Education Innovator | Leveraging AI to Transform Learning | EdTech Specialist | Empowering Future-Ready Students
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It's an honor to have Aliakbar Akbaritabar's commentary about my keynote at IC2S2 2021, where I talked about the power of representation learning to embrace complex data & unlock our "computational imagination". It's part of a cool special issue of EPJ Data Science "The Past, Present, and Future of Computational Social Science". Check them out! https://lnkd.in/geHhWD9e Thanks Ingmar Weber for heads up!
Alexander von Humboldt Professor for AI; Chair for Societal Computing; Editor-in-Chief at EPJ Data Science;Passionate about using non-traditional data sources in support of the Sustainable Development Goals
Now out in EPJ Data Science: "Thinking spatially in computational social science" By Aliakbar Akbaritabar #OpenAccess https://lnkd.in/edimWPsk
Student of computer science || Frontend developer || C Language || C++ || java || DSA || MySQL || HTML || CSS || Javascript || React
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Machine Learning Processes My Notes on the Course: The Machine Learning Process A-Z by: Ken Jee and Jeffrey Li With Special Thanks to 365 Data Science https://lnkd.in/dvBUrde8
I recently had the opportunity to attend a seminar on data science and machine learning applications. 💫The seminar provided an insightful exploration into the latest tools, techniques, and trends in the field, emphasizing practical applications and the future of data science and machine learning. 🚀It was a compelling reminder of the transformative power of data science and machine learning.I’m already looking forward to the next one! #DataScience #MachineLearning #ProfessionalDevelopment #Innovation #TechnologyTrends
Data generalist // Author of Solve Any Data Analysis Problem // Educator // Co-host of the Half Stack Data Science podcast
How the podcast tables have turned! I spoke to Henry Suryawirawan about skill gaps between data education and industry, and of course my favourite topic: how to solve real data problems (the kind we talk about on Half Stack Data Science). Let me know what you think!
David Asboth is the author of “Solve Any Data Analysis Problem” and co-host of the Half Stack Data Science. In this episode, he shares practical tips for solving real-world data analysis challenges. We also discuss data analysis best practices and the current impact of AI on data analysis. Listen now 👇 🎧Website: https://lnkd.in/dQpDreBz 🎧YouTube: http://rb.gy/6bug3m 🎧Spotify: http://rb.gy/gh8fh4 🎧Apple: http://rb.gy/6mybko
The Essential Guide to Using Docker in Machine Learning and Data Science https://lnkd.in/etpx8pmE
Hello, Everyone! I'm thrilled to share my very first article on Medium: "The Ever-Growing World of Data Science: Why It’s Here to Stay." 🚀 Dive into the ever-evolving world of data science! 🌍 In the article, I explore why data science is not just a career but a journey of endless possibilities. From the massive data we generate daily to the game-changing advancements in AI and machine learning, discover why data science is here to stay and why now is the perfect time to get involved. 📊✨