AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.

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Neural Network Convolutional Neural Networks Metadata Data Scientist 97

AWS Machine Learning Blog

FEBRUARY 13, 2024

The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores. Augmenting the training data using techniques like cropping, rotating, and flipping images helped improve the model training data and model accuracy.

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Computer Vision Convolutional Neural Networks ML AI 131

Marktechpost

JULY 17, 2023

It relates to employing algorithms to find and examine data patterns to forecast future events. Through practice, machines pick up information or skills (or data). Algorithms and models Predictive analytics uses several methods from fields like machine learning, data mining, statistics, analysis, and modeling.

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Machine Learning Data Mining Data Scientist Data Science 98

AWS Machine Learning Blog

DECEMBER 18, 2023

MongoDB’s robust time series data management allows for the storage and retrieval of large volumes of time-series data in real-time, while advanced machine learning algorithms and predictive capabilities provide accurate and dynamic forecasting models with SageMaker Canvas.

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Data Extraction Data Ingestion ML Machine Learning 121

Pickl AI

OCTOBER 10, 2024

Role of Data Transformation in Analytics, Machine Learning, and BI In Data Analytics, transformation helps prepare data for various operations, including filtering, sorting, and summarisation, making the data more accessible and useful for Analysts. Why Are Data Transformation Tools Important?

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ETL Data Quality Business Intelligence Machine Learning 52

Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling. This tool may mimic difficult regression as well as classification issues.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

John Snow Labs

AUGUST 7, 2024

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. Leveraging Big Data : The power of GenAI in healthcare largely comes from its ability to analyze and generate insights from big data.

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ODSC - Open Data Science

JULY 13, 2023

For example, retailers could analyze and reveal trends much faster with a big data platform. For example, feeding an algorithm statistics about consumer purchasing behavior from stores in one location might lead to poor optimization in another because the data might not be applicable.

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Categorization Data Science Machine Learning Big Data 52

AWS Machine Learning Blog

AUGUST 3, 2023

Training ML algorithms for pose estimation requires a lot of expertise and custom training data. The Detectron2 framework is a library that provides state-of-the-art detection and segmentation algorithms. Aamna Najmi is a Data Scientist with AWS Professional Services. We use deep learning models to solve this problem.

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Computer Vision Data Scientist ML Deep Learning 90

ODSC - Open Data Science

OCTOBER 9, 2024

Tools like Harness and JenkinsX use machine learning algorithms to predict potential deployment failures, manage resource usage, and automate rollback procedures when something goes wrong. In the world of DevOps, AI can help monitor infrastructure, analyze logs, and detect performance bottlenecks in real-time. So what are you waiting for?

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Software Engineer Software Development DevOps Machine Learning 40

ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform. Check them out for free!

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Data Science NLP Machine Learning Data Analysis 52

The MLOps Blog

MARCH 15, 2023

Dagster Supports end-to-end data management lifecycle. Its software-defined assets (announced through Rebundling the Data Platform ) and built-in lineage make it an appealing tool for developers. Seamless integration with many data sources and destinations. Uses secure protocols for data security.

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ETL Categorization Data Integration Automation 59

Pickl AI

APRIL 26, 2024

I would start by collecting historical sales data and other relevant variables such as promotional activities, seasonality, and economic factors. Then, I would explore forecasting models such as ARIMA, exponential smoothing, or machine learning algorithms like random forests or gradient boosting to predict future sales.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

John Snow Labs

FEBRUARY 29, 2024

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. Leveraging Big Data : The power of Gen-AI in healthcare largely comes from its ability to analyze and generate insights from big data.

Generative AI 40

Generative AI AI AI Algorithm 40

IBM Journey to AI blog

JULY 7, 2023

An integrated data protection system can protect your assets by monitoring them, automating access control, setting up notifications, and auditing your password management. Put into place data protection tools such as data encryption algorithms, key management, redaction, data masking and erasure, and data resiliency.

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Categorization Automation Big Data Data Platform 100

Pickl AI

NOVEMBER 22, 2024

Summary: Big Data visualization involves representing large datasets graphically to reveal patterns, trends, and insights that are not easily discernible from raw data. quintillion bytes of data daily, the need for effective visualization techniques has never been greater. As we generate approximately 2.5

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Big Data Business Intelligence Data Analysis Data Platform 52

Pickl AI

DECEMBER 25, 2024

Programming languages like Python and R are commonly used for data manipulation, visualization, and statistical modeling. Machine learning algorithms play a central role in building predictive models and enabling systems to learn from data. Data Science, however, uses predictive and prescriptive solutions.

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Data Science Data Scientist Machine Learning Algorithm 52