Note : Last updated date is 2020/09

Enrolled Course

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Completed Course

Title	Content
Created by	Udacity (Partners are Mercedes-Benz, NVIDIA, OTTO, DiDi, Mclaren, NEXTEV)
Language	English
E-Learning site	Udacity
Fee	217,674 JPY with 6 month access as of 2020/09
Summary	This course covers some points of Censer, Machine Learning/AI(DeepLearning, A*, etc.), Image Processing, Control Theory(PID, Kalman Filter, etc.), ROS, Software Architecture for Self-Driving Car. Projects provide Self-Driving Car simulator and we can try to make a car drive in a simulator with coding. Capstone project provides real Udacity’s Self-Driving Car simulation(as of 2020/09/10, it’s stopped because of COVID-19).
Assignment environment	python, jupyter notebook, c++, ROS, etc. (Udacity provides an environment and we can use it through web browser)
Completed date	2020/09/10
How long it takes for	Around 3 years because of work. Around 10 months if I’m not busy.
My rating	★★★★★
Reason	This course is very interesting in a tech point of view because Self-Driving Car requires many fields of tech. This is Udacity Nanodegree program, so Udacity member reviews our codes for project. I think even if finishing this course more study is required to work with Self-Driving Car, but this course provides first step.

Deep Learning Foundations

Title	Content
Created by	Udacity
Language	English
E-Learning site	Udacity
Fee	Around $400(I forgot and looks not easy to find the price.)
Summary	This course covers from fundamental of deep learning and some new models like GAN.
Assignment environment	python, scikit-learn, jupyter notebook(self development environment）
Completed date	2017/06/12
How long it takes for	Around 5 months
My rating	★★★★★
Reason	This lecture covers wide area of machine learning including deep concept part. And I can get feedback from real machine learning engineer. And then, I can get Nanodegree when I complete. Please care you cannot get certificate if you cannot finish the course within 6 month.

Neural Networks for Machine Learning

Title	Content
Created by	Geoffrey Hinton(University of Toronto)
Language	English
E-Learning site	Coursera
Fee	$49
Summary	From perceptron to deep Learning including not only introduction but also some methods and models like Pre-training and Deep auto encoder. This course covers many models in detail. So, some of contents are difficult to understand compared with other courses.
Assignment environment	Octave
Completed date	2017/04/23
How long it takes for	Around 5 months
My rating	★★★☆☆
Reason	Contents were very interested. But, I couldn’t understand whole because some parts are difficult to understand for me. I guess I’m not familiar with this course’s lecture style.

Big Data(2015)

Title	Content
Created by	Amarnath Gupta, Mai Nguyen, Ilkay Altintas(UC San Diego)
Language	English
E-Learning site	Coursera
Fee	Around $600(I forgot and looks not easy to find the price.)
Summary	Fundamental of Hadoop, Hive, Pig, HBase, Hue, Spark(MlLib), Neo4j, Splunk, KNIME and its application for data analysis for virtual game application.There are 7 courses(6 lecture courses and 1 capistone project course).
Assignment environment	Cloudera VM(Hadoop,Hive,Pig,HBase,Hue,Spark(python,scala)), Splunk Client(Splunk), local develop environment(Neo4j, KNIME). For me, I prepared following environment. Cloudera and neo4j docker image(Hadoop,Hive,Pig,HBase,Hue,Spark,Neo4j), Splunk Cloud(Splunk), my windows environment(KNIME).
Completed date	2016/12/25
How long it takes for	Around 6 months
My rating	★★★★☆
Reason	These courses includes Big data softwares, graph database and machine learning shallow and wide including hadoop, hive, pig and spark core concept(like map reduce, RDD and DAG). I tried to use spark and Neo4j, so these courses are interested for me. The capistone project is making document for data analysis result and recommendation for increasing revenue of virtual game application. Setting my hypothesis and checking it with data analysis were kind of same real situation. And these courses use peer-evaluation system for assignment. So, I could learn something from other participants result.

Data Science Assignments for Business Persons

Original title is “社会人のためのデータサイエンス演習”(Japanese).

Title	Content
Created by	BrainPad and others(I forgot and couldn’t find this information anymore)
Language	Japanese
Fee	Free
E-Learning site	gacco
Summary	Fundamental of Statistic using Excel
Assignment environment	Excel
Completed date	2016/06/24
How long it takes for	Around 1 month
My rating	★★☆☆☆
Reason	Lecture is easy to understand and there are some good assignments. But I wanted to learn more deep parts.

Deep Learning

Title	Content
Created by	Google
Language	English
E-Learning site	Udacity
Fee	Free
Summary	Fundamental of deep learning using Tensorflow(from solving MNIST with 3-layered neural net to LSTM)
Assignment environment	Official Tensorflow Docker container
Completed date	2016/06/09
How long it takes for	Around 1 month
My rating	★★★☆☆
Reason	Contents are very interesting and there are programming assignment. But, I wanted more volume and no official answers about assingments.

Machine Learning

Title	Content
Created by	Andrew Ng(Stanford University)
Language	English(Japanese subtitles)
E-Learning site	Coursera
Fee	Free
Summary	Fundamental of machine learning(like what is machine learning, supervised learning, unsupervised learning, how to evaluate models)
Assignment environment	Octave
Completed date	2016/04/16
How long it takes for	Around 3 months
My rating	★★★★☆
Reason	Easy to understand and interesting. And there were sophisticated programming assignments(I could evaluate my answers). Very high quality free machine learning course.

Image Processing and 3D Geometry : Introduction to Computer Vision 2

Original title is “画像処理と3次元幾何：コンピュータビジョン基礎2″(Japanese).

Title	Content
Created by	Toru Tamaki
Language	Japanese
E-Learning site	Udemy
Fee	Free
Summary	Image processing and 3D computer vision
Assignment environment	Only manual calculation
Completed date	2016/03/21
How long it takes for	Around 3 months
My rating	★★★☆☆
Reason	Easy to understand and interesting. But I wanted to do some programming assignments.

Bayes Estimation and Graphicsl Modeling : Introduction to Computer Vision Introduction 1

Original title is “ベイズ推定とグラフィカルモデル：コンピュータビジョン基礎1″(Japanese).

Title	Content
Created by	Toru Tamaki
Language	Japanese
E-Learning site	Udemy
Fee	Free
Summary	Machine learning methods using probability(from base concept to some applications)
Assignment environment	No assignment(except quiz)
Completed date	2014/12/19
How long	Around 3 months
My rating	★★★☆☆
Reason	Easy to understand and interesting. But I wanted to do some programming assignments.