People who face day-to-day life with the help of numbers are less prone to be the victims of scams and tend to weigh different options with data, without being influenced by the opinions or emotions of other people
Dr. Peter O’Neil has been a professor of mathematics at the University of Alabama at Birmingham since 1978. At the University of Alabama at Birmingham, he has served as chairman of mathematics, dean of natural sciences and mathematics, and university provost. Dr. Peter O’Neil has also served on the faculty at the University of Minnesota and the College of William and Mary in Virginia, where he was chairman of mathematics. He has been awarded the Lester R. Ford Award from the Mathematical Association of America. He received both his M.S and Ph.D. in mathematics from Rensselaer Polytechnic Institute. His primary research interests are in graph theory and combinatorial analysis.
The online lesson about Algorithm that I found on Khan Academy is introduced by video with transcript. Easy to understand for all of you to do self-studying. Hope it is useful for you. Thanks Khan Academy for dedicate good lessons.
It doesn’t matter what catches your fancy, machine learning, artificial intelligence, or deep learning; you need to know the basics of math and stats—linear algebra, calculus, optimization, probability—to get ahead.
" To understand the Universe, you must understand the language in which it's written, the language of mathematics." Galileo Galilei
I think it is much simpler than that. Mathematics is a language developed by the human brain. Albeit the most precise language we know of today, still basically a language. Mathematics is a kind of map over how our brain works, with logic as its compass. In the future it may well be that we find (invent) an even more precise language than mathematics, which will then be used to describe all sorts of phenomena.
The life sciences deal with a vast array of problems at different spatial, temporal, and organizational scales. The mathematics necessary to describe, model, and analyze these problems is similarly diverse, incorporating quantitative techniques that are rarely taught in standard undergraduate courses. This textbook provides an accessible introduction to these critical mathematical concepts, linking them to …