Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning: Algorithms, Models, and Applications   Recent times are witnessing rapid development in machine learning algorithm
systems, especially in reinforcement learning, natural language processing,
computer and robot vision, image processing, speech, and emotional processing
and understanding. In tune with the increasing importance and relevance of
machine learning models, algorithms, and their applications, and with the
emergence of more innovative uses cases of deep learning and artificial
intelligence, the current volume presents a few innovative research works and
their applications in real world, such as stock trading, medical and healthcare
systems, and software automation. The chapters in the book illustrate how
machine learning and deep learning algorithms and models are designed,
optimized, and deployed. The volume will be useful for advanced graduate and
doctoral students, researchers, faculty members of universities, practicing
data scientists and data engineers, professionals, and consultants working on
the broad areas of machine learning, deep learning, and artificial
intelligence.

33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg