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The && operator represents logical and. It is a binary operator, and its result is true only if both the values given to it are true.
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Values, Types, and Operators :: Eloquent JavaScript
ors There are also some operations that can be applied to Boolean values themselves. JavaScript supports three logical operators: and, or, and not. These can be used to “reason” about Booleans. <span>The && operator represents logical and. It is a binary operator, and its result is true only if both the values given to it are true. console.log(true && false) // → false console.log(true && true) // → true The || operator denotes logical or. It produces true if either of the values given to it is tru



Annotation 4403124374796

Which books are those? When it comes to thick books, I always skim past parts I already know or are irrelevant, and hone in on the parts that are relevant.

Reply Give Award share report Save level 2 DependentSky6 Original Poster 29 points · 5 months ago

Thanks for the tip! Here are the references:

Computer science:

● Introduction to Algorithms, Cormen, Leiserson, Rivest, Stein, The MIT Press (2009) and Essential Algorithms, Stephens, Wiley (2013).

● Numerical Recipes, Press, Teukolsky, Vetterling, Flannery, Cambridge University Press (2007).

● xUnit Test Patterns, Meszaros, Pearson Education (2007); or Refactoring: Improving the Design of Existing Code, Fowler, Addison-Wesley Professional (2018).

● Distributed Systems: Concepts and Design, Coulouris, Dollimore, Kindberg, Blair, Pearson Higher Ed (2011); or Designing Data-Intensive Applications, Kleppmann, O'Reilly Media (2017).

Machine Learning:

● Introduction to Machine Learning, Ethem Alapaydin, The MIT Press (2014).

● Reinforcement Learning - An Introduction book by Richard S. Sutton and Andrew.
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[D] Any tips and tricks to crack the DeepMind quiz interview? : MachineLearning
report Save level 2 not_personal_choice 1 point · 5 months ago I can answer half of those, will they accept me? Reply Give Award share report Save level 1 AdditionalWay 12 points · 5 months ago <span>Which books are those? When it comes to thick books, I always skim past parts I already know or are irrelevant, and hone in on the parts that are relevant. Reply Give Award share report Save level 2 DependentSky6 Original Poster29 points · 5 months ago Thanks for the tip! Here are the references: Computer science: ● Introduction to Algorithms, Cormen, Leiserson, Rivest, Stein, The MIT Press (2009) and Essential Algorithms, Stephens, Wiley (2013). ● Numerical Recipes, Press, Teukolsky, Vetterling, Flannery, Cambridge University Press (2007). ● xUnit Test Patterns, Meszaros, Pearson Education (2007); or Refactoring: Improving the Design of Existing Code, Fowler, Addison-Wesley Professional (2018). ● Distributed Systems: Concepts and Design, Coulouris, Dollimore, Kindberg, Blair, Pearson Higher Ed (2011); or Designing Data-Intensive Applications, Kleppmann, O'Reilly Media (2017). Machine Learning: ● Introduction to Machine Learning, Ethem Alapaydin, The MIT Press (2014). ● Reinforcement Learning - An Introduction book by Richard S. Sutton and Andrew. Reply Give Award share report Save level 3 Richard_wth 6 points · 5 months ago Thanks for the list of books... I think I’d start reading :o Reply Give Award share report Save level 3 is