Remove Computer Science Remove Data Scientist Remove Natural Language Processing
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MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management

KDnuggets

It supports data scientists and engineers working together. This ensures smooth production processes. She holds a Masters degree in Computer Science from the University of Liverpool. It manages the entire machine learning lifecycle. It provides tools to simplify workflows. MLflow is great for team collaboration.

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Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes

KDnuggets

Shamima holds a BSc in Computer Science and Engineering and has a great interest in research and development. The best part is that your stakeholders can interact with and modify the dashboard themselves, making it a truly collaborative business intelligence tool.

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10 GitHub Repositories to Master Web Development in 2025

KDnuggets

CS Video Courses This repository is a curated list of computer science courses with video lectures. It covers topics like algorithms, data structures, software engineering, web development, and much more. Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models.

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How to Learn Math for Data Science: A Roadmap for Beginners

Flipboard

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 12, 2025 in Data Science Image by Author | Ideogram You dont need a rigorous math or computer science degree to get into data science. Wrapping Up Learning math can definitely help you grow as a data scientist.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Summary: In 2025, data scientists in India will be vital for data-driven decision-making across industries. It highlights the growing opportunities and challenges in India’s dynamic data science landscape. Big data and cloud technologies are increasingly important in Indian data science roles.

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Computational linguistics

Dataconomy

As we explore the landscape of computational linguistics, well uncover its applications, methodologies, and significant implications for various industries. What is computational linguistics? Natural language processing (NLP) NLP serves as a foundational application within CL.

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Natural Language Processing with R

Heartbeat

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.