Randomized Algorithms Probability

I'm taking a grad level randomized algorithms course in the fall. The professor is known for being very detail oriented and mathematically rigorous, so I will be required to have an in-depth understanding of probability. What would be a good probability book to learn from that would be intuitive, but also have some mathematical rigor to it?

What textbooks does the course recommend? I like "Probability and Computing" by Mitzenmacher and Upfal and "Randomized Algorithms" by Motwani and Raghavan. They introduce the necessary theory from an algorithms viewpoint. I also recommend a book on inequalities, as bounding things is quite essential to the analysis of randomized algorithms. At the very least this cheat sheet.

StackExchange Computer Science Q#12113, answer score: 4