ODSC - Open Data Science

DECEMBER 19, 2023

So let’s check out some of the top remote AI jobs for pros to look out for in 2024. Data Scientist Data scientists are responsible for developing and implementing AI models. They use their knowledge of statistics, mathematics, and programming to analyze data and identify patterns that can be used to improve business processes.

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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. This competition emphasized leveraging analytics in one of the world’s fastest and most data-intensive sports.

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ODSC - Open Data Science

MARCH 12, 2025

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. By analyzing conference session titles and abstracts from 2018 to 2024, we can trace the rise and fall of key trends that shaped the industry.

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DagsHub

APRIL 7, 2024

Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. A primer on ML workflows and pipelines Before exploring the tools, we first need to explain the difference between ML workflows and pipelines.

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Dataconomy

FEBRUARY 21, 2024

a company founded in 2019 by a team of experienced software engineers and data scientists. The company’s mission is to make it easy for developers and data scientists to build, deploy, and manage machine learning models and data pipelines. More than 3/4 of the time is spent searching, not generating!

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DagsHub

DECEMBER 5, 2023

Building machine learning models is a highly iterative process. After building a simple MVP for our project, we will most likely carry out a series of experiments in which we try out different models (along with their hyperparameters), create or add various features, or utilize data preprocessing techniques.

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AWS Machine Learning Blog

JUNE 13, 2025

Swallow training Experiment management We discuss topics relevant to machine learning (ML) researchers and engineers with experience in distributed LLM training and familiarity with cloud infrastructure and AWS services. Training Data Number of Training Samples Gemma-2-LMSYS-Chat-1M-Synth 240,000 Swallow-Magpie-Ultra-v0.1

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Flipboard

DECEMBER 29, 2024

This study formulates a dynamic data pipeline to forecast dengue incidence based on 13 meteorological variables using a suite of state-of-the-art machine learning models and custom features engineering, achieving an accuracy of 84.02%, marking a substantial improvement over existing studies.

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AWS Machine Learning Blog

OCTOBER 23, 2024

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. Recent releases Extended support for more Amazon Bedrock capabilities was made available with the August 2024 release.

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DagsHub

MAY 7, 2024

Machine learning, particularly its subsets, deep learning, and generative ML, is currently in the spotlight. We are all still trying to figure out how to test machine learning models. What is Machine Learning Model Testing? Evaluation Vs. Testing: Are They Different?

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DagsHub

MAY 7, 2024

Machine learning, particularly its subsets, deep learning, and generative ML, is currently in the spotlight. We are all still trying to figure out how to test machine learning models. What is Machine Learning Model Testing? Evaluation Vs. Testing: Are They Different?

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PyImageSearch

JANUARY 15, 2024

Home Table of Contents Adversarial Learning with Keras and TensorFlow (Part 2): Implementing the Neural Structured Learning (NSL) Framework and Building a Data Pipeline Adversarial Learning with NSL CIFAR-10 Dataset Configuring Your Development Environment Need Help Configuring Your Development Environment?

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ODSC - Open Data Science

JANUARY 30, 2024

Not only does it involve the process of collecting, storing, and processing data so that it can be used for analysis and decision-making, but these professionals are responsible for building and maintaining the infrastructure that makes this possible; and so much more. Think of data engineers as the architects of the data ecosystem.

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Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. Below are 20 essential tools every data engineer should know.

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Pickl AI

MAY 15, 2024

But the allure of tackling large-scale projects, building robust models for complex problems, and orchestrating data pipelines might be pushing you to transition into Data Science architecture. So if you are looking forward to a Data Science career , this blog will work as a guiding light.

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Pickl AI

MARCH 7, 2024

Summary: In 2024, mastering essential Data Science tools will be pivotal for career growth and problem-solving prowess. offer the best online Data Science courses tailored for beginners and professionals, focusing on practical learning and industry relevance. Platforms like Pickl.AI

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ODSC - Open Data Science

MAY 9, 2024

With 2024 surging along, the world of AI and the landscape being created by large language models continues to evolve in a dynamic manner. This 314 billion parameter “ mixture of experts ” model facilitates robust AI workflows and enhances the efficiency of machine learning operations across various platforms.

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Precisely

JANUARY 18, 2024

Our 2024 mainframe trends recap focuses on modernization and the technologies and trends that can impact your own initiatives. This enables customers to migrate with zero downtime and/or replicate DB2, IMS, and VSAM data from an on-prem mainframe to the AWS cloud in real time. Let’s dive in.

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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact. AIOps and MLOps: What’s the difference?

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Towards AI

MAY 30, 2024

Last Updated on June 3, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Sagemaker is a fully managed AWS service comprising a suite of tools and services to facilitate an end-to-end machine learning (ML) lifecycle. Good morning, fellow learners.

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DagsHub

APRIL 21, 2024

Source: [link] Similarly, while building any machine learning-based product or service, training and evaluating the model on a few real-world samples does not necessarily mean the end of your responsibilities. MLOps tools play a pivotal role in every stage of the machine learning lifecycle. What is MLOps?

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Towards AI

FEBRUARY 29, 2024

Last Updated on February 29, 2024 by Editorial Team Author(s): Hira Akram Originally published on Towards AI. Diagram by author As technology continues to advance, the generation of data increases exponentially. In this dynamically changing landscape, businesses must pivot towards data-driven models to maintain a competitive edge.

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ODSC - Open Data Science

DECEMBER 5, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. While we may be done with events for 2023, 2024 is looking to be packed full of conferences, meetups, and virtual events. What’s next?

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DagsHub

JANUARY 14, 2025

In today's data-driven world, machine learning practitioners often face a critical yet underappreciated challenge: duplicate data management. A massive amount of diverse data powers today's ML models. You will find sections on managing duplicate data, best practices, current trends and so on.

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BAIR

FEBRUARY 17, 2024

We argue that compound AI systems will likely be the best way to maximize AI results in the future , and might be one of the most impactful trends in AI in 2024. Machine learning models are inherently limited because they are trained on static datasets, so their “knowledge” is fixed. Why Use Compound AI Systems?

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ODSC - Open Data Science

JANUARY 2, 2024

Data Engineering Summit Our second annual Data Engineering Summit will be in-person for the first time! Like our first Data Engineering Summit , this event will bring together the leading experts in data engineering and thousands of practitioners to explore different strategies for making data actionable.

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ODSC - Open Data Science

FEBRUARY 15, 2024

How to Practice Data-Centric AI and Have AI Improve its Own Dataset Jonas Mueller | Chief Scientist and Co-Founder | Cleanlab Data-centric AI is poised to be a game changer for Machine Learning projects. Manual labor is no longer the only option for improving data.

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Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. The global data warehouse as a service market was valued at USD 9.06

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phData

JUNE 26, 2024

This is a perfect use case for machine learning algorithms that predict metrics such as sales and product demand based on historical and environmental factors. Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction.

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ODSC - Open Data Science

APRIL 4, 2024

Find out how to weave data reliability and quality checks into the execution of your data pipelines and more. Learn more about them here! Discover the critical role of workflow orchestration in bridging Generative AI with classical Machine Learning for robust, production-ready systems.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time.

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ODSC - Open Data Science

JANUARY 28, 2025

AI Trends of 2024 and Predictions for2025 Reflecting on 2024, McGovern highlighted its breakout nature for AI, driven by advancements in industry applications and the maturation of tools like ChatGPT. Machine learning and LLM modeling have joined this list as foundational skills.

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phData

JULY 18, 2024

Many data engineering consulting companies could also answer these questions for you, or maybe you think you have the talent on your team to do it in-house. Expertise Here at phData, we strive to be experts in data engineering, analytics, and machine learning. Why should you choose phData to help?

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ODSC - Open Data Science

JANUARY 18, 2024

Data engineers will also work with data scientists to design and implement data pipelines; ensuring steady flows and minimal issues for data teams. They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable. Learn more about the cloud.

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DataRobot Blog

DECEMBER 1, 2022

1 globally by 2024, companies should consider that more marketing does not necessarily lead to more customers acquisition. You may learn that customers who were grouped together using a traditional approach to market segmenting look very different after a machine learning assisted analysis. Automate Feature Engineering.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

An optional CloudFormation stack to deploy a data pipeline to enable a conversation analytics dashboard. Choose an option for allowing unredacted logs for the Lambda function in the data pipeline. This allows you to control which IAM principals are allowed to decrypt the data and view it. For testing, choose yes.

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Pickl AI

DECEMBER 16, 2024

This capability is essential for businesses aiming to make informed decisions in an increasingly data-driven world. In 2024, the global Time Series Forecasting market was valued at approximately USD 214.6 billion in 2024 and is projected to reach a mark of USD 1339.1 billion by 2030. What is Time Series Forecasting?

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