KDnuggets

JUNE 27, 2025

Born in India and raised in Japan, Vinod brings a global perspective to data science and machine learning education. Vinod focuses on creating accessible learning pathways for complex topics like agentic AI, performance optimization, and AI engineering.

Natural Language Processing 258

Natural Language Processing Data Science Machine Learning Machine Learning 258

Dataconomy

JUNE 12, 2025

Data engineers are the unsung heroes of the data-driven world, laying the essential groundwork that allows organizations to leverage their data for enhanced decision-making and strategic insights. What is a data engineer?

Data Engineering 91

Data Engineering Data Engineering Data Engineer Data Engineering 91

KDnuggets

JUNE 24, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Python 269

Python Natural Language Processing Data Science Machine Learning 269

KDnuggets

APRIL 19, 2024

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

Data Science 369

Data Science Deep Learning Deep Learning Business Intelligence 369

KDnuggets

DECEMBER 12, 2022

4 Useful Intermediate SQL Queries for Data Science • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 3 Free Machine Learning Courses for Beginners • 7 Essential Cheat Sheets for Data Engineering • 7 Techniques to Handle Imbalanced Data.

Data Science 279

Data Science SQL Machine Learning Machine Learning 279

KDnuggets

JUNE 17, 2025

Step 1: Choose a Topic To we will start by selecting a topic within the fields of AI, machine learning, or data science. Jayita Gulati is a machine learning enthusiast and technical writer driven by her passion for building machine learning models.

Natural Language Processing 276

Natural Language Processing Data Science Machine Learning Machine Learning 276

KDnuggets

FEBRUARY 13, 2023

SQL and Python Interview Questions for Data Analysts • Learn Machine Learning From These GitHub Repositories • Learn Data Engineering From These GitHub Repositories • The ChatGPT Cheat Sheet • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2

Data Analyst 271

Data Analyst SQL Python Machine Learning 271

KDnuggets

JUNE 18, 2025

Cornellius Yudha Wijaya is a data science assistant manager and data writer. While working full-time at Allianz Indonesia, he loves to share Python and data tips via social media and writing media. Cornellius writes on a variety of AI and machine learning topics.

Data Scientist 237

Data Scientist Natural Language Processing Data Science Machine Learning 237

KDnuggets

JUNE 13, 2025

Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies.

Natural Language Processing 318

Natural Language Processing Data Science Machine Learning Machine Learning 318

Analytics Vidhya

DECEMBER 12, 2022

Introduction Dear Data Engineers, this article is a very interesting topic. Let me give some flashback; a few years ago, Mr.Someone in the discussion coined the new word how ACID and BASE properties of DATA. The post Understand the ACID and BASE in Morden Data Engineering appeared first on Analytics Vidhya.

Data Engineering 353

Data Engineering Data Engineering Data Engineer Data Engineering 353

Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

KDnuggets

JUNE 10, 2025

By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on June 10, 2025 in Python Image by Author | Ideogram Python has become a primary tool for many data professionals for data manipulation and machine learning purposes because of how easy it is for people to use.

Python 228

Python Natural Language Processing Data Science Machine Learning 228

KDnuggets

JUNE 24, 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 Make Sense of a 10K+ Line GitHub Repos Without Reading the Code No time to read huge GitHub projects?

Natural Language Processing 178

Natural Language Processing Data Science Machine Learning Machine Learning 178

KDnuggets

JUNE 6, 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 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

Python 233

Python Natural Language Processing Data Science Machine Learning 233

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Basic knowledge of a SQL query editor.

Data Warehouse 113

Data Warehouse Machine Learning Machine Learning Cloud Data 113

KDnuggets

JUNE 19, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Data Science 225

Data Science Natural Language Processing Machine Learning Machine Learning 225

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 19, 2025

Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies.

Natural Language Processing 248

Natural Language Processing Data Science Machine Learning Machine Learning 248

KDnuggets

JUNE 23, 2025

Agentic AI works by understanding its environment, reasoning to develop plans, executing the plans, and learns from the output. Under the hood, agentic AI often integrates various machine learning techniques, including reinforcement learning, deep learning, and natural language processing, among others.

Natural Language Processing 275

Natural Language Processing Data Science AI AI 275

KDnuggets

JUNE 25, 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 10 FREE AI Tools That’ll Save You 10+ Hours a Week No tech skills needed.

Natural Language Processing 215

Natural Language Processing Data Science AI AI 215

KDnuggets

JUNE 16, 2025

Our Top 5 Free Course Recommendations --> Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Natural Language Processing 306

Natural Language Processing Data Science AI AI 306

Flipboard

JUNE 12, 2025

You can start with clean data from sources like seaborns built-in datasets, then graduate to messier real-world data. Part 2: Linear Algebra Every machine learning algorithm youll use relies on linear algebra. Why its essential: Your data is in matrices. And for optimization, you need calculus in action.

Data Science 161

Data Science Natural Language Processing Hypothesis Testing Machine Learning 161

AWS Machine Learning Blog

OCTOBER 28, 2024

In the modern, cloud-centric business landscape, data is often scattered across numerous clouds and on-site systems. This fragmentation can complicate efforts by organizations to consolidate and analyze data for their machine learning (ML) initiatives. You can now use the connector in your Athena queries.

Machine Learning 108

Machine Learning Machine Learning ML ML 108

KDnuggets

JUNE 11, 2025

Check on my guides on building and integrating MCP servers: Building A Simple MCP Server Control Your Spotify Playlist with an MCP Server Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models.

Natural Language Processing 188

Natural Language Processing Data Science Machine Learning Machine Learning 188

KDnuggets

JUNE 17, 2025

Conclusion Modal is an interesting platform, and I am learning more about it every day. It is a general-purpose platform, meaning you can use it for simple Python applications as well as for machine learning training and deployments. In short, it is not limited to just serving endpoints. The rest is handled by the Modal cloud.

Natural Language Processing 176

Natural Language Processing Machine Learning Machine Learning Data Science 176

Data Science Dojo

JULY 6, 2023

Data engineering tools are software applications or frameworks specifically designed to facilitate the process of managing, processing, and transforming large volumes of data. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

KDnuggets

JUNE 10, 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 Selling Your Side Project?

Data Scientist 207

Data Scientist Data Science Natural Language Processing Machine Learning 207

Data Science Dojo

MAY 10, 2023

Data Scientist Data scientists are responsible for designing and implementing data models, analyzing and interpreting data, and communicating insights to stakeholders. They require strong programming skills, knowledge of statistical analysis, and expertise in machine learning.

Data Science 368

Data Science Data Scientist Database Administration Machine Learning 368

KDnuggets

JUNE 12, 2025

Kanwal Mehreen Kanwal is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine. You don’t have to rebuild anything, you just connect the next piece.PDFs don’t have to feel like locked boxes anymore.

Data Science 259

Data Science Natural Language Processing Python Machine Learning 259

Flipboard

JUNE 9, 2025

What to build : Develop a script that pulls data from a source (spreadsheet, database, or API), generates a report, and emails it to a predefined list of recipients on a schedule.

Python 157

Python Natural Language Processing Data Science Machine Learning 157

Data Science Dojo

JULY 24, 2023

They allow data processing tasks to be distributed across multiple machines, enabling parallel processing and scalability. It involves various technologies and techniques that enable efficient data processing and retrieval. Stay tuned for an insightful exploration into the world of Big Data Engineering with Distributed Systems!

Big Data 195

Big Data Big Data Data Engineering Data Engineering 195

Data Science Blog

JUNE 30, 2023

The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using Natural Language Processing (NLP) or more specific from Named-Entity Recognition (NER). Over the time, it will provides you the answer on your questions related to which tool to learn!

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

KDnuggets

NOVEMBER 30, 2022

What is Chebychev's Theorem and How Does it Apply to Data Science? Linux for Data Science Cheatsheet • The Complete Data Engineering Study Roadmap • 10 Amazing Machine Learning Visualizations You Should Know in 2023 • 7 SQL Concepts Needed for Data Science.

Data Science 170

Data Science SQL Machine Learning Machine Learning 170

AWS Machine Learning Blog

MARCH 18, 2025

SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. This can be overwhelming for nontechnical users who lack proficiency in SQL. This application allows users to ask questions in natural language and then generates a SQL query for the users request.

SQL 110

SQL Database AI AI 110

Smart Data Collective

OCTOBER 11, 2021

If you enjoy working with data, or if you’re just interested in a career with a lot of potential upward trajectory, you might consider a career as a data engineer. But what exactly does a data engineer do, and how can you begin your career in this niche? What Is a Data Engineer?

Data Engineering 132

Data Engineering Data Engineering Data Engineer Data Engineering 132

Dataconomy

JUNE 18, 2025

It combines the cost-effectiveness and flexibility of data lakes with the performance and reliability of data warehouses. This hybrid approach facilitates advanced analytics, machine learning, and business intelligence, streamlining data processing and insights generation.

Data Lakes 91

Data Lakes Data Warehouse Business Intelligence Business Intelligence 91

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. For currently-used machine learning frameworks, some of the usual contenders were popular as expected.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116