Books for statistical computing course?

I’m taking an introductory graduate course in statistical programming. I usually like to read textbooks along with my coursework, but the professor doesn’t have any suggestions for books matching the syllabus. Is there any book that could help me read up on this material?

The basic outline of the class is this: For each topic, the professor demonstrates the underlying math on the blackboard, then writes code to perform the algorithm. He moves very quickly, so I’m hoping there might be a book (or several) I could supplement my notes with. I’m interested in both the math and the algorithms.

Here is the syllabus topics list:

The purpose of this course is to teach the art of statistical
programming in R, Python, and C/C++, by writing computer code to
implement the following core algorithms in statistical computing.

. Least squares regression, sweep operator, QR decomposition

· Eigen computation, Principal Component Analysis

· Logistic regression, Newton-Raphson

· Lasso, coordinate descent, boosting, solution path

· Feed-forward neural network, back-propagation

· EM algorithm, Gaussian mixture, factor analysis

· Random number generators, Monte Carlo integration

· Metropolis algorithm, Gibbs sampling, Bayesian posterior

When going through the above topics, the focus will be on algorithms
and especially programming, instead of theories of learning, inference
and computing.

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If the sender is not in any of my address books, move the email to the Junk folder

My Outlook 2010 account has a number of address books, but unfortunately, no single address book has all my contacts.

So, I’m trying to create a rule (or combination of rules) that simply says, “if the sender is not in any of my address books, move the email to the Junk folder”.

I can definitely get this to work for one address book using “except if…”, but I can’t figure out how to do an “except if” that includes all of my address books.

If this is possible, how is it done?

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ReactJS component to classify a list of books

In my project, I am getting an array of objects from api, and I want to divide the array into 3 three arrays based on the value of the shelf property of each
array element which is an object. Now for doing that I am using formatBooks function inside the same component.

Later on I am passing this formatBooks function as prop to other component which calls this function.

I was hoping if there is any better by making another component and place the formatBooks inside that. I wanted to know a better and elegant way of doing things like this.

class BooksApp extends React.Component {
  state = {
    books: [],
    searchResults: [],
    newBooksFromSearch: [],
  //format the books array
  formatBooks = () => {
    const currentlyReading = []
    const read = []
    const wantToRead = []
    this.state.books.forEach( item => {
      if(item.shelf === "currentlyReading" || item.shelf === "Currently Reading"){
          item.setShelf = "Currently Reading"
      if(item.shelf === "read" || item.shelf === "Read" ){
          item.setShelf = "Read"
      if(item.shelf === "wantToRead" || item.shelf === "Want to Read"){
          item.setShelf = "Want to Read"
        currentlyReading: currentlyReading,
        read: read,
        wantToRead: wantToRead

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Are there any discrepancies between HP1-HP7 and supplementary books?

Are there any known clear discrepancies between the main 7 Harry Potter books and the supplementary books? (“Quidditch Through the Ages”, “Fantastic Beasts and Where to Find Them” and “The Tales of Beedle the Bard”)

I am excluding differences between contents of the tales and the main books, that can (and usually are, in Dumbledore’s own words) explained due to them being – well, tales.

Inspired by reading this question

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What books or articles discuss general rules of Tanach? [on hold]

In particular, I am looking for books that deal with philosophical and linguistic questions on Tanach and its commentators.

It seems that Masters of the Word: Traditional Jewish Bible Commentary from the First Through Tenth Centuries by Rabbi Yonatan Kolatch would be a good example.

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Books and resources for an entrepreneur inventor? [on hold]

What books would you recommend for an inventor entrepreneur?

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Books and resources for an entrepreneur inventor?

What books would you recommend for an inventor entrepreneur?

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A nice platform for selling PDF books like Google Play. Any suggestions?

I’m an author who are currently selling books on Google Play. The service works really good and has a wide support for mobile devices etc. The huge downside is its limitations when it comes to territory. It’s only available in like 30 countries.

I have people in Israel, Nepal and other countries where Google Play don’t reside and probably won’t be for a while. So I’m looking for an alternative platform that does not have this limitation. However, I still have some requirements:

  • Prohibit download of the PDF – This is to protect it from being spread outside of the platform. It has happen before when I even had DRM support turned off on Amazon. Writing 700 pages trying to make a living out of it kinda sucks when someone simply spreads it for free.

  • HTML5 or Mobile App support – Since most of the readers will be using iPads and what not.

  • The book needs to be sold on that platform or a third party

  • Need to use PDF.

Is there any good platform for this except Google Books? I have searched like hell but all I have found is sites that provides the user with a download link.

Thanks in advance!

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Are there any good general typesetting books / references?

I would like to learn more about typesetting, the accepted best practices, rules and tricks used in books, letters, resumes etc. For example, what are the usual left and right margins? Line spacing? When to use what type of justification?

Any good books or links?

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A shelf has $6$ Math books and $4$ Physics books. What is the probability that $3$ math books are always together?

All outcomes are equally likely.

My first thought: $P$=$6choose 3 $$3!8!$/$10!$. But I am obviously over counting as $Probablity$ $P> 1$.

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