Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fundamental problems in statistical physics XIV: Lecture on Machine
  Learning   The recent progresses in Machine Learning opened the door to actual
applications of learning algorithms but also, to new research directions both
in the field of Machine Learning directly and at the edges with other
disciplines. The case that interests us is the interface with physics, and more
specifically statistical physics. In this short lecture, I will try to present
first a brief introduction to Machine Learning from the angle of neural
networks. After explaining quickly the based model and the global aspects of
the training procedure, I will discuss into more detail two examples to show
some interesting developments that can be done from the statistical physics
perspective.

27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
1
The categories of this paper are: cs
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom