ODSC - Open Data Science

APRIL 23, 2025

Amazon Web Services(AWS) AWS offers one of the most extensive AI and ML infrastructures in the world. Credits can be used to run Python functions in the cloud without infrastructure management, ideal for ETL jobs, ML inference, or batch processing. Modal Modal offers serverless compute tailored for data-intensive workloads.

Data Scientist 52

Data Scientist Azure Apache Kafka ML 52

Data Science 101

NOVEMBER 7, 2019

Azure Synapse. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Azure Arc allows deployment and management of Azure services to any environment which can run Kubernetes. R Support for Azure Machine Learning. Python support has been available for a while.

Data Science 106

Data Science Azure SQL Machine Learning 106

Mlearning.ai

JULY 8, 2023

One of them is Azure functions. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. An Azure function contains code written in a programming language, for instance Python, which is triggered on demand.

ETL 52

ETL Azure Python Internet of Things 52

Data Science 101

NOVEMBER 22, 2019

AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day. Many announcements came out regarding storage of all types at AWS. Much of this is in anticipation of AWS re:Invent, coming in early December 2019. Much of this is in anticipation of AWS re:Invent, coming in early December 2019. Fascinating Stuff!

Cloud Data 99

Cloud Data Data Science Azure AWS 99

Towards AI

NOVEMBER 6, 2024

Since SimTalk is unfamiliar to LLMs due to its proprietary nature and limited training data, the out-of-the-box code generation quality is quite poor compared to more popular programming languages like Python, which have extensive publicly available datasets and broader community support.

Azure 119

Azure AWS Python AI 119

Mlearning.ai

APRIL 24, 2023

I just finished learning Azure’s service cloud platform using Coursera and the Microsoft Learning Path for Data Science. In my last consulting job, I was asked to do tasks that Data Factory and Form Recognizer can easily do for AWS/Amazon cloud services. It will take a couple of months but it is worth it!

Azure 52

Azure SQL Database Python 52

Pickl AI

JUNE 5, 2025

Below are the essential core skills that aspiring and practicing data scientists need to excel in India’s competitive job market: Programming Languages: Proficiency in Python and R is essential. Data scientists in India use a broad toolkit tailored to local industry needs: Programming: Python, R, SQL.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

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

Flipboard

JUNE 13, 2025

Tina Huang breaks down the core competencies that every aspiring AI professional needs to succeed, from mastering foundational programming languages like Python to understanding the ethical implications of AI-driven systems. Key languages include: Python: Known for its simplicity and versatility, Python is the most widely used language in AI.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

Pickl AI

NOVEMBER 18, 2024

Industry-recognised certifications, like IBM and AWS, provide credibility. Programming languages such as Python and R are essential for advanced analytics. Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise. Who is a Data Analyst?

Data Analyst 110

Data Analyst SQL Python AWS 110

ODSC - Open Data Science

AUGUST 3, 2023

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. Here’s how. Check them out here.

Big Data 52

Big Data Big Data AWS ML 52

DrivenData Labs

NOVEMBER 14, 2023

Where to access the data Access programmatically through Microsoft’s Planetary Computer Access programmatically through Google Earth Engine Getting started Example notebook from the Planetary Computer showing how to access Landsat data and perform some basic analysis (Python) Google Earth Engine starter code for downloading Landsat surface reflectance (..)

Python 162

Python AWS Azure Data Analysis 162

Towards AI

JANUARY 3, 2024

In this article, I will talk about what a very basic information extraction pipeline might look like and how, using modern Python frameworks like LangChain and Streamlit, one can easily build web applications around LLMs. Methodology High-Level Diagram of an Information Extraction System. Create interactive data apps… streamlit.io

Natural Language Processing 119

Natural Language Processing Machine Learning Machine Learning AWS 119

Pickl AI

APRIL 1, 2025

Core skills include networking, security, virtualisation, and proficiency in cloud platforms like AWS, Azure, and GCP. Certifications like AWS Solutions Architect and Azure Solutions Architect boost job prospects. AWS EC2, Azure Virtual Machines). Google App Engine, AWS Lambda).

Cloud Computing 52

Cloud Computing Azure AWS Data Science 52

The MLOps Blog

MAY 10, 2023

How to save a trained model in Python? Saving trained model with pickle The pickle module can be used to serialize and deserialize the Python objects. For saving the ML models used as a pickle file, you need to use the Pickle module that already comes with the default Python installation. Now let’s see how we can save our model.

Python 105

Python ML ML Database 105

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

Data Science 101

MARCH 14, 2020

Azure Functions now support Python 3.8 This allows for monitoring, auditing, version tracking, and security. This is big for Google. Announcing Tensorflow Quantum Google Announces an open source library for prototyping quantum machine learning models. This saves on costs.

Cloud Data 105

Cloud Data Data Science Data Warehouse Azure 105

ODSC - Open Data Science

OCTOBER 27, 2023

We will also discuss implementation details with the popular open-source LangChain Python library. Refer to this GitHub repository for a full set of Python Notebooks that explain the process step-by-step in detail. About the author Anjan Biswas is a Senior AI Specialist Solutions Architect at Amazon Web Services (AWS).

AWS 98

AWS AI AI Data Science 98

Towards AI

JANUARY 6, 2025

Generative AI with LLMs course by AWS AND DEEPLEARNING.AI Prior experience in Python, ML basics, data training, and deep learning will come in handy for a smooth ride ahead. You must bring a basic understanding of linear algebra, calculus, and Python to build strength in ML algorithms, […]

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence AI AI 105

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. The top certification was for AWS (3.9%

AI 145

AI AI Azure AWS 145

phData

JUNE 5, 2025

Developers can benefit from a file-based development approach to implement business logic in Python, Snowpark, SQL, JavaScript, etc. All Some None My customers span across multiple Cloud Platforms No Yes (AWS and Azure) Yes (AWS, Azure, and GCP) Does the application need load balancing, failure recovery, or replication?

Database 52

Database Azure AWS SQL 52

How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark).

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

DrivenData Labs

MAY 21, 2024

This better reflects the common Python practice of having your top level module be the project name. AWS S3) separately from source code. We have now added support for Azure and GCS as well. Ruff is also emerging as a great all-purpose formatter and linter for Python codebases and may be an option in later CCDS versions.

Data Science 233

Data Science Python Data Scientist Data Warehouse 233

AWS Machine Learning Blog

DECEMBER 20, 2023

Whether logs are coming from Amazon Web Services (AWS), other cloud providers, on-premises, or edge devices, customers need to centralize and standardize security data. Solution overview Figure 1 – Solution Architecture Enable Amazon Security Lake with AWS Organizations for AWS accounts, AWS Regions, and external IT environments.

AWS 131

AWS ML ML Algorithm 131

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

Smart Data Collective

APRIL 29, 2020

AWS Glue helps users to build data catalogues, and Quicksight provides data visualisation and dashboard construction. The services from AWS can be catered to meet the needs of each business user. Microsoft Azure. Azure Data Explorer (ADX) enables the analysis of large streaming data in real time, and without preprocessing.

Data Warehouse 99

Data Warehouse Azure SQL ETL 99

Machine Learning World

MARCH 13, 2019

To make this happen we will use AWS Free Tie r and Docker containers and orchestration and Django app as a typical project Link on this project github: [link] Before go farther please install Docker first: [link] All code running under Python 3.6 We will search for Python, Nginx, PostgreSQL. RUN  — running a command.

AWS 52

AWS Python Azure Machine Learning 52

Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Python’s simplicity, versatility, and extensive library support make it the go-to language for AI development.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. Coupled with BYOM, the new Python SDK streamlines workflows even further, letting ML teams leverage Edge Impulse directly from their own development environments.

ML 98

ML ML Python Machine Learning 98

ODSC - Open Data Science

FEBRUARY 2, 2023

While knowing Python, R, and SQL are expected, you’ll need to go beyond that. As you’ll see in the next section, data scientists will be expected to know at least one programming language, with Python, R, and SQL being the leaders. Cloud Services The only two to make multiple lists were Amazon Web Services (AWS) and Microsoft Azure.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Towards AI

MARCH 3, 2024

From Code to Cloud: Building CI/CD Pipelines for Containerized Apps Photo by Simon Kadula on Unsplash Introduction U+1F516 Imagine yourself as a Data Scientist, leaning in over your keyboard, sculpting Python scripts that decode the mysteries hidden within your dataset. Build your Docker image using a Dockerfile. That’s a CD.

Data Science 115

Data Science Python Algorithm Azure 115

Pickl AI

NOVEMBER 27, 2024

Summary : Combining Python and R enriches Data Science workflows by leveraging Python’s Machine Learning and data handling capabilities alongside R’s statistical analysis and visualisation strengths. Python excels in Machine Learning, automation, and data processing, while R shines in statistical analysis and visualisation.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

IBM Journey to AI blog

OCTOBER 17, 2023

The key components of Instana are host agents and agent sensors deployed on platforms like IBM Cloud®, AWS, and Azure. Supported cloud platforms with IBM Instana IBM Instana supports IBM Cloud, AWS, Azure and SAP. The components gather, consolidate, and transmit detailed monitoring data to the Instana backend.

Clustering 92

Clustering Azure AWS Database 92

ODSC - Open Data Science

AUGUST 4, 2023

Recently, we spoke with Emily Webber, Principal Machine Learning Specialist Solutions Architect at AWS. She’s the author of “Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS.” And then I spent many years working with customers.

AWS 52

AWS Machine Learning Machine Learning Data Science 52

Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. This post will outline seven powerful python ml libraries that can help you in data science and different python ml environment. A python ml library is a collection of functions and data that can use to solve problems.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

O'Reilly Media

OCTOBER 19, 2021

If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch. However, not all Python code is equal. Why: Data Makes It Different. All ML projects are software projects.

ML 145

ML ML Data Scientist AWS 145

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