- Exercises and Problems
- question about probability
- Meaning of the variables y1,y2,..yN etc.?
- what is bias means?
- question target distribution
- ERRATA: p. 9
- A contradiction with Hoeffding?
- Data independence
- Does the Group Invariance Theorem for all linear threshold functions?
- Proof of Hoeffding's inequality is required
- How is linearity of PLA obvious?
- question about chap 1.4.1?
- PLA Optimization criteria
- Is the Hoeffding Inequality really valid for each bin despite non-random sampling?
- Hoeffding inequality for multiple classifiers
- Ch. 1.3.1 vs. Ch. 1.3.2
- Chapter 1 - Exercises 1.8/1.9
- role of P(X) ?
- Clarification needed for Hoeffding Inequality
- Interesting blog post relates Hoeffding Ineq to Frequentist Conf Intervals
- Hoeffding's Inequality vs. binomial distribution
- Perceptron: iterating weights
- Chapter 1 - Exercise 1.9
- Chapter 1 - Problem 1.3
- Stuck on Problem 1.7
- Problem 1.12a
- How to draw the separating line in 2D input
- does PLA works for the cases of Non-linear separable
- How to choose features
- Exercise 1.11
- Exercise 1.10
- Exercise 1.7
- Question on the Selection of Samples from the Bin
- E_in E_out trade-off, Couldn't E_in always be 0?
- Exercise 1.12 - Failing to make Ein(g) small enough
- Problem 1.11
- Exercise 1.13 noisy targets
- Hoeffding inequality for multiple hypothesis
- Exercise 1.1
- Problem 1.10 (b)
- Noisy target - problem in understanding distribution
- Ch 1: Question on f and h functions
- Problem 1.1
- Intuition of the step of PLA
- Exercise 1.10 part c
- Hoeffding Inequality
- Exercise 1.10
- Problem 1.9
- Problem 1.2 b
- Problem 1.3 c
- Perceptron update rule problem
- Noisy Target vs Target Distribution,Deterministic Target vs Deterministic Target Func
- Exercise 1.2
- Exercise 1.3 (b)
- I can't understand the aim of rating movies example
- Equation 1.3
- Noisy Targets as deterministic target function
- Hoeffding Inequality With Probability > 1?
- Exercise 1.10
- Can we guarantee there is a function with low in sample error in H
- Exercise 1.12
- Problem 1.8c
- P(x) vs. P(y |x)
- E(h,f), what is the entirety of h and f?
- Typo
- Problem 1.12 (b) and (c)
- Section 1.3 argument for feasibility of learning is fundamentally flawed
- Not Sure about What Exactly Question is Asking and Desired Answer Format
- problem 1.7