2. Agenda
Day Topic
Think big and give
presentations
In-Class Exercises
Weekly
Assignments
Week1
7/5(二) ,
7/8(五)
綜科108-2或
R502
Lecture
•Intelligence,
perception and
thinking •What is
Consciousness?
•Think out of the
box
•What if. Limit
thinking
•Enhance
Productivity
•Search solutions
•Gadgets
Lab
•Microbes
culture
3. Training goal
• Exercise:
• Science and engineering
• Life Science
• Chat and think robot
• Cell modulation
• Train a your brain of thinking strategies.
• Understand our brain.
• Learn thinking strategies.
33. Where is the control center?
https://www.youtube.com/watch?v=lyu7v7nWzfo
Anil Seth
34. What Is Reality
• Brain View
• The Brain with David Eagleman_ What Is Reality - BBC
Documentary 2016 - YouTube
• https://www.youtube.com/watch?v=C8k-lrJrldw
• 2:00 ~ 2:35
• Physic view
• 超乎想像的宇宙 1:無限空間 The Fabric of the Cosmos 1:
What is Space
• https://www.youtube.com/watch?v=t8-FqWlC42A&t=2s
54. 刺激思考工具
• 系統化思考
• 獨立思考體
• PCA
• 比較式思考
• 提高訊雜比 [夏農]
• Regression, denoise
• 國英數的認知基石
• Classification
• 因果思考
• Inference, Regression
• Critical thinking
• Self ask Self ask
• 邏輯思考
• Decision Trees, 感覺經常失誤
• 賽局理論
• Naive Bayes
• Fast and slow thinking
• Supervised and unsupervised learning
• Long and short term learning
• LSTM
55. 系統化思考
• 圖像思考
• visualization
• 差異思考
• classification
• 二元/二維思考
• Linear algebra
Introduction
A Crash Course in Python
Visualizing Data
Linear Algebra
Statistics
Probability
Hypothesis and Inference
Gradient Descent
Getting Data
Working With Data
Machine Learning
k-Nearest Neighbors
Naive Bayes
Simple Linear Regression
Multiple Regression
Logistic Regression
Decision Trees
Neural Networks
[Deep Learning]
Clustering
Natural Language Processing
Network Analysis
Recommender Systems