Center for AI and Data Analytics for Business and Society’s Post

As 2024 comes to a close, I’ve been reflecting on the books that shaped my thoughts this year. From engineering to health and finance, here are the top reads that left a mark on me: [1] 🧠 Thinking, Fast and Slow by Daniel Kahneman – A masterclass in understanding how we think and make decisions. [2] 📈 A Random Walk Down Wall Street by Burton Malkiel – Simple yet powerful wisdom on navigating the stock market. [3] 💪 Outlive by Peter Attia – Eye-opening insights into longevity, exercise and overall health. [4] 💻 Software Engineering at Google – A deep look into the practices that drive one of the world’s biggest tech companies. [5] 📖 The Innovators by Walter Isaacson – A brilliant dive into the minds behind the digital revolution and the history of computing. [6]🔒 Permanent Record by Edward Snowden – A gripping account of truth, privacy, and modern surveillance. Looking for more? These timeless classics have made it to my top shelf this year - [1] Notes from underground by Fyodor Dostoevsky [2] Republic (Plato) [3] The Richest Man in Babylon by George Samuel Clason Happy new year folks! 🎉

Professor Yazhen Wang has concluded the final academic year of a transformative three-year term as chair of the Department of Statistics. Since Professor Wang's current term began, the department has grown rapidly, in terms of students, faculty, and the number of programs offered, including undergraduate and graduate Data Science degrees. Now, as his term winds down, Yazhen Wang has officially been selected as the inaugural recipient of the George Box Distinguished Chair in Statistics, the first endowed chair in the department’s history, named for our department's founder, the legendary Professor George Box. We thank Professor Wang for his leadership as chair and congratulate him on the honor of serving as George Box Distinguished Chair! Read more about Wang's leadership and what's next for his innovative research: https://ow.ly/L5pT50SIrzx #Statistics #DataScience #QuantumComputing

I am thrilled to share that after four terms, I've completed the Data Science Program at the University of Toronto School of Continuing Studies and the University of Waterloo ! 🎓📊 I only scratched the surface but I am ready to leverage my skills in data analysis, machine learning, and statistics to tackle real-world challenges, especially in the energy sector. ⚡☀️🔋 Let's power the future with data-driven solutions!

Lots of places talk about AI, but Andy Hannah is the only person I’ve seen apply AI to Higher Ed in actionable ways! If you are at NASFAA, I highly encourage you to attend this session!

I am excited to share that I have completed the Post Graduate Program in Data Science and Business Analytics from the McCombs School of Business at The University of Texas at Austin. Enrolling in the postgraduate program in Data Science and Business Analytics at the McCombs School of Business has been transformative. The rigorous curriculum, hands-on projects, and real-world applications have enhanced my understanding of advanced analytics, machine learning, and strategic decision-making. The collaborative environment and esteemed faculty have improved my problem-solving skills, equipping me with the tools to drive data-driven insights in any business setting. Ready to apply these skills to unravel complex real-world issues and make data-driven decisions.

Foundations of Data

I had a great time catching the end of the Psychology of Technology Institute conference today at the fabulous Faculty of Computing & Data Sciences at Boston University building, and since my talk was recorded I should be able to post it soon! And while the weather wasn't great I was also able to listen to some talks for my #AcademicRunPlaylist! First was an interesting talk by Max R. on enhancing model interpretability and performance with concept bottleneck models at the University of Cambridge Department of Computer Science and Technology https://lnkd.in/ebAQEJ6C Last was "The Dawning of the Apocalypse" by Gerald Horne. This is a breathless run through of a formative time in world history - the start of systematized slavery, white supremacy, and colonialism. While the 16th century often escapes strong historical consideration since these issues weren't as widespread, Horne catalogs numerous trial runs of these systems, from Jewish persecution in Spain and England to colonial actions on the west coast of Africa and Ireland. The influence of the Ottoman Empire on this enterprise is nicely emphasized here as well. Unfortunately I did find that this book lacks a coherent narrative, going back and forth in time and often simply listing events one after another without any in-depth analysis of their import. If you're unfamiliar with some of these events it'll be hard to fully grasp their meaning, and even then Horne proceeds with such speed that it's hard to fully internalize the threads that are exposed here. That being said, this is still an excellent review of a critical era, and for those looking for pointers to further reading this will make a good reference. https://lnkd.in/euZmn4v5

Want to understand the beneficial business applications of behavioural science? Our BeSci guru Dan Bennett shares his first three of twelve secrets to thinking like a behavioural scientist with Marketing Week. 1. Always analyse the context first 2. Never default to discounting 3. Don’t just do as customers ask Read more here 👉 https://okt.to/45vrOG!

I'm delighted to present my certificate from Timberlake. Special thanks to Dr. Melvyn Weeks for an excellent delivery on the course, "Microeconometrics and Methods for Machine Learning." If you need knowledge on Linear Regression Model, Binary Choice Models, Machine Learning and Decision Trees, then this course is one of the best options for you. #knowledge #econometrics #PhDlife

I'm thrilled to share that I have successfully completed the Regression Models certification from The Johns Hopkins University! 📊✨ This course has deepened my understanding of regression analysis techniques, including linear, logistic, and Poisson models, which are essential tools for data-driven decision-making in various fields. Looking forward to applying these skills in my future projects. 🚀 #JohnsHopkinsUniversity #RegressionModels #DataScience #ContinuousLearning