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Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

Home Page: https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/

Python 3.06% Jupyter Notebook 96.94%

mathematics-for-machine-learning-and-data-science-specialization's Introduction

Olusegun Omotunde

📊 Advanced Data Professional | Enabling Big Data Insights, Cloud-Powered Analytics, and Visualization 📈

🎓 B.S & M.S in Finance and Applied Statistics with a Business Analytics Specialization 📊

🌍 Originally from Nigeria, currently on a data-driven journey 🚀

🧮 Passionate about analyzing data, a massive fan of animes, movies, music, and good food 🍿🎵🍔

Welcome to my GitHub profile! 👋 Here, you'll find my contributions to the world of data, analytics, and more. Feel free to explore my repositories and reach out if you'd like to collaborate or discuss data-driven insights. Let's turn data into meaningful stories!

💼 Professional Highlights

Data expert with a focus on unlocking valuable insights from complex datasets.

Expertise in cloud-powered analytics and data visualization.

Combining a solid academic foundation in Finance and Applied Statistics with real-world data analytics experience.

Committed to continuous learning and innovation in the data space.

🌟 Interests

Exploring the vast world of data, one dataset at a time.

Sharing knowledge and insights through data-driven storytelling.

Enjoying the wonders of anime, movies, music, and the delights of good food.

Feel free to connect with me on LinkedIn to discuss all things data, analytics, or simply to chat about our shared interests! 📈🍿🎵🍔

Thanks for visiting, and let's embark on a data-driven journey together! 🚀📊🌍

mathematics-for-machine-learning-and-data-science-specialization's People

Contributors

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