Analytics Vidhya

MAY 18, 2021

Why Use Earth Engine Earth Engine is a cloud-computing platform for. ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Displaying Earth Engine Datasets in Linked Multiple Panels with Web App appeared first on Analytics Vidhya.

Cloud Computing 370

Cloud Computing Data Science Analytics Analytics 370

Analytics Vidhya

FEBRUARY 1, 2024

Introduction In cloud computing, we face different services designed for specific purposes. AWS (Amazon Web Services) is a formidable force in this landscape. Choosing exemplary service is a notable task, as missteps can lead to higher bills.

AWS 318

AWS Cloud Computing Analytics Analytics 318

KDnuggets

JANUARY 8, 2020

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

Data Science 400

Data Science Data Scientist SQL Machine Learning 400

Pickl AI

APRIL 1, 2025

Summary: This cloud computing roadmap guides you through the essential steps to becoming a Cloud Engineer. Learn about key skills, certifications, cloud platforms, and industry demands. Thats cloud computing! The demand for cloud experts is skyrocketing! Start your journey today! And guess what?

Cloud Computing 52

Cloud Computing Azure AWS Data Science 52

KDnuggets

JUNE 16, 2025

Josep writes on all things AI, covering the application of the ongoing explosion in the field.

Natural Language Processing 302

Natural Language Processing Data Science AI AI 302

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 67

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 67

Pickl AI

JANUARY 30, 2023

Hence for an individual who wants to excel as a data scientist, learning Python is a must. The role of Python is not just limited to Data Science. In fact, Python finds multiple applications. Hence making a career in Python can open up several new opportunities. Why should one learn Python?

Python 97

Python Machine Learning Machine Learning Data Science 97

Flipboard

JUNE 16, 2025

In this post, I’ll show you exactly how I did it with detailed explanations and Python code snippets, so you can replicate this approach for your next machine learning project or competition. 👉🏻 I run the AI Weekender , which features fun weekend AI projects and quick, practical tips to help you build with AI.

Machine Learning 111

Machine Learning Machine Learning Data Science Artificial Intelligence 111

Analytics Vidhya

OCTOBER 4, 2022

It is a Lucene-based search engine developed in Java but supports clients in various languages ​​such as Python, C#, Ruby, and PHP. Introduction Elasticsearch is a search platform with quick search capabilities. It takes unstructured data from multiple sources as input and stores it […].

AWS 289

AWS Data Science Python Analytics 289

AWS Machine Learning Blog

JUNE 26, 2025

Open JupyterLab, then create a new Python notebook instance for this project. Run the script in JupyterLab as a Jupyter notebook or run as a Python script: python Lunar_DDL_AD.py Code structure The Python implementation centers around an anomaly detection pipeline, structured in the main script.

AWS 99

AWS AI AI Python 99

O'Reilly Media

NOVEMBER 26, 2024

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. To further complicate things, topics like cloud computing, software operations, and even AI don’t fit nicely within a university IT department.

Cloud Computing 115

Cloud Computing AWS Azure Machine Learning 115

Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

Computer Science 146

Computer Science Computer Science ETL ML 146

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). Infrastructure as Code (IaC) can be a game-changer in this scenario.

Data Warehouse 259

Data Warehouse Azure SQL Database 259

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 Engineer Data Engineering 130

AWS Machine Learning Blog

MARCH 19, 2025

To set up the integration, follow these steps: Create an AWS Lambda function with Python runtime and below code to be the backend for the API. Make sure that we have Powertools for AWS Lambda (Python) available in our runtime, for example, by attaching a Lambda layer to our function.

AWS 115

AWS AI AI Cloud Computing 115

AWS Machine Learning Blog

JUNE 26, 2025

We will use a customer review analysis example to demonstrate how Bedrock generates structured outputs, such as sentiment scores, with simplified Python code. To try the Bedrock techniques demonstrated in this blog, follow the steps to Run example Amazon Bedrock API requests through the AWS SDK for Python (Boto3).

AWS 86

AWS Python AI AI 86

Towards AI

JANUARY 29, 2025

Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. Programming: Learn Python, as its the most widely used language in AI/ML. Problem-Solving and Critical Thinking 2.

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

Towards AI

MARCH 6, 2025

Python code provided. Beyond technology, his work has influenced diverse fields such as neurobiology, statistical physics, and computer science (e.g., cybersecurity, cloud computing, and machine learning). Author(s): Eyal Kazin PhD Originally published on Towards AI. This member-only story is on us.

Artificial Intelligence 64

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 64

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

Data Science Dojo

OCTOBER 4, 2024

Explore the top 5 no-code AI tools for software developers Key Skills Required Proficiency in programming languages such as Python, C++, and JavaScript. Programming Skills: Proficiency in programming languages such as Python, R, Java, and SQL. Strong problem-solving and critical-thinking abilities.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

Pickl AI

NOVEMBER 21, 2024

Summary: This article discusses the interoperability of Python, MATLAB, and R, emphasising their unique strengths in Data Science, Engineering, and Statistical Analysis. Introduction Python, MATLAB, and R are widely recognised as essential programming tools, excelling in specific domains. Its market size is projected to reach USD 100.6

Python 52

Python Cloud Computing Machine Learning Machine Learning 52

AWS Machine Learning Blog

APRIL 7, 2025

Discover Llama 4 models in SageMaker JumpStart SageMaker JumpStart provides FMs through two primary interfaces: SageMaker Studio and the Amazon SageMaker Python SDK. Alternatively, you can use the SageMaker Python SDK to programmatically access and use SageMaker JumpStart models.

AWS 117

AWS Machine Learning Machine Learning ML 117

Smart Data Collective

SEPTEMBER 30, 2022

Unfortunately, starting a different type of cloud-based business might be a lot more expensive. The good news is that many investors recognize the merits of cloud computing and are happy to get behind promising cloud startups. Find the Best Investors for Your Cloud Startups. Strategies.

Cloud Computing 124

Cloud Computing Python Big Data Big Data 124

AWS Machine Learning Blog

MAY 3, 2023

times the speed for BERT, making Graviton-based instances the fastest compute optimized instances on AWS for these models. As a result, we are delighted to announce that AWS Graviton-based instance inference performance for PyTorch 2.0 is up to 3.5 Additionally, the latency of inference is also reduced, as shown in the following figure.

AWS 110

AWS Cloud Computing Python Machine Learning 110

Flipboard

APRIL 24, 2025

Familiarity with AWS Identity and Access Management (IAM) , Amazon Elastic Compute Cloud (Amazon EC2) , OpenSearch Service, and SageMaker. Familiarity with Python programming language. About the Authors Renan Bertolazzi is an Enterprise Solutions Architect helping customers realize the potential of cloud computing on AWS.

AWS 149

AWS Database Machine Learning Machine Learning 149

ODSC - Open Data Science

MARCH 5, 2025

Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI. In the ever-expanding world of data science, the landscape has changed dramatically over the past two decades.

Data Science 52

Data Science Cloud Computing SQL Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. This can lead to higher latency and increased network bandwidth utilization.

AWS 128

AWS Cloud Computing ML ML 128

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 Engineer Data Engineering 104

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

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 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

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

AWS Machine Learning Blog

APRIL 1, 2025

Prerequisites To complete the solution, you need to have the following prerequisites in place: uv package manager Install Python using uv python install 3.13 Pranjali Bhandari is part of the Prototyping and Cloud Engineering (PACE) team at AWS, based in the San Francisco Bay Area.

AWS 122

AWS AI AI Python 122

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

Towards AI

AUGUST 24, 2024

I leveraged GitHub repository creation data to analyze adoption trends in AI and cloud computing adoption. Dependent on some manual investigation of the right python package names. Dependent on some manual investigation of the right python package names. Code below, analysis follows.

Azure 98

Azure Python AI AI 98

AWS Machine Learning Blog

OCTOBER 30, 2023

You can access the pre-trained models, solution templates, and examples through the SageMaker JumpStart landing page in Amazon SageMaker Studio or use the SageMaker Python SDK. He is interested in the confluence of machine learning with cloud computing. He got his master’s degree from Columbia University.

Machine Learning 127

Machine Learning Machine Learning Natural Language Processing Cloud Computing 127

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Cloud Computing and Related Mechanics. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

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. Since python programmers found it easy to use, PyTorch gained popularity at a rapid rate. Let’s answer that question. What is TensorFlow?

Deep Learning 105

Deep Learning Deep Learning Machine Learning Machine Learning 105