Analytics Vidhya

DECEMBER 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Albrecht Fietz from Pixabay Google Cloud Platform, or GCP for short, is like a big house with many different rooms. The post GCP: The Future of Cloud Computing appeared first on Analytics Vidhya.

Cloud Computing 289

Cloud Computing Data Science Analytics Analytics 289

Analytics Vidhya

APRIL 11, 2022

Introduction Cloud computing is the name of the game in Web 2.0 With the shifting to online and virtual business models, cloud computing has helped enhance corporate workflow and reduce office infrastructure costs. The post Top Certifications in Cloud Computing in 2022 appeared first on Analytics Vidhya.

Cloud Computing 318

Cloud Computing Analytics Analytics Azure 318

Analytics Vidhya

OCTOBER 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction A business can employ IT services offered on the internet by using cloud computing rather than maintaining its physical servers. Popular cloud computing services include Google Cloud, Amazon Web Services (AWS), and Microsoft Azure.

Cloud Computing 390

Cloud Computing Azure Data Science AWS 390

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Analytics Vidhya

AUGUST 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction Mainframes and punch cards were the first to be used for batch processing, leading to the discovery of Microsoft Azure Batch Services: Compute Management Platform. The post What is Azure Batch Service?

Azure 270

Azure Data Science Analytics Analytics 270

Analytics Vidhya

DECEMBER 20, 2022

This article was published as a part of the Data Science Blogathon. Before seeing the practical implementation of the use case, let’s briefly introduce Azure Data Lake Storage Gen2 and the Paramiko module. The post An Overview of Using Azure Data Lake Storage Gen2 appeared first on Analytics Vidhya.

Data Lakes 271

Data Lakes Azure Big Data Big Data 271

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya. If all of these describe you, then this Blogathon announcement is for you!

Data Science 328

Data Science Analytics Analytics Hadoop 328

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better.

Data Science 319

Data Science Natural Language Processing Deep Learning Deep Learning 319

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. As the global cloud computing market is projected to grow from USD 626.4

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Data Science 101

MARCH 18, 2020

Oracle Cloud Infrastructure. Microsoft Azure Regions. Microsoft Azure has 57 global regions! Azure has much better coverage in India with 3 regions; 2 regions in Africa, and 4 in Australia. Also, Azure is the first provider with a region planned for Mexico. Azure Cloud Regions. Overall Comparison.

Azure 145

Azure AWS Data Science Cloud Computing 145

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Data Science Blog

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. The following Terraform script will create an Azure Resource Group, a SQL Server, and a SQL Database.

Data Warehouse 259

Data Warehouse Azure SQL Database 259

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Analytics Vidhya

NOVEMBER 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven.

Data Science 343

Data Science Analytics Analytics Azure 343

Analytics Vidhya

NOVEMBER 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data lineage is the process of analyzing the path of the data and how it is involved in different methods with time. Many businesses and companies use it to get an idea of the source, data pathway, and how the data is […].

Data Science 336

Data Science Analytics Analytics Azure 336

Data Science Dojo

JULY 24, 2024

Despite its large size, Meta has made this model open-source and accessible through various platforms, including Hugging Face, GitHub, and several cloud providers like AWS, Nvidia, Microsoft Azure, and Google Cloud. Synthetic Data Generation and Model Distillation The Llama 3.1 Availability on Multiple Platforms Llama 3.1

Azure 396

Azure AWS AI AI 396

Analytics Vidhya

FEBRUARY 21, 2023

Introduction Cloud engineers are responsible for building and monitoring cloud-based systems. They must deeply understand cloud technology, platform architecture, data science, and system integration. Are you preparing for a cloud engineer interview? Do you want to stand out and land your dream job?

Data Science 291

Data Science Analytics Analytics Azure 291

Data Science Dojo

FEBRUARY 20, 2023

Best tools and platforms for MLOPs – Data Science Dojo Google Cloud Platform Google Cloud Platform is a comprehensive offering of cloud computing services. 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

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used. Click to enlarge!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Pickl AI

APRIL 7, 2025

Summary: This blog explains the difference between cloud computing and grid computing in simple terms. Discover how each impacts industries like data science and make smarter tech decisions. Ideal for beginners and tech enthusiasts exploring modern computing trends. What Exactly Is Cloud Computing?

Cloud Computing 52

Cloud Computing Data Science Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

MARCH 11, 2025

Summary: Big Data and Cloud Computing are essential for modern businesses. Big Data analyses massive datasets for insights, while Cloud Computing provides scalable storage and computing power. Introduction In todays digital world, we generate a huge amount of data every second.

Cloud Computing 52

Cloud Computing Big Data Big Data Big Data Analytics 52

Data Science Connect

JANUARY 27, 2023

Understanding how to design and implement data models is important for data engineers as it helps them understand how to organize and structure data for efficient storage and retrieval. With these skills, you will be able to handle and process large amounts of data and make it available for analysis and decision making.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

Towards AI

JANUARY 29, 2025

Data Handling and Preprocessing: Data Cleaning, Augmentation, and Feature Engineering 7. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. Learn to use cloud platforms like AWS, Google Cloud, and Azure for deploying AI models.

Deep Learning 94

Deep Learning Deep Learning Machine Learning Machine Learning 94

ODSC - Open Data Science

MAY 5, 2023

Data science and data engineering are incredibly resource intensive. By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware.

Data Science 52

Data Science Data Engineering Data Engineer Data Engineering 52

Becoming Human

MAY 15, 2023

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. How much to learn? What to do next?

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

DECEMBER 1, 2023

We are all familiar with Microsoft and Microsoft Azure , but have you explored their wide range of learning paths, available for free? MLOps End-to-end Machine Learning Operations (MLOps) with Azure Machine Learning In this learning path, you’ll learn how to implement key concepts to build an end-to-end MLOps solution.

Data Science 52

Data Science Azure Machine Learning Machine Learning 52

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

Data Science Dojo

MAY 24, 2024

AI engineering is the discipline that combines the principles of data science, software engineering, and machine learning to build and manage robust AI systems. R provides excellent packages for data visualization, statistical testing, and modeling that are integral for analyzing complex datasets in AI. What is AI Engineering?

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

ODSC - Open Data Science

FEBRUARY 17, 2023

The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise. In a change from last year, there’s also a higher demand for those with data analysis skills as well. Having mastery of these two will prove that you know data science and in turn, NLP.

Data Science 111

Data Science Deep Learning Deep Learning Natural Language Processing 111

Mlearning.ai

MAY 23, 2023

While specific requirements may vary depending on the organization and the role, here are the key skills and educational background that are required for entry-level data scientists — Skillset Mathematical and Statistical Foundation Data science heavily relies on mathematical and statistical concepts.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

DrivenData Labs

MAY 24, 2023

Currently pursuing graduate studies at NYU's center for data science. Alejandro Sáez: Data Scientist with consulting experience in the banking and energy industries currently pursuing graduate studies at NYU's center for data science. What motivated you to compete in this challenge? The federated learning aspect.

Machine Learning 225

Machine Learning Machine Learning Data Science Decision Trees 225

Data Science 101

MARCH 18, 2020

Oracle Cloud Infrastructure. Microsoft Azure Regions. Microsoft Azure has 57 global regions! Azure has much better coverage in India with 3 regions; 2 regions in Africa, and 4 in Australia. Also, Azure is the first provider with a region planned for Mexico. Azure Cloud Regions. Overall Comparison.

Azure 52

Azure AWS Cloud Computing Data Science 52

Data Science Blog

JUNE 21, 2023

Cloud-Based infrastructure with process mining? Depending on the data strategy of one organization, one cost-effective approach to process mining could be to leverage cloud computing resources. By utilizing these services, organizations can store large volumes of event data without incurring substantial expenses.

Big Data 130

Big Data Big Data Data Engineering Data Engineering 130

Smart Data Collective

NOVEMBER 8, 2020

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. Learn Cloud Computing.

Data Engineering 104

Data Engineering Data Engineer Data Engineering Data Engineering 104

DataSeries

OCTOBER 13, 2024

A career in data science is highly in demand for skilled professionals. There has been growing speculation that by 2030, the role of traditional data scientists might face a significant decline or transformation. This prediction is driven by advancements in technology, automation, and shifts in how businesses utilize data.

Data Science 40

Data Science Data Scientist ML ML 40