If you are in business you should also be aware of non-market strategy and geopolitics.
If you want to learn about corporate finance and valuation, the best resource is Aswath Damodaran’s website.
and he has written books on valuation and corporate finance that are very good
Nowadays, if you want to learn you have all the tools and resources available online and free.
Apollo’s Arrow: The Profound and Enduring Impact of Coronavirus on the Way We Live
by Nicholas A. Christakis
Infectious: Pathogens and How We Fight Them by John Tregoning
The Fate of Rome: Climate, Disease, and the End of an Empire by Kyle Harper
Vaxxers: The Inside Story of the Oxford AstraZeneca Vaccine and the Race Against the Virus
by Sarah Gilbert, Dr. Catherine Green
The Vaccine: Inside the Race to Conquer the COVID-19 Pandemic
by Joe Miller, Özlem Türeci
Viruses, Pandemics, and Immunity by Arup K. Chakraborty, Andrey Shaw
Immune: A Journey into the Mysterious System That Keeps You Alive by Philipp Dettmer
On Twitter, follow
The Lancet @TheLancet
Center for Disease Control & Prevention. @CDCgov
Eric Feigl-Ding @DrEricDing Epidemiologist & health economist
Michael Mina @michaelmina_lab Epidemiologist, Immunologist, Physician. Discuss vaccines, immunity, infectious diseases, tests, public health. CSO eMed
Bob Wachter @Bob_Wachter Chair, UCSF Dept of Medicine. Career: What happens when a poli sci major becomes an academic physician. Author: “The Digital Doctor”. Hubby/Dad/Golfer.
How to get started?
There are many online courses and some are free. And with a few good books one person can get started in this field. It is rapidly evolving field and new things are available all the time.
And below you can find the books I highly recommend to get started
Artificial Intelligence: A Modern Approach, Global Edition 4th Edition by by Peter Norvig, Stuart Russell
Deep Learning with Python, Second Edition 2nd Edition by François Chollet (Author)
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD 1st Edition by Jeremy Howard, Sylvain Gugger
Mario Ramberg Capecchi is an Italian-born molecular geneticist and a co-winner of the 2007 Nobel Prize in Physiology or Medicine for discovering a method to create mice in which a specific gene is turned off, known as knockout mice, Wikipedia.
What it is interesting and incredible is his biography. Mario Capecchi wrote his bio in the Nobel price webpage.
I was born in Verona, Italy on October 6, 1937. Fascism, Nazism, and Communism were raging through the country. My mother, Lucy Ramberg, was a poet; my father, Luciano Capecchi, an officer in the Italian Air Force. This was a time of extremes, turmoil and juxtapositions of opposites. They had a passionate love affair, and my mother wisely chose not to marry him. This took a great deal of courage on her part. It embittered my father.
For reasons that have never been clear to me, my mother’s money ran out after one year and, at age 4½, I set off on my own. I headed south, sometimes living in the streets, sometimes joining gangs of other homeless children, sometimes living in orphanages, and most of the time being hungry. My recollections of those four years are vivid but not continuous, rather like a series of snapshots. Some of them are brutal beyond description, others more palatable.
Highly recommended reading.
Writing an application is just the start of a long process. A software system requires a continuous development effort to keep it running and working. Software evolution and maintenance is what keeps busy any organization that creates systems that need to be working for many years.
Software needs to continuously be updated, bugs need to fixed and an organization needs to be able to release new features in a timely manner.
Software Engineering is all about software design, creation and evolution. A lot of different tasks that make a system able to be alive and stand the test of the time.
A nice new book explains how Google manages its vast repository of its source code and its software evaluation as scale. A highly recommended read.
The old MacBook Pros have a defective AMD Radeon GPU. Mine was from 2011. The solution for Apple was to replace the entire motherboard and I had it replaced 2 times for free. The replaced motherboards had the same defective components, and it was always a matter a time before a new failure happened.
Now my MacBook Pro 2011 is not supported anymore by Apple, so no more hardware fixes and software updates. Fortunately, I have found a solution. You need to bypass the GPU and disable it, by removing a resistor in the motherboard.
I have followed the article at the link below to solve the problem.
Some more detailed information on how to disable the GPU is here. I had to change one command line.
Instead of this line
`printf "x07x00x00x00x01x00x00x00" > /sys/firmware/efi/efivars/gpu-power-prefs-fa4ce28d-b62f-4c99-9cc3-6815686e30f9`
I used this line
printf "\x07\x00\x00\x00\x01\x00\x00\x00" > /sys/firmware/efi/efivars/gpu-power-prefs-fa4ce28d-b62f-4c99-9cc3-6815686e30f9
And I have happily installed Ubuntu
Watching ads based on our interests can be more interesting than having to be exposed to ads that are not relevant to us. At the same time, in order to show targeted advertising companies are creating a profile of all of us, and not everybody like to be profiled.
Below you can find some links that can help you opt-out to interest based advertising.
I recommend the following web page for more info about it.
a very good book on genetics, from the very beginning to the latest discoveries. A very accessible book on what genetics is and what can do for us, with all its implications.
By Carl Zimmer, She Has Her Mother’s Laugh: The Powers, Perversions, and Potential of Heredity
An interesting talk by Andrej Karpathy, currently Tesla’s director of AI and computer vision on how software is increasing being developed.
More and more parts of the software stack is built using data, deep neural networks. The software 2.0 stack will not replace the traditional way of building software but it will increasingly cover a larger area and domains.
Check the video on Vimeo. TRAIN AI 2018 – Building the Software 2.0 Stack