps will be necessary for companies that aim to transform their businesses by using AI technologies.” scheduled for June 15, 2021, and beyond. Download Now.

Machine Learning

Machine Learning Machine Learning Data Science ML

Bringing More AI to Snowflake, the Data Cloud

DataRobot Blog

FEBRUARY 28, 2023

A seamless user experience when deploying and monitoring DataRobot models to Snowflake Monitoring service health, drift, and accuracy of DataRobot models in Snowflake “Organizations are looking for mature data science platforms that can scale to the size of their entire business. Learn more at DataRobot.com/Snowflake.

Exploratory Data Analysis

Exploratory Data Analysis ML ML AI

How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

SEPTEMBER 23, 2021

September 23, 2021 - 11:58pm. September 28, 2021. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? Data modeling. Data migration . Data architecture. Nathan Cho. Nirav Kamdar. Spencer Czapiewski.

Data Governance

Data Governance Analytics Analytics Tableau

Exploring data using AI chat at Domo with Amazon Bedrock

AWS Machine Learning Blog

SEPTEMBER 9, 2024

However, companies can face challenges when using generative AI for data insights, including maintaining data quality, addressing privacy concerns, managing model biases, and integrating AI systems with existing workflows. Domo is a cloud-centered data experiences innovator that empowers users to make data-driven decisions.

AI

AI AI AWS ML

How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

SEPTEMBER 23, 2021

September 23, 2021 - 11:58pm. September 28, 2021. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? Data modeling. Data migration . Data architecture. Nathan Cho. Nirav Kamdar. Spencer Czapiewski.

Data Governance

Data Governance Analytics Analytics Tableau

How to Maximize IT Talent and Become a Data-Driven Organization

Dataversity

MARCH 11, 2022

Organizations across the world are striving to be data-driven and use data more effectively to inform decision-making at every level of the business. However, according to the 2021 Big Data and AI Executive Survey from NewVantage Partners, only 40% of companies today manage their data as if it were a business asset.

Big Data

Big Data Big Data AI AI

Use foundation models to improve model accuracy with Amazon SageMaker

AWS Machine Learning Blog

NOVEMBER 16, 2023

0, 1, 2 Reference architecture In this post, we use Amazon SageMaker Data Wrangler to ask a uniform set of visual questions for thousands of photos in the dataset. SageMaker Data Wrangler is purpose-built to simplify the process of data preparation and feature engineering. in Data Science. & Kim, I.

ML

ML ML AWS Machine Learning

Bringing AI predictions to Tableau with Einstein Discovery

Tableau

FEBRUARY 22, 2021

February 23, 2021 - 3:55am. March 23, 2021. This introduces an exciting new class of AI-powered analytics: Tableau Business Science. We’re bringing powerful data science techniques closer to the business, beginning with Einstein Discovery in Tableau. With the upcoming Tableau 2021.1

Tableau

Tableau ML ML AI

Discover the Most Important Fundamentals of Data Engineering

Pickl AI

NOVEMBER 4, 2024

Additionally, Data Engineers implement quality checks, monitor performance, and optimise systems to handle large volumes of data efficiently. Differences Between Data Engineering and Data Science While Data Engineering and Data Science are closely related, they focus on different aspects of data.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

AWS Machine Learning Blog

MARCH 1, 2023

It was launched in June 2021 and has been ranked within the top three in revenue in Korea. Challenges In this section, we discuss challenges around various data sources, data drift caused by internal or external events, and solution reusability.

AWS

AWS ML ML ETL

Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 2: SageMaker notebooks and Studio

AWS Machine Learning Blog

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support offering. For more information, see Enable self-service, secured data science using Amazon SageMaker notebooks and AWS Service Catalog and Launch Amazon SageMaker Studio using AWS Service Catalog and AWS SSO in AWS Control Tower Environment.

AWS

AWS ML ML EDA

Reflecting on a decade of data science and the future of visualization tools

Tableau

FEBRUARY 24, 2021

February 24, 2021 - 6:55pm. February 24, 2021. Data science has exploded over the past decade, changing the way that we conduct business and prepare the next generation of young people for the jobs of the future. What is data science? It turns out data science is different things to different people.

Data Science

Data Science Data Scientist Data Visualization Computer Science

Reflecting on a decade of data science and the future of visualization tools

Tableau

FEBRUARY 24, 2021

February 24, 2021 - 6:55pm. February 24, 2021. Data science has exploded over the past decade, changing the way that we conduct business and prepare the next generation of young people for the jobs of the future. What is data science? It turns out data science is different things to different people.

Data Science

Data Science Data Scientist Data Visualization Computer Science

A Beginner’s Guide to End-to-End Machine Learning Projects

Mlearning.ai

SEPTEMBER 1, 2023

An end-to-end Machine Learning Project has the following steps: Problem statement Data Collection Data Visualisation Data Preparation Building a Model Deployment of the Model Figure 1: Process of an End-to-End Machine Learning Project Problem Statement Let’s say you are working as a Data Scientist at a hospital.

Machine Learning

Machine Learning Machine Learning Python Data Science

Data Science Current

Hands-on Data-Centric AI: Data Preparation Tuning?—?Why and How?

How Data Science and AI is Changing the Future

Webinars

Trending Sources

Accelerate client success management through email classification with Hugging Face on Amazon SageMaker

Webinars

How are AI Projects Different

What is MLOps

Achieve effective business outcomes with no-code machine learning using Amazon SageMaker Canvas

Deploy large language models for a healthtech use case on Amazon SageMaker

Bringing AI predictions to Tableau with Einstein Discovery

Building an efficient MLOps platform with OSS tools on Amazon ECS with AWS Fargate

Omdia Selects DataRobot as Recommended MLOps Vendor

Bringing More AI to Snowflake, the Data Cloud

How to: Focus on three areas for a holistic data governance approach for self-service analytics

Exploring data using AI chat at Domo with Amazon Bedrock

How to: Focus on three areas for a holistic data governance approach for self-service analytics

How to Maximize IT Talent and Become a Data-Driven Organization

Use foundation models to improve model accuracy with Amazon SageMaker

Bringing AI predictions to Tableau with Einstein Discovery

Discover the Most Important Fundamentals of Data Engineering

How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 2: SageMaker notebooks and Studio

Reflecting on a decade of data science and the future of visualization tools

Reflecting on a decade of data science and the future of visualization tools

A Beginner’s Guide to End-to-End Machine Learning Projects

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