Ronald T. Kneusel has been working with machine learning in industry since 2003 and has a PhD in machine learning from the University of Colorado, Boulder. Kneusel is the author of Practical Deep Learning, Math for Deep Learning, The Art of Randomness, How AI Works, and Strange Code (all from No Starch Press), as well as Numbers and Computers and Random Numbers and Computers (Springer).

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• ForewordAcknowledgmentsIntroductionChapter 1. Computers and NumbersChapter 2. Sets and Abstract AlgebraChapter 3. Boolean AlgebraChapter 4. Functions and RelationsChapter 5. InductionChapter 6. Recurrence and RecursionChapter 7. Number TheoryChapter 8. Counting and CombinatoricsChapter 9. GraphsChapter 10. TreesChapter 11. ProbabilityChapter 12. StatisticsChapter 13. Linear AlgebraChapter 14. Differential CalculusChapter 15. Integral CalculusChapter 16. Differential EquationsIndex

Ronald T. Kneusel has been working with machine learning in industry since 2003 and has a PhD in machine learning from the University of Colorado, Boulder. Kneusel is the author of Practical Deep Learning, Math for Deep Learning, The Art of Randomness, How AI Works, and Strange Code (all from No Starch Press), as well as Numbers and Computers and Random Numbers and Computers (Springer).

Select Guide Rating

• ForewordAcknowledgmentsIntroductionChapter 1. Computers and NumbersChapter 2. Sets and Abstract AlgebraChapter 3. Boolean AlgebraChapter 4. Functions and RelationsChapter 5. InductionChapter 6. Recurrence and RecursionChapter 7. Number TheoryChapter 8. Counting and CombinatoricsChapter 9. GraphsChapter 10. TreesChapter 11. ProbabilityChapter 12. StatisticsChapter 13. Linear AlgebraChapter 14. Differential CalculusChapter 15. Integral CalculusChapter 16. Differential EquationsIndex

Ronald T. Kneusel has been working with machine learning in industry since 2003 and has a PhD in machine learning from the University of Colorado, Boulder. Kneusel is the author of Practical Deep Learning, Math for Deep Learning, The Art of Randomness, How AI Works, and Strange Code (all from No Starch Press), as well as Numbers and Computers and Random Numbers and Computers (Springer).

Select Guide Rating

• ForewordAcknowledgmentsIntroductionChapter 1. Computers and NumbersChapter 2. Sets and Abstract AlgebraChapter 3. Boolean AlgebraChapter 4. Functions and RelationsChapter 5. InductionChapter 6. Recurrence and RecursionChapter 7. Number TheoryChapter 8. Counting and CombinatoricsChapter 9. GraphsChapter 10. TreesChapter 11. ProbabilityChapter 12. StatisticsChapter 13. Linear AlgebraChapter 14. Differential CalculusChapter 15. Integral CalculusChapter 16. Differential EquationsIndex