Data Science Dojo

FEBRUARY 20, 2023

Spark is a general-purpose distributed data processing engine that can handle large volumes of data for applications like data analysis, fraud detection, and machine learning. Microsoft Azure Machine Learning Microsoft Azure Machine Learning is a set of tools for creating, managing, and analyzing models.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

Towards AI

MARCH 3, 2025

a model that not only pushes the boundaries of conversational AI but also makes it easier for developers to integrate powerful language capabilities into their apps via Azure OpenAI and Foundry. with the robust enterprise-grade capabilities of Azure OpenAI Service and then manage everything seamlessly using Azure AI Foundry.

Azure 86

Azure AI AI Python 86

Pickl AI

DECEMBER 26, 2024

Each platform offers unique capabilities tailored to varying needs, making the platform a critical decision for any Data Science project. Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

ODSC - Open Data Science

JULY 19, 2023

This resulted in a wide number of accelerators, code repositories, or even full-fledged products that were built using or on top of Azure Machine Learning (Azure ML). Based on our analysis of these accelerators, we identified design patterns and code that we could leverage. These can include but may not be limited to: a.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

Dataconomy

JUNE 1, 2023

All you need in one place So is the Microsoft Fabric price the tech giant’s only plan to stay ahead of the data game? Here are compelling reasons why your business should consider using Microsoft Fabric: Unified data platform : Microsoft Fabric provides a comprehensive end-to-end platform for data and analytics workloads.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Data Science 101

JANUARY 10, 2020

Google Releases a tool for Automated Exploratory Data Analysis Exploring data is one of the first activities a data scientist performs after getting access to the data. This command-line tool helps to determine the properties and quality of the data as well the predictive power. Courses & Learning.

Data Science 78

Data Science Power BI Cloud Data Exploratory Data Analysis 78

Data Science Dojo

MAY 18, 2023

Tutorials Day 2 of the Future of Data and AI conference focused on providing tutorials on several trending technology topics, along with our distinguished speakers sharing their valuable insights. Getting Started with SQL Programming: Are you starting your journey in data science?

Data Science 195

Data Science AI AI SQL 195

ODSC - Open Data Science

FEBRUARY 10, 2023

Faster Training and Inference Using the Azure Container for PyTorch in Azure ML If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you. In this post, we’ll cover the basics of this new environment, and we’ll show you how you can use it within your Azure ML project.

Azure 52

Azure ML ML Data Mining 52

ODSC - Open Data Science

FEBRUARY 17, 2023

ChatGPT: The Google Killer, Distributed Training with PyTorch and Azure ML, and Many Models Batch Training Distributed Training with PyTorch and Azure ML Continue reading to learn the simplest way to do distributed training with PyTorch and Azure ML.

Azure 52

Azure ML ML Data Science 52

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

Azure 52

Azure ML ML Data Modeling 52

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

ODSC - Open Data Science

JULY 13, 2023

MLOPs with Azure Machine Learning The MLOps v2 accelerator is the de-facto MLOps solution from Microsoft going forward. As the accelerator continues to evolve, it will remain a one-stop for customers to get started with Azure. Sign up for free and learn all about deep learning and NLP.

Azure 52

Azure Machine Learning Machine Learning AI 52

Pickl AI

NOVEMBER 18, 2024

Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise. Data Analysts drive data-driven success in modern organisations by combining technical proficiency with analytical insight. Cloud Integration: Learn Data Analysis with Microsoft Azure tools.

Data Analyst 110

Data Analyst SQL Python AWS 110

Smart Data Collective

APRIL 29, 2020

A data warehouse that is automated and cloud native, Panoply helps in the integration and management of organisational data. It has useful features, such as an in-browser SQL editor for queries and data analysis, various data connectors for easy data ingestion, and automated data prepossessing and ingestion.

Data Warehouse 99

Data Warehouse SQL Azure ETL 99

Data Science Dojo

SEPTEMBER 11, 2024

With this full-fledged solution, you don’t have to spend all your time and effort combining different services or duplicating data. OneLake, being built on Azure Data Lake Storage (ADLS), supports various data formats, including Delta, Parquet, CSV, and JSON.

Power BI 222

Power BI Data Pipeline Data Warehouse Data Engineering 222

ODSC - Open Data Science

FEBRUARY 13, 2023

Top 3 Free Training Sessions Microsoft Azure: Machine Learning Essentials This series of videos from Microsoft covers the entire stack of machine learning essentials with Microsoft Azure. Here’s our list of the top ten free AI+ Training sessions and the top paid ones that you can get with a subscription.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

ODSC - Open Data Science

JANUARY 25, 2023

The Azure ML team has long focused on bringing you a resilient product, and its latest features take one giant leap in that direction, as illustrated in the graph below (Figure 1). Continue reading to learn more about Azure ML’s latest announcements. This is the motivation behind several of Azure ML’s latest features.

Machine Learning 59

Machine Learning Machine Learning Azure ML 59

Flipboard

MARCH 22, 2023

You can import data from multiple data sources, such as Amazon Simple Storage Service (Amazon S3), Amazon Athena , Amazon Redshift , Amazon EMR , and Snowflake. With this new feature, you can use your own identity provider (IdP) such as Okta , Azure AD , or Ping Federate to connect to Snowflake via Data Wrangler.

AWS 123

AWS Data Preparation Azure Data Scientist 123

Towards AI

JULY 20, 2023

Rissanen Data Analysis Rissanen Data Analysis (RDA) is a method to determine what capabilities are helpful to solve a dataset. ethanjperez/rda Rissanen Data Analysis (RDA) is a method to […] You can store images as big as 100k by 100k! Audio samples of the paper is… github.com Connected Papers ?

Deep Learning 98

Deep Learning Deep Learning Data Analysis Data Analysis 98

ODSC - Open Data Science

APRIL 6, 2023

You can perform data analysis within SQL Though mentioned in the first example, let’s expand on this a bit more. SQL allows for some pretty hefty and easy ad-hoc data analysis for the data professional on the go. Imagine combining the data power of SQL with your preferred scripting program.

SQL 98

SQL Data Scientist Database Data Science 98

Women in Big Data

NOVEMBER 27, 2024

Security features include data encryption and access control. Integrating seamlessly with other Google Cloud services, BigQuery is a powerful solution for organizations seeking efficient and cost-effective large-scale data analysis. architecture for both structured and unstructured data.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

ODSC - Open Data Science

FEBRUARY 2, 2023

Being able to discover connections between variables and to make quick insights will allow any practitioner to make the most out of the data. Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Smart Data Collective

JANUARY 10, 2023

For enjoying all the benefits that IoT technologies can offer us today, it is vital to find a place where all the gathered data will be kept. Usually, companies choose a platform provided by one of the most well-known vendors like Amazon (AWS), Google Cloud, or Microsoft Azure. Proceed to data analysis.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. Many respondents acquired certifications.

AI 145

AI AI Azure AWS 145

Towards AI

FEBRUARY 27, 2024

The Mistral Large model will be available primarily via its own API but also through Azure AI, thanks to a new partnership with Microsoft. Build an LLM-Powered Data Agent for Data Analysis This guide outlines the necessary agent types and their collaborative roles in creating a proficient LLM application for data analysis tasks.

AI 105

AI AI Data Analysis Data Analysis 105

Towards AI

JULY 17, 2023

Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. More technically, Colab is a hosted Jupyter notebook service that requires no setup to use, while providing access free of charge to computing resources including GPUs”.

Machine Learning 98

Machine Learning Machine Learning Data Analysis Data Analysis 98

Smart Data Collective

JUNE 4, 2021

it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Exploratory Data Analysis. Exploratory data analysis is analyzing and understanding data. For exploratory data analysis use graphs and statistical parameters mean, medium, variance.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

ODSC - Open Data Science

DECEMBER 7, 2023

ML Pros Deep-Dive into Machine Learning Techniques and MLOps Seth Juarez | Principal Program Manager, AI Platform | Microsoft Learn how new, innovative features in Azure machine learning can help you collaborate and streamline the management of thousands of models across teams.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

Pickl AI

FEBRUARY 18, 2025

Key Takeaways It transforms raw data into actionable, interactive visualisations. Supports diverse data sources: Excel, SQL Server, Azure, and more. Customisable dashboards and reports enhance data presentation. These components work together to facilitate effective data analysis. Why Power BI?

Power BI 52

Power BI Azure SQL Business Intelligence 52

Analytics Vidhya

APRIL 17, 2023

Introduction Kedro is an open-source Python framework for creating reproducible, maintainable, and modular data science code. It uses best practices of software engineering to build production-ready data science pipelines. This article will give you a glimpse of Kedro framework using news classification tasks.

Data Science 291

Data Science Machine Learning Machine Learning Python 291

Smart Data Collective

SEPTEMBER 21, 2021

With the amount of increase in data, the complexity of managing data only keeps increasing. It has been found that data professionals end up spending 75% of their time on tasks other than data analysis. Advantages of data fabrication for data management.

Data Quality 131

Data Quality Data Pipeline Database Internet of Things 131

Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

Data Warehouse 290

Data Warehouse Analytics Analytics Azure 290

Pickl AI

SEPTEMBER 10, 2024

By integrating AI capabilities, Excel can now automate Data Analysis, generate insights, and even create visualisations with minimal human intervention. AI-powered features in Excel enable users to make data-driven decisions more efficiently, saving time and effort while uncovering valuable insights hidden within large datasets.

Power BI 52

Power BI Data Analysis Data Analysis AI 52

Becoming Human

MAY 15, 2023

These communities will help you to be updated in the field, because there are some experienced data scientists posting the stuff, or you can talk with them so they will also guide you in your journey. Data Analysis After learning math now, you are able to talk with your data.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Data Science Connect

JULY 26, 2023

Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source. This proximity significantly reduces latency and enhances real-time data analysis, making it indispensable for applications like IoT, autonomous vehicles, smart cities, and more.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

Towards AI

FEBRUARY 5, 2024

Here is a short list of the possibilities built-in loaders allow: loading specific file types (JSON, CSV, pdf) or a folder path (DirectoryLoader) in general with selected file types use pre-existent integration with cloud providers (Azure, AWS, Google, etc.) connect to applications (Slack, Notion, Figma, Wikipedia, etc.). ChunkViz v0.1

Azure 115

Azure Data Analysis Data Analysis AWS 115

Pickl AI

NOVEMBER 22, 2024

Key Features Integration with Microsoft Products : Seamlessly connects with Excel, Azure, and other Microsoft services. Real-Time Data Monitoring : Allows users to track metrics in real-time. Google Charts Google Charts is a free tool that provides a simple way to visualise data on the web.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52