Smart Data Collective

SEPTEMBER 16, 2020

These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning. Data Sourcing. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness.

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AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

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AWS Machine Learning Blog

MARCH 8, 2023

Manager Data Science at Marubeni Power International. Therefore, the ingestion components need to be able to manage authentication, data sourcing in pull mode, data preprocessing, and data storage. Because the data is being fetched hourly, a mechanism is also required to orchestrate and schedule ingestion jobs.

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IBM Journey to AI blog

AUGUST 12, 2024

Here, we’ll discuss the key differences between AIOps and MLOps and how they each help teams and businesses address different IT and data science challenges. Data characteristics and preprocessing AIOps tools handle a range of data sources and types, including system logs, performance metrics, network data and application events.

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Ocean Protocol

NOVEMBER 28, 2024

Introduction The Formula 1 Prediction Challenge: 2024 Mexican Grand Prix brought together data scientists to tackle one of the most dynamic aspects of racing — pit stop strategies. With every second on the track critical, the challenge showcased how data can shape decisions that define race outcomes.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. This session covers the technical process, from data preparation to model customization techniques, training strategies, deployment considerations, and post-customization evaluation.

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AWS Machine Learning Blog

SEPTEMBER 27, 2024

Recent events including Tropical Cyclone Gabrielle have highlighted the susceptibility of the grid to extreme weather and emphasized the need for climate adaptation with resilient infrastructure. Data preparation SageMaker Ground Truth employs a human workforce made up of Northpower volunteers to annotate a set of 10,000 images.

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ODSC - Open Data Science

MAY 10, 2023

Unfortunately, even the data science industry — which should recognize tabular data’s true value — often underestimates its relevance in AI. Many mistakenly equate tabular data with business intelligence rather than AI, leading to a dismissive attitude toward its sophistication.

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Women in Big Data

JULY 19, 2024

The Women in Big Data (WiBD) Spring Hackathon 2024, organized by WiDS and led by WiBD’s Global Hackathon Director Rupa Gangatirkar , sponsored by Gilead Sciences, offered an exciting opportunity to sharpen data science skills while addressing critical social impact challenges.

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ODSC - Open Data Science

APRIL 13, 2023

Hands-on Data-Centric AI: Data Preparation Tuning — Why and How? Going into developing machine learning models with a hands-on, data-centric AI approach has its benefits and requires a few extra steps to achieve. Here’s how to get there. Here are a few common mashups that may be right up your alley.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

The data science team expected an AI-based automated image annotation workflow to speed up a time-consuming labeling process. Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units.

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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. launch event on March 16th.

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Pickl AI

FEBRUARY 21, 2023

Businesses require Data Scientists to perform Data Mining processes and invoke valuable data insights using different software and tools. What is Data Mining and how is it related to Data Science ? What is Data Mining? Why is Data Mining Important? are the various data mining tools.

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Snorkel AI

NOVEMBER 9, 2023

LLM distillation will become a much more common and important practice for data science teams in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM Virtual Summit. As data science teams reorient around the enduring value of small, deployable models, they’re also learning how LLMs can accelerate data labeling.

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Data Science Data Scientist Data Preparation AI 59

ODSC - Open Data Science

FEBRUARY 19, 2024

Most of these features also come with AI assistance to help users find the best way to visualize their data. One thing that sets it apart is Power BI’s ability to simplify the often complex and time-consuming task of data preparation. Interested in attending an ODSC event? Learn more about our upcoming events here.

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Snorkel AI

JANUARY 26, 2024

25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Snorkel AI’s Jan.

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ODSC - Open Data Science

OCTOBER 9, 2023

HPCC is a high-performance computing platform that helps organizations process and analyze large amounts of data. Qwak Qwak is a data science platform that simplifies and accelerates the machine learning lifecycle. It provides a unified platform for data preparation, model training, deployment, and monitoring.

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Heartbeat

FEBRUARY 1, 2023

First, we have data scientists who are in charge of creating and training machine learning models. They might also help with data preparation and cleaning. The machine learning engineers are in charge of taking the models developed by data scientists and deploying them into production.

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ODSC - Open Data Science

FEBRUARY 5, 2025

Common Pitfalls in LLM Development Neglecting Data Preparation: Poorly prepared data leads to subpar evaluation and iterations, reducing generalizability and stakeholder confidence. Real-world applications often expose gaps that proper data preparation could have preempted. Evaluation: Tools likeNotion.

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AWS Machine Learning Blog

MAY 3, 2023

This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process. One aspect of this data preparation is feature engineering.

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AWS Machine Learning Blog

JULY 31, 2023

Data preparation, feature engineering, and feature impact analysis are techniques that are essential to model building. These activities play a crucial role in extracting meaningful insights from raw data and improving model performance, leading to more robust and insightful results.

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Iguazio

DECEMBER 14, 2023

Who This Book Is For This book is for practitioners in charge of building, managing, maintaining, and operationalizing the ML process end to end: Data science / AI / ML leaders: Heads of Data Science, VPs of Advanced Analytics, AI Lead etc. The book contains a full chapter dedicated to generative AI. Key Takeaways 1.

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Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. Integration: Seamlessly integrates with popular Data Science tools and frameworks, such as TensorFlow and PyTorch.

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AWS Machine Learning Blog

MARCH 1, 2023

The result of these events can be evaluated afterwards so that they make better decisions in the future. With this proactive approach, Kakao Games can launch the right events at the right time. Kakao Games can then create a promotional event not to leave the game. However, this approach is reactive.

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Snorkel AI

NOVEMBER 9, 2023

LLM distillation will become a much more common and important practice for data science teams in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM Virtual Summit. As data science teams reorient around the enduring value of small, deployable models, they’re also learning how LLMs can accelerate data labeling.

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Data Science Data Scientist Data Preparation AI 52

Dataconomy

OCTOBER 15, 2024

It was a crucial lesson in the power of using tangible, recent events to illustrate potential value. Tool choice may influence design, as each tool has preferred data structures, though corporate strategy and cost considerations may ultimately drive the decision. Future trends Emerging trends are reshaping the data analytics landscape.

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ODSC - Open Data Science

DECEMBER 16, 2024

And, for the tenth anniversary of ODSC East , we are pulling out all of the stops with new tracks, new events, and even a new location. Youll gain immediate, practical skills in Python, data preparation, machine learning modeling, and retrieval-augmented generation (RAG), all leading up to AI Agents. Find outbelow!

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The MLOps Blog

JUNE 27, 2023

See also Thoughtworks’s guide to Evaluating MLOps Platforms End-to-end MLOps platforms End-to-end MLOps platforms provide a unified ecosystem that streamlines the entire ML workflow, from data preparation and model development to deployment and monitoring. Check out the Metaflow Docs. neptune.ai

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Precisely

DECEMBER 4, 2023

For example, location-based insights can be delivered through web GIS (geographic information systems) applications or data science models. Enriched consumer data can shed light on the demographic makeup of a community, income levels, psychographics, lifestyle attributes, and more.

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Pickl AI

JULY 2, 2024

Time Complexity in Data Structures and Algorithms Data structures and algorithms are the building blocks of Data Science workflows. Sorting Algorithms Sorting algorithms play a crucial role in data preparation. Searching Algorithms Efficient searching is essential for various Data Science tasks.

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AWS Machine Learning Blog

OCTOBER 18, 2023

The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring. Matthew Chasse is a Data Science consultant at Amazon Web Services, where he helps customers build scalable machine learning solutions.

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ODSC - Open Data Science

JANUARY 29, 2024

They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and data science to guide powerful LLMs (Large Language Models) towards complex tasks. Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies.

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AWS Machine Learning Blog

DECEMBER 13, 2023

We create an automated model build pipeline that includes steps for data preparation, model training, model evaluation, and registration of the trained model in the SageMaker Model Registry. You can create event-driven workflows triggered by specific events, like when code is pushed to a repository or a pull request is created.

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Snorkel AI

JANUARY 26, 2024

25 Enterprise LLM Summit: Building GenAI with Your Data drew over a thousand engaged attendees across three and a half hours and nine sessions. The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Snorkel AI’s Jan.

Data Science 52

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IBM Journey to AI blog

MAY 9, 2023

It offers its users advanced machine learning, data management , and generative AI capabilities to train, validate, tune and deploy AI systems across the business with speed, trusted data, and governance. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

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DataRobot

SEPTEMBER 14, 2021

DataRobot now delivers both visual and code-centric data preparation and data pipelines, along with automated machine learning that is composable, and can be driven by hosted notebooks or a graphical user experience. Virtual Event. Finally, I’m excited to announce nearly 100 new features in DataRobot 7.2 September 23.

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Tableau

SEPTEMBER 23, 2021

This enables employees to see data details like definitions and formulas, lineage and ownership information, as well as important data quality notifications, from certification status to events, like if a data source refresh failed and the information isn’t up to date. Data modeling. Data migration .

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