AWS Machine Learning Blog

OCTOBER 17, 2023

At Amazon Web Services (AWS) , not only are we passionate about providing customers with a variety of comprehensive technical solutions, but we’re also keen on deeply understanding our customers’ business processes. This method is called working backwards at AWS. Project background Milk is a nutritious beverage.

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Data Science Blog

NOVEMBER 15, 2023

DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Central data models in a cloud-based Data Mesh Architecture (e.g. on Microsoft Azure, AWS, Google Cloud Platform or SAP Dataverse) significantly improve data utilization and drive effective business outcomes. Click to enlarge!

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Data Modeling Data Models Business Intelligence Business Intelligence 245

Smart Data Collective

FEBRUARY 14, 2021

Do Your Research with Data Mining. For example, if you want to sell on AWS marketplace , you will need to see what they expect from you. If you plan to sell on AWS marketplace, or with similar online retailers, you will need to prepare your SaaS product. See if they offer guidelines or requirements to sell products.

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Towards AI

JANUARY 6, 2025

Natural language processing, computer vision, data mining, robotics, and other competencies are strengthened in the course. Generative AI with LLMs course by AWS AND DEEPLEARNING.AI it consists of 2 courses- a Google AI course for Beginners and a Google AI course for JS Developers.

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Artificial Intelligence Artificial Intelligence AI AI 105

Data Science Blog

JUNE 21, 2023

Depending on the data strategy of one organization, one cost-effective approach to process mining could be to leverage cloud computing resources. Cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), provide scalable and flexible infrastructure options.

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Big Data Big Data Data Engineering Data Engineering 130

Pickl AI

JULY 30, 2024

It is useful for visualising complex data and identifying patterns and trends. Some of the key platforms used for cloud computing include: AWS (Amazon Web Services) AWS is a cloud computing platform that provides a range of services, including storage, computing, and analytics. Weka and R support this process.

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Cloud Computing Machine Learning Machine Learning Power BI 52

ODSC - Open Data Science

MAY 1, 2023

Pedro Domingos, PhD Professor Emeritus, University Of Washington | Co-founder of the International Machine Learning Society Pedro Domingos is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI.

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ODSC - Open Data Science

APRIL 3, 2023

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. Cloud Services: Google Cloud Platform, AWS, Azure.

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Analytics Analytics Data Analyst Data Science 52

Pickl AI

JULY 12, 2024

Pandas: A powerful library for data manipulation and analysis, offering data structures and operations for manipulating numerical tables and time series data. Scikit-learn: A simple and efficient tool for data mining and data analysis, particularly for building and evaluating machine learning models.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

DagsHub

APRIL 21, 2024

Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis. Similar to TensorFlow, PyTorch is also an open-source tool that allows you to develop deep learning models for free.

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Machine Learning Machine Learning ML ML 59

AWS Machine Learning Blog

MARCH 18, 2025

The end-to-end NeMo Framework includes the following key features that streamline and accelerate AI development: Data curation : NeMo Curator is a Python library that includes a suite of modules for data-mining and synthetic data generation. This solution integrates NeMo Framework 2.0

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Clustering AWS Deep Learning Deep Learning 105

Dataconomy

JANUARY 20, 2025

specializes in AI-powered data-mining and analytics tools designed to facilitate faster and more informed decision-making for its clients. An investment of $1,000 at the stock’s record low would have grown to nearly $5,400 over two years, yet it remains over 70% below its all-time high.

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Data Mining Data Mining Data Mining AWS 164