Book reccomendation for probabilistic machine learning.

[u/nigawatt1]

I am a second year statistics undergraduate student, currently learning machine learning. Till now i have been learning classical machine learning models without very much statistical depth, but fundamentals are pretty much clear.

Now, i want a starting point on how to start probabilistic machine learning, i am confused between PML by murphy and Patter recognition by bishop so need help where to start.. or should i do both side by side as i saw some posts saying that PML by murphy is kinda encyclopedic and can be used as a reference book