Agreed! There should be a better way to give tribute. Maybe a way to encourage more people to design and conduct experiments diligently, encourage curiosity among young children. So many other ways to honor the scientific mind without exhuming the body.
This is a really insightful book. I read it as part of a book club. The algorithm that generated the most delightful discussion and examples was the optimal stopping algorithm.
Great approach when trying to go into the weeds of a technical problem. I try to first build a conceptual diagram if it is about a process and then fill in the gaps. If it's a more logic based, coding (can be pseudo code too) has helped with understanding
I have used it to take classes at the local university as a non-degree seeking student. What I like about taking formal classes is the deadline and schedules which keep me honest and I end up finishing unlike with MOOCs
What’s been helpful for me was to consciously catch myself spiraling into thoughts of my past experience. Making it a habit to replace it with what I’m looking forward to and why I’m better off not being in that toxic situation. It’s very draining for a few days but then slowly you notice the difference. And you start feeling more energy and most of all less negative. It’s like exercise.
Daily mass. It does not feel spiritual every single day but most days the mind is focused, and I feel calm and a sense that I’m part of something greater than the immediate world of work, family and daily concerns.
Personally, I feel that reading a couple articles written by a SME on the tropic informs one of where they stand in terms of understanding and what to read next.
IMHO the Data Science team at any organization should work closely with a strategy team who uses data to ask hard questions with tools like scenario planning. It’s hard work, and when things are going well it feels like that team is wasting time but when things are hard, they have already thought through of ways to pivot and how to move forward.
There’s a class on Coursera by Dr Barbara Oakley https://www.coursera.org/learn/learning-how-to-learn?
It gives you a basic model for skill retention. You should modify the style to what works for you. I’ve successfully retained what I’ve revised and practiced
Proof by contradiction was a thought that went thru my mind as well when reading this article. Not sure if high school teaches that stream of thought, can't recall using such methodology in school.
Deep work by Cal Newport is a great book to help you get started. He also does occasional coaching classes to help develop this focus. Another online class that contacts in my circle speak of as having been successful for them is habitstrong.com . Check out https://www.habitstrong.com/learning
I started learning R on my own in 2010 after a 12 year long stint away from the workforce. I wanted to get my statistics skills brushed up before applying to grad school for Economics. I was hooked from the first time I typed in a command and then did formal education with community college classes and later an MS in SW Engr.
I’ve a book where I keep notes on the books I read. Most of the time, I re-read the notes from the the last reading when I pick up the book again which is a great memory refresher. It’s works as great notes for the whole book when I need. I also make relationship maps to remember anything that has a lot of relationships.
I had a 12 year gap. Went back to school, did entry level internships and then got a grad level internship which later became a full time position. You need a story and also talk to what you did to get back. There will always be folks who see the gap before they see anything else, but there will be others who find your passion real. Also network a ton, find mentors. After every interview do a retrospective with self and ask yourself what went well and what didn’t. This helped me a lot to perfect my story to an elevator pitch under 2 minutes.