-
-
Notifications
You must be signed in to change notification settings - Fork 43
/
dsml_references.tex
72 lines (57 loc) · 2.68 KB
/
dsml_references.tex
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
% Mohammad Heriyanto
% mheriyanto.wordpress.com
\documentclass[12pt,oneside,a4paper]{article}
\usepackage[top=0.5in, bottom=1.25in, left=1.25in, right=1.25in]{geometry}
\usepackage{hyperref}
\hypersetup{colorlinks=true,urlcolor=blue}
\begin{document}
\title{Machine Learning, Deep Learning, and Computer Vision References}
\author{Mohammad Heriyanto \\ email: \href{mailto:[email protected]}{[email protected]} \\ GitHub: \href{https://github.com/mheriyanto/Data-Science-and-Machine-Learning-References}{https://github.com/mheriyanto}}
\maketitle
\begin{abstract}
Repository for Data Science and Machine Learning references.
\end{abstract}
\section{Awesome Lists}
Awesome listrs provide .
\subsection{Artificial Intelligence}
\begin{itemize}
\item Awesome Artificial Intelligence - Lightman Wang
\item Awesome Artificial Intelligence (AI) - Owain Lewis
\end{itemize}
\section{Concepts}
\subsection{Machine Learning Concepts}
\begin{itemize}
\item Pengenalan Pembelajaran Mesin dan Deep Learning (J.W.G. Putra, 2019)
\item Machine Learning Probabilistic Prespective (K.P. Murphy, 2012. The MIT Press)
\end{itemize}
\section{All with Python}
\subsection{Basic Python Books}
\begin{itemize}
\item Python 3 Object-oriented Programming (D. Phillips. 2015. O'Reilly Media)
\item Learning Python Design Patterns (G. Zlobin. 2013. Packt)
\end{itemize}
\section{Courses}
\begin{itemize}
\item Neural Networks and Deep Learning - Deeplearning.ai by Andrew Ng in YouTube (2010-2014): YouTube
\item Machine Learning - Stanford by Andrew Ng in Coursera (2010-2014): Coursera
\end{itemize}
\section{Deep Learning Frameworks}
\begin{itemize}
\item Deep Learning with PyTorch 1.0 (S. Yogesh K, 2019. Packt): Book and CodeLearning Python Design Patterns (G. Zlobin. 2013. Packt)
\end{itemize}
\section{Research Groups}
\subsection{Universities}
Standford Univ - Machine Learning Group (Prof. Andrew Ng) | Standford Univ - Vision and Learning Lab (Prof. Fei-Fei Li) | Univ of Montreal - Mila (Prof. Yoshua Bengio) | New York Univ - CILVR Lab (Prof. Yann LeCun) | Univ of Toronto - Machine Learning (Prof. Geoffrey Hinton) | Barkeley Univ - Artificial Intelligence Research (BAIR) Lab (Prof. Trevor Darrell)
\section{Datasets}
\begin{itemize}
\item MNIST Dataset - New York University by Yann LeCun (1998): Raw
\item CIFAR10 Dataset - University of Toronto by Alex Krizhevsky (2009): Raw
\end{itemize}
\section{Journals, Magazines, and People}
\subsection{Journals}
\begin{itemize}
\item AI: Artificial Intelligence (Q1) | Journal of Artificial Intelligence Research (Q1) | Artificial Intelligence Review (Q1)
\item Data Science: EPJ Data Science (Q1) | Data Science Journal (Q3)
\end{itemize}
\end{document}