Analytics Vidhya

JUNE 28, 2021

The post MLOps : Machine Learning Operations in Microsoft Azure appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Machine Learning Operations (MLOps) is the primary way to increase the.

Machine Learning 356

Machine Learning Machine Learning Azure Data Science 356

Analytics Vidhya

JANUARY 30, 2023

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Azure 327

Azure Database Analytics Analytics 327

Analytics Vidhya

DECEMBER 20, 2022

Before seeing the practical implementation of the use case, let’s briefly introduce Azure Data Lake Storage Gen2 and the Paramiko module. Introduction to Azure Data Lake Storage Gen2 Azure Data Lake Storage Gen2 is a data storage solution specially designed for big data […].

Data Lakes 271

Data Lakes Azure Big Data Big Data 271

Data Science Blog

SEPTEMBER 19, 2023

With the evolution of cloud computing, many organizations are now migrating their Data Warehouse Systems to the cloud for better scalability, flexibility, and cost-efficiency. using for loops in Python). 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

Towards AI

AUGUST 24, 2024

Azure/OpenAI public repo dominance: Azure shows 20x more new repos each month than the next leading hyperscaler, with OpenAI usage also dominating. I leveraged GitHub repository creation data to analyze adoption trends in AI and cloud computing adoption. Code below, analysis follows.

Azure 98

Azure Python AI AI 98

Data Science Connect

JANUARY 27, 2023

Learn a programming language: Data engineers often use programming languages like Python or Java to write scripts and programs that automate data processing tasks. It is important to learn a language that is most commonly used in the industry and one that is best suited to your project needs.

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

Azure 52

Azure Data Engineering Data Engineering Data Engineering 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. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

JULY 11, 2024

Summary: Platform as a Service (PaaS) offers a cloud development environment with tools, frameworks, and resources to streamline application creation. Introduction The cloud computing landscape has revolutionized the way businesses approach IT infrastructure and application development.

Cloud Computing 52

Cloud Computing AWS Azure Database 52

Smart Data Collective

NOVEMBER 8, 2020

Data engineering primarily revolves around two coding languages, Python and Scala. You should learn how to write Python scripts and create software. As such, you should find good learning courses to understand the basics or advance your knowledge of Python. Learn Cloud Computing.

Data Engineering 104

Data Engineering Data Engineering Data Engineering Data Engineer 104

Data Science Dojo

MAY 24, 2024

Python Python is perhaps the most critical programming language for AI due to its simplicity and readability, coupled with a robust ecosystem of libraries like TensorFlow, PyTorch, and Scikit-learn, which are essential for machine learning and deep learning.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

Smart Data Collective

JUNE 4, 2021

Programming Language (R or Python). Programmers can start with either R or Python. it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Python can be added to the skill set later. Both R (ggplot2) and python (Matplotlib) have excellent graphing capabilities.

Data Science 132

Data Science Exploratory Data Analysis Machine Learning Machine Learning 132

Data Science Dojo

JULY 3, 2024

They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization. Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Mlearning.ai

APRIL 28, 2023

Photo by Agê Barros on Unsplash As a programmer you must know that Python is an interpreter programming language and these sorts of programming languages are slow in comparison to compiler programming languages like Java and C++. pb can decrease execution time for Python. pb can decrease execution time for Python.

ML 52

ML ML Python Machine Learning 52

Towards AI

AUGUST 8, 2024

APIs and cloud computing platforms extend the usage of both frameworks. It can also be used in a variety of languages, such as Python, C++, JavaScript, and Java. Cloud Integration: Google Cloud AI Platform: Integrating well with the Google Cloud API, TensorFlow can provide managed services for training and serving models.

Deep Learning 105

Deep Learning Deep Learning Machine Learning Machine Learning 105

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects. Knowing some SQL is also essential.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Analytics Vidhya

MARCH 8, 2023

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

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Analytics Vidhya

APRIL 8, 2023

Applications are built, then turned into Images, and these Containers are run in the cloud to be visible to everyone. And a Containerized application can run anywhere in different operating systems […] The post Cloud Run as a Serverless Platform to Deploy Containers appeared first on Analytics Vidhya.

Analytics 338

Analytics Analytics Azure Cloud Computing 338

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? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

Data Science 328

Data Science Analytics Analytics Hadoop 328

Analytics Vidhya

JANUARY 30, 2023

Introduction Data has become an essential part of our daily lives in today’s digital age. From searching for a product on e-commerce platforms to placing an order and receiving it at home, we are constantly generating and consuming data.

Analytics 306

Analytics Analytics Azure Data Engineering 306

ODSC - Open Data Science

MAY 5, 2023

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. As such, here are a few data engineering and data science cloud options to make your life easier.

Data Science 52

Data Science Data Engineering Data Engineering Data Engineering 52

Pickl AI

JULY 30, 2024

The University of Nottingham offers a Master of Science in Bioinformatics, which is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming , and Data Analytics. Skills Develop proficiency in programming languages like Python , R, and SQL.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

NOVEMBER 28, 2024

Key programming languages include Python and R, while mathematical concepts like linear algebra and calculus are crucial for model optimisation. Key Takeaways Strong programming skills in Python and R are vital for Machine Learning Engineers. Familiarity with cloud computing tools supports scalable model deployment.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

JANUARY 13, 2025

Key Skills Proficiency in programming languages like Python and R. Proficiency in programming languages like Python and SQL. Proficiency in programming languages like Python or Java. Key Skills Experience with cloud platforms (AWS, Azure). Key Skills Proficiency in programming languages such as C++ or Python.

AI 52

AI AI Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus.

Data Science 52

Data Science Data Scientist Apache Hadoop Machine Learning 52

Hacker News

FEBRUARY 8, 2024

There are also well-founded worries about the security of the Azure cloud. Meanwhile, industry darling Okta, which provides cloud-based software that enables user log-in to various applications, got comprehensively owned. PyPI (a Python counterpart of Node.js) has suffered from similar problems.

Azure 181

Azure Cloud Computing AWS Python 181

Pickl AI

MAY 15, 2024

You can adopt these strategies as well as focus on continuous learning to upscale your knowledge and skill set. Leverage Cloud Platforms Cloud platforms like AWS, Azure, and GCP offer a suite of scalable and flexible services for data storage, processing, and model deployment.

Data Analyst 52

Data Analyst Data Scientist Data Science Machine Learning 52

Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. Focus on Python and R for Data Analysis, along with SQL for database management. Embrace Cloud Computing Cloud computing is integral to modern Data Science practices.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

The MLOps Blog

JUNE 27, 2023

For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc., Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Pickl AI

NOVEMBER 4, 2024

Python Known for its simplicity and versatility, Python is widely used for data manipulation and analysis. Google Cloud Google Cloud provides robust data processing and storage tools, such as BigQuery for analytics and Dataflow for stream and batch processing, making it easier for Data Engineers to manage and analyse data.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52