KDnuggets

JULY 17, 2025

By Matthew Mayo , KDnuggets Managing Editor on July 17, 2025 in Python Image by Editor | ChatGPT Introduction Pythons standard library is extensive, offering a wide range of modules to perform common tasks efficiently. Remembering Insertion Order with OrderedDict Before Python 3.7, This is especially useful for grouping items.

Natural Language Processing 298

Natural Language Processing Data Science Python Machine Learning 298

Towards AI

DECEMBER 26, 2024

Author(s): Lazar Gugleta Originally published on Towards AI. Improving your business is a daily and tedious task, but using competition data can provide interesting underlying insights. Today, we will explore how to collect, process, and analyze Google Maps data to your advantage and eventually improve your local business.

Data Analysis 119

Data Analysis Data Analysis Python AI 119

Towards AI

DECEMBER 26, 2024

Last Updated on December 26, 2024 by Editorial Team Author(s): Lazar Gugleta Originally published on Towards AI. Improving your business is a daily and tedious task, but using competition data can provide interesting underlying insights. We will use the Octoparse Web Scraping tool to obtain the data and Python to analyze it quickly.

Data Analysis 105

Data Analysis Data Analysis Python AI 105

KDnuggets

JUNE 27, 2025

By Vinod Chugani on June 27, 2025 in Data Science Image by Author | ChatGPT Introduction Creating interactive web-based data dashboards in Python is easier than ever when you combine the strengths of Streamlit , Pandas , and Plotly. This tutorial demonstrates a significant shift in how data scientists can share their work.

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Natural Language Processing Data Science Machine Learning Machine Learning 257

KDnuggets

JULY 15, 2025

By Josep Ferrer , KDnuggets AI Content Specialist on July 15, 2025 in Data Science Image by Author Delivering the right data at the right time is a primary need for any organization in the data-driven society. But lets be honest: creating a reliable, scalable, and maintainable data pipeline is not an easy task.

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Data Pipeline Natural Language Processing Data Science SQL 271

KDnuggets

JUNE 26, 2025

What if you could paste any CSV URL and get a professional data quality report in under 30 seconds? No Python environment setup, no manual coding, no switching between tools. Unlike writing standalone Python scripts, n8n workflows are visual, reusable, and easy to modify.

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Data Quality Data Science Natural Language Processing Machine Learning 268

Flipboard

JULY 1, 2025

We will explore collections of tools, resources, tutorials, guides, and learning paths, all designed to help you maximize your learning journey in data science. This is a must-have bookmark for any data scientist working with Python, encompassing everything from data analysis and machine learning to web development and automation.

Data Science 171

Data Science Natural Language Processing Machine Learning Machine Learning 171

Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Flipboard

JUNE 13, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind?

Analytics 154

Analytics Analytics Natural Language Processing Data Science 154

KDnuggets

JUNE 18, 2025

However, the Jupyter Widgets change how you can use your Jupyter Notebook, as it allows you to transform the data you have in the notebook into interactive visualization. By using Python code, we can generate an interactive visualization that enables users to engage in a more intuitive data exploration process.

Data Scientist 249

Data Scientist Natural Language Processing Data Science Machine Learning 249

KDnuggets

JULY 7, 2025

Data Project - Uber Business Modeling We will use it with Jupyter Notebook, combining it with Python for data analysis. To make things more exciting, we will work on a real-life data project. Here is the link to the data project we’ll be using in this article. So enough with the terms, let’s get started!

SQL 265

SQL Data Science Natural Language Processing Machine Learning 265

Flipboard

JULY 16, 2025

Understanding Raw Data Raw data contains inconsistencies, noise, missing values, and irrelevant details. Understanding the nature, format, and quality of raw data is the first step in feature engineering. Data audit : Identify variable types (e.g.,

Machine Learning 151

Machine Learning Machine Learning Natural Language Processing Data Science 151

Flipboard

JULY 9, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Ways to Transition Into AI from a Non-Tech Background You have a non-tech background?

Machine Learning 146

Machine Learning Machine Learning Natural Language Processing Data Science 146

Pickl AI

NOVEMBER 4, 2024

Summary: Python for Data Science is crucial for efficiently analysing large datasets. With numerous resources available, mastering Python opens up exciting career opportunities. Introduction Python for Data Science has emerged as a pivotal tool in the data-driven world. in 2022, according to the PYPL Index.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Flipboard

JUNE 30, 2025

Publish AI, ML & data-science insights to a global community of data professionals. In 2018-ish, when I took my first university courses on classic machine learning, behind the scenes, key methods were already being developed that would lead to AI’s boom in the early 2020s. You acquire some (real-world) dataset.

Machine Learning 142

Machine Learning Machine Learning Data Science ML 142

AWS Machine Learning Blog

OCTOBER 24, 2024

Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline. Here’s a high-level breakdown of how the Python script is executed: Load the YOLOv9 model – This model is used for detecting objects in each frame. pip install opencv-python ultralytics !pip

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AWS Python Algorithm ML 111

AWS Machine Learning Blog

JUNE 26, 2025

With this growth, methods of analyzing this data for anomalies need to effectively scale and without risking missing subtle, but important deviations in spacecraft behavior. Fortunately, AWS uses powerful AI/ML applications within Amazon SageMaker AI that can address these needs.

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AWS AI AI Python 98

AWS Machine Learning Blog

NOVEMBER 15, 2024

Oil and gas data analysis – Before beginning operations at a well a well, an oil and gas company will collect and process a diverse range of data to identify potential reservoirs, assess risks, and optimize drilling strategies. Each category necessitates specialized generative AI-powered tools to generate insights.

Database 118

Database SQL Data Analysis Data Analysis 118

AWS Machine Learning Blog

NOVEMBER 12, 2024

NOTE : Output ETF names do not represent the actual data in the dataset used in this demonstration. What would the LLM’s response or data analysis be when the user’s questions in industry specific natural language get more complex? However, there is room for improvement in the analysis of data from structured datasets.

SQL 122

SQL AWS AI AI 122

Flipboard

JUNE 13, 2025

As artificial intelligence (AI) continues to transform industries—from healthcare and finance to entertainment and education—the demand for professionals who understand its inner workings is skyrocketing. Yet, navigating the world of AI can feel overwhelming, with its complex algorithms, vast datasets, and ever-evolving tools.

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Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 70

Pickl AI

JANUARY 12, 2025

Summary: The article explores the differences between data driven and AI driven practices. Data-driven and AI-driven approaches have become key in how businesses address challenges, seize opportunities, and shape their strategic directions.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Towards AI

DECEMBER 18, 2024

Last Updated on December 18, 2024 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI. Can it do decent quantitative analysis from a data visualization? For me, one of the most useful GPT-4 tools is the ability to analyze and interpret image data. Published via Towards AI

Data Visualization 97

Data Visualization Python AI AI 97

Dataconomy

NOVEMBER 7, 2024

Microsoft has introduced a new multi-agent artificial intelligence (AI) system called Magnetic-One, designed to complete complex tasks using multiple specialized agents. These agents work together to solve open-ended tasks, making Magnetic-One suitable for applications like software engineering, data analysis, and scientific research.

AI 91

AI AI Artificial Intelligence Artificial Intelligence 91

Pickl AI

OCTOBER 27, 2024

Cutting-Edge Technology Exposure Data Science courses often provide exposure to cutting-edge technologies and methodologies. Students learn to work with tools like Python, R, SQL, and machine learning frameworks, which are essential for analysing complex datasets and deriving actionable insights1.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Flipboard

JULY 3, 2025

Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. Model development capabilities from SageMaker AI are available within SageMaker Unified Studio.

ML 106

ML ML AWS Data Engineering 106

Pickl AI

JULY 22, 2025

Introduction Large language models (LLMs) are transforming data science by unlocking new levels of automation, insight, and efficiency. Harnessing the power of deep learning , these advanced AI systems can read, interpret, and generate human-like language at remarkable scale. What Is a Large Language Model (LLM) in AI?

Data Science 52

Data Science Data Analysis Data Analysis Deep Learning 52

Pickl AI

JUNE 5, 2025

This method uses distance metrics and linkage criteria to build dendrograms, revealing data structure. While computationally intensive, it excels in interpretability and diverse applications, with practical implementations available in Python for exploratory data analysis. What is Hierarchical Clustering?

Clustering 52

Clustering Machine Learning Machine Learning Exploratory Data Analysis 52

Towards AI

DECEMBER 18, 2024

Last Updated on December 18, 2024 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI. Can it do decent quantitative analysis from a data visualization? For me, one of the most useful GPT-4 tools is the ability to analyze and interpret image data. Published via Towards AI

Data Visualization 111

Data Visualization Python AI AI 111

Dataconomy

MARCH 11, 2025

This tool is indispensable when working with languages like Python and Ruby, where flexibility and quick execution are paramount. This interaction allows developers to harness the power of AI while maintaining control over code execution through efficient API integrations.

Python 91

Python Artificial Intelligence Artificial Intelligence Data Analysis 91

Pickl AI

MARCH 21, 2025

Summary: Features of Python Programming Language is a versatile, beginner-friendly language known for its simple syntax, vast libraries, and cross-platform compatibility. It powers AI, web development, and automation. With continuous updates and strong community support, Python remains a top choice for developers.

Python 52

Python Data Science Machine Learning Machine Learning 52

Pickl AI

JUNE 5, 2025

Introduction In 2025, the role of a data scientist remains one of the most sought-after and lucrative career paths in India’s rapidly growing technology and business sectors. Data quality issues are common in Indian datasets, so cleaning and preprocessing are critical. Data Manipulation: Pandas, NumPy, dplyr. Master’s and Ph.D.:

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

How to Learn Machine Learning

APRIL 26, 2025

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form. Deployment and Monitoring Once a model is built, it is moved to production.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. For more details, refer to Vector similarity functions. The below flow diagram illustrates this process.

Python 52

Python Database SQL Machine Learning 52

AWS Machine Learning Blog

JANUARY 15, 2025

This post introduces HCLTechs AutoWise Companion, a transformative generative AI solution designed to enhance customers vehicle purchasing journey. Powered by generative AI services on AWS and large language models (LLMs) multi-modal capabilities, HCLTechs AutoWise Companion provides a seamless and impactful experience.

AWS 105

AWS SQL AI AI 105

Flipboard

JULY 7, 2025

Amazon Bedrock is a fully managed service that provides access to high-performing foundation models (FMs) from leading AI companies through a single API. Using Amazon Bedrock, you can build secure, responsible generative AI applications. The core of the video processing is a modular pipeline implemented in Python.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

Since then, we have optimized data strategies, developed customized solutions for customers, and prepared for the technological revolution reshaping the industry. AI now plays a pivotal role in the development and evolution of the automotive sector, in which Applus+ IDIADA operates.

Algorithm 85

Algorithm Machine Learning Machine Learning K-nearest Neighbors 85

AWS Machine Learning Blog

APRIL 7, 2025

These models are designed for industry-leading performance in image and text understanding with support for 12 languages, enabling the creation of AI applications that bridge language barriers. With SageMaker AI, you can streamline the entire model deployment process.

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