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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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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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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AWS Machine Learning Blog

JUNE 13, 2025

Training Data Number of Training Samples Gemma-2-LMSYS-Chat-1M-Synth 240,000 Swallow-Magpie-Ultra-v0.1 In comprehensive evaluations, it has shown superior capabilities compared to OpenAI’s GPT-4o (gpt-4o-2024-08-06), GPT-4o-mini (gpt-4o-mini-2024-07-18), GPT-3.5 (gpt-3.5-turbo-0125), 42,000 Swallow-Gemma-Magpie-v0.1

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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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ODSC - Open Data Science

DECEMBER 5, 2023

While we may be done with events for 2023, 2024 is looking to be packed full of conferences, meetups, and virtual events. On the horizon is ODSC East 2024, which is shaping up to be just as packed with content as ODSC West was, but with its own spin on things. What’s next? Right now, tickets are 75% off for a limited time!

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ODSC - Open Data Science

FEBRUARY 15, 2024

Engineering Knowledge Graph Data for a Semantic Recommendation AI System Ethan Hamilton | Data Engineer | Enterprise Knowledge This in-depth session will teach how to design a semantic recommendation system. These systems are not only useful for a wide range of industries, they are fun for data engineers to work on.

Data Engineering 52

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DagsHub

APRIL 21, 2024

MLOps helps these organizations to continuously monitor the systems for accuracy and fairness, with automated processes for model retraining and deployment as new data becomes available. You can consider this stage as the most code-intensive stage of the entire ML pipeline. It is designed to leverage hardware acceleration (e.g.,

Machine Learning 59

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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. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines.

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AWS Machine Learning Blog

OCTOBER 23, 2024

Data retrieval and augmentation – When a query is initiated, the Vector Database Snap Pack retrieves relevant vectors from OpenSearch Service using similarity search algorithms to match the query with stored vectors. The retrieved vectors augment the initial query with context-specific enterprise data, enhancing its relevance.

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DagsHub

MAY 7, 2024

Indeterminate Modeling Outcomes : Models that rely on stochastic algorithms may yield inconsistent results upon retraining. Seamless integration into the workflow: Kolena can be integrated into existing data pipelines and CI systems using the kolena-client Python client, ensuring that data and models remain under user control at all times.

Machine Learning 52

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DagsHub

MAY 7, 2024

Indeterminate Modeling Outcomes : Models that rely on stochastic algorithms may yield inconsistent results upon retraining. Seamless integration into the workflow: Kolena can be integrated into existing data pipelines and CI systems using the kolena-client Python client, ensuring that data and models remain under user control at all times.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

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.

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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.

Machine Learning 52

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. Parallelism is suited for workloads that are repetitive, fixed tasks, involving little conditional branching and often large amounts of data.

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The MLOps Blog

MARCH 28, 2024

The GPU’s cores are specialized for performing the matrix multiplications at the heart of DL algorithms. GPUs are typically the most expensive resource in a training pipeline. We need a well-optimized data pipeline to achieve this goal. The pipeline involves several steps. Thus, we must make the most out of them.

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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. For example, you could set up a data pipeline that delivers DataRobot predictions to HubSpot to automatically initiate offers within the business rules you set.

AI 52

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phData

JULY 5, 2024

At the time of writing this blog, the year is 2024, and companies that have not yet adopted Gen AI may be feeling the pressure of being left behind. ANN algorithms are more efficient because they do not need to perform an exhaustive search over an entire index to find the most relevant vectors.

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Pickl AI

DECEMBER 16, 2024

Summary: AI in Time Series Forecasting revolutionizes predictive analytics by leveraging advanced algorithms to identify patterns and trends in temporal data. This capability is essential for businesses aiming to make informed decisions in an increasingly data-driven world. billion by 2030.

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Dataconomy

MAY 14, 2025

Agent-to-Agent Communication (A2A): To enable AI agents to work together across platforms, Google introduced the Agent2Agent (A2A) Protocol at Cloud Next 2024. In other words, Snowplow s data pipeline can serve as the eyes and ears of your AI agents, feeding them the AI-ready behavioral data they need to make intelligent decisions.

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Pickl AI

DECEMBER 9, 2024

Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 billion in 2024 and reach a staggering $924.39 Companies actively seek experts to manage and analyse their data-driven strategies. billion in 2023, is projected to grow to $348.21

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The MLOps Blog

FEBRUARY 27, 2025

Adhering to data protection laws is not as complex if we focus less on the internal structure of the algorithms and more on the practical contexts of use. To keep data secure throughout the models lifecycle, implement these practices: data anonymization, secure model serving and privacy penetration tests.

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DagsHub

JANUARY 14, 2025

Impact of duplicate data on model performance Duplicate data often impact the model performance unless they are specially augmented ones to improve the model performance or increase minority class representation. Let’s look into potential issues caused by duplicate data. But Hash based implementation has O(n) complexity.

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phData

OCTOBER 28, 2024

However, if the tool supposes an option where we can write our custom programming code to implement features that cannot be achieved using the drag-and-drop components, it broadens the horizon of what we can do with our data pipelines. The default value is 360 seconds.

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IBM Journey to AI blog

FEBRUARY 9, 2024

2024 thus stands to be a pivotal year for the future of AI, as researchers and enterprises seek to establish how this evolutionary leap in technology can be most practically integrated into our everyday lives. As the pace of progress accelerates, the ever-expanding capabilities of state-of-the-art models will garner the most media attention.

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Flipboard

JUNE 16, 2025

Python: The demand for Python remains high due to its versatility and extensive use in web development, data science, automation, and AI. Python, the language that became the most used language in 2024, is the top choice for job seekers who want to pursue any career in AI. Most Sought-After Skills 1. MongoDB, Cassandra) databases.

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