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Reddit mentions of Introduction to Probability, 2nd Edition
Sentiment score: 4
Reddit mentions: 10
We found 10 Reddit mentions of Introduction to Probability, 2nd Edition. Here are the top ones.
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Height | 9.5 Inches |
Length | 7.5 Inches |
Weight | 2.8 Pounds |
Width | 1.25 Inches |
If you have problems with probability take the MITx probability class on edX. That is as good as it can get as a EECS probability class. It teaches you tons of stuff but assumes nothing but multivariable calculus from you. If you have time, read Introduction to Probability by the class instructors.
Note the class alone is a huge time sink.
This is a fan favorite if you can read proofs, but i can't personally testify to it: https://www.amazon.com/Introduction-Probability-2nd-Dimitri-Bertsekas/dp/188652923X
This seems to be lecture notes corresponding to the book: https://www.google.com/url?sa=t&source=web&rct=j&url=http://vfu.bg/en/e-Learning/Math--Bertsekas_Tsitsiklis_Introduction_to_probability.pdf&ved=0ahUKEwi0tPaYhfXVAhVJro8KHQVuB9sQFghnMAo&usg=AFQjCNHg2bvy0qIa4qilsIT9qVtC3xX8VQ
Also, this StackOverflow answer to your question is highly-rated: https://math.stackexchange.com/q/31838/200344
http://www.amazon.com/Introduction-Probability-Edition-Dimitri-Bertsekas/dp/188652923X/ref=sr_1_1?ie=UTF8&qid=1394424420&sr=8-1&keywords=bertsekas+probability
You can find the video lectures from http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013/ or taking the course on edX https://www.edx.org/course/mitx/mitx-6-041x-introduction-probability-1296
*Solutions to the book exercises can be found on the book's website. Perfect for self-taught learner.
https://www.amazon.com/gp/aw/d/188652923X/ref=mp_s_a_1_7?ie=UTF8&qid=1491754328&sr=8-7&pi=AC_SX236_SY340_FMwebp_QL65&keywords=probability+theory
When you say everyday calculations I'm assuming you're talking about arithmetic, and if that's the case you're probably just better off using you're phone if it's too complex to do in you're head, though you may be interested in this book by Arthur Benjamin.
I'm majoring in math and electrical engineering so the math classes I take do help with my "everyday" calculations, but have never really helped me with anything non-technical. That said, the more math you know the more you can find it just about everywhere. I mean, you don't have to work at NASA to see the technical results of math, speech recognition applications like Siri or Ok Google on you're phone are insanely complex and far from a "solved" problem.
Definitely a ton of math in the medical field. MRIs and CT scanners use a lot of physics in combination with computational algorithms to create images, both of which require some pretty high level math. There's actually an example in one of my probability books that shows how important statistics can be in testing patients. It turns out that even if a test has a really high accuracy, if the condition is extremely rare there is a very high probability that a positive result for the test is a false positive. The book states that ~80% of doctors who were presented this question answered incorrectly.
It's pretty basic stuff, but the first three chapters of this book was a game-changer for me
https://www.amazon.com/Introduction-Probability-2nd-Dimitri-Bertsekas/dp/188652923X
My mind was blown when I finally understood the connection between random variables and the "basic" probability theory with events and sample spaces. For me they had always been two seperate things.
The notation is also really nice.
Having solid fundamentals makes it much easier to study advanced topics, so I would start here.
There's also a great EDX course which is based on the book, but it's a complement and not a substitute. Get the book.
This is the book I used when I was studying statistics and probability. https://www.amazon.com/Introduction-Probability-2nd-Dimitri-Bertsekas/dp/188652923X
"Math isn't a spectator sport", but you shouldn't make yourself hate math by doing hundreds of problems. Study what you find interesting.
https://www.amazon.com/Introduction-Probability-2nd-Dimitri-Bertsekas/dp/188652923X/ref=sr_1_1?ie=UTF8&qid=1523289228&sr=8-1&keywords=bertsekas
No busques mas porque explica todo de 10. Si todos los textos fuesen asi...
I’m finishing up my stats degree this summer. For math, I took 5 courses: single variable calculus , multi variable calculus, and linear algebra.
My stat courses are divided into three blocks.
First block, intro to probability, mathematical stats, and linear models.
Second block, computational stats with R, computation & optimization with R, and Monte Carlo Methods.
Third block, intro to regression analysis, design and analysis of experiments, and regression and data mining.
And two electives of my choice: survey sampling & statistical models in finance.
Here’s a book for intro to probability. There’s also lectures available on YouTube: search MIT intro to probability.
For a first course in calculus search on YouTube: UCLA Math 31A. You should also search for Berkeley’s calculus lectures; the professor is so good. Here’s the calc book I used.
For linear algebra, search MIT linear algebra. Here’s the book.
The probability book I listed covers two courses in probability. You’ll also want to check out this book.
If you want to go deeper into stats, for example, measure theory, you’re going to have to take real analysis & a more advanced course on linear algebra.
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