Why should we care about data structures in data science? In this short article, I discussed the building blocks of data in Python and summarized the most important things about Python's native data structures, NumPy, and Pandas.
This learning journal aims to summarize the essence of the Stanford Machine Learning coursework in a way that (hopefully) most people new to AI would understand & appreciate. Additionally, I inserted lots of fun comments & graphs to clarify concepts and/or make them more relatable.
"A journey of a thousand miles begins with a single step." There is a lot to learn on this data science journey, but AI frontrunner, Stanford professor, Andrew Ng's T-shaped learning framework can serve as a guiding light for all who are new to AI.
In 2018 summer, I decided to disrupt my career by leaving my actuarial science comfort zone and take a new role in data science. In the next two years, I will document my data science journey and write learning journals to gather pearls of wisdom in #dataScience, #machineLearning, #AI, and other cool things I learned along the way. I hope my journals will serve as an effective learning & motivation tool for myself and others who are also interested in this career path.
A complex man with simple taste, the "Oracle of Omaha," Warren Buffett is the only person to have built a Fortune 500 top 10 company from scratch. The Snowball did an amazing job chronicling Buffett’s journey – the business of life. To Buffett, “The purpose of life is to be loved by as many people as possible among those you want to have love you.”
Daniel Coyle, New York Times bestselling author, began his journey of unveiling the secrets of talent development by visiting talent hotbeds around the world. His discovery answered some essential questions that lots of us learners have: How are talents developed? How do we learn best? How to accelerate our skill development?
By studying smarter, you can reclaim your schedule and live a balanced lifestyle. For any actuarial student feeling overwhelmed by the demands of studying, learning how to study is a meta skill that will lead to a more successful career. - Mike Jennings, ASA, CERA, Co-author of Actuarial Exam Tactics: Learn More, Study Less.
I had the pleasure of attending a Dale Carnegie Training course this week - "Selling Your Value and Building Your Personal Brand." I'd like to share with you three things that will help you in all networking events: become a better conversationalist through conversation stack and sell your value through a personal branding statement.
Questions that Sell is a highly practical field books on effective questioning. This great book was written for salespeople, but it's relevant to non-sales professionals; all of us are selling every single day.
I became very interested in the "glass ceiling" topic ever since I heard about this term as a freshman in college. This invisible career barrier is prevalent in Corporate America, politics, Silicon Valley, and beyond - it hinders minority professionals from reaching the top of whatever mountains they're climbing.
I was a bit upset by it because I'm a firm believer of the American Dream, and this social issue seemed to contradict this splendid dream that many people have. At a 2015 conference at Harvard Business School, I asked the keynote speaker, Angela Chao, Deputy Chairman of Foremost Group, a question about glass ceiling. What Angela said that day still inspires me two years later. She recognized this social issue, but at the same time, she challenged me to think beyond the victim mentality. She asked me, "What can you do to be part of the solution?"