I will explain machine learning without difficult formulas that I studied this year . It is contents for ultra beginners.

1. Describe Machine Learning
without math.
For super beginners.

2. But what is machine learning
in the first place?

4. Don‘t fear super intelligent AI ?
Wow ! It sounds like a sci-fi movie.

5. 1997：The
computer
chess machine
defeated the
world
champion.
2006： Deep
learningappeared.
2011: On jeopardy,
Quiz show, IBM
Watson beat human.
2012： Improved
image recognition,
the computer
recognizes what the
cat is.
2016： The Alpha-
Go won a
professional Go
player
Deep learning appear: 2006–present
• Around 2006 : The concept of Deep learning appear.
• Since 2045： Super inteligent AI exist?

6. What's AI ?
What's the differences with the Machine learning ?

7. AI vs Machine learning
AI
• A computer program that seems to
have intelligence
• Cleaning robot
• Video game AI
• Siri
• Automatic driving technology
• etc
• Some AIs use machine learning for
the algorithm.
Machine learning
• How to make computers learn data
and predict unknown data
• Linear regression
• Perceptron
• Decision tree
• Neural net (deep learning)
• etc

8. How to learn ?

9. How much gain at average temperature 31
degree celsius ?
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0
ビール販売数Average temperature and sales

10. Answer : 12,554. 6
Y = 249.41・X + 5072.3
• Predictable as a linear regression problem
y = 249.41x + 5072.3
0
2000
4000
6000
8000
10000
12000
14000
0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0
ビール販売数Average temperature and sales

11. ｙ＝249.41・ｘ ＋ 5072.3
Determining the coefficient (weight)
Is Doing with machine learning

12. How the machine learning work.
Input X of the
training data.
Predict a
result with a
weight and
X.
Compare
the result
with Y.
Calculate
error.
Update a
weight.
Training data
（X)
31 C
31 × w1 + w0 =
10,000
12,000
E = 12,000 - 10,000
= 2,000
Adjust w0 and w1
with 2,000
Training data
（ｙ)Repeatedly, the
error gets closer to
zero

13. Another example.
75％
A cat

14. Correct. But 25 percent is wrong .
75%
A cat
Correct
Adjust 25%

15. Wrong. But 25 percent is correct .
75%
A cat
Wrong
Adjust75%

16. Machine learning performs error correction
and optimization.
• Conventionally, a person makes judgment
conditions from statistical data and the like.
>When conditions become complicated, it
is hard to create conditions
• In machine learning, computers learn data
and generate judgment conditions (weights)
>It became a practical level thanks to CPU
performance improvement

17. Should we fear super intelligent
AI ?
Think about it again.

18. I beliave it is ...
• Machine learning is just mechanisms for generating judgment
conditions from data.
• I think it "a technology to welcom".
• At the moment ...
• But it might change our job in future.
• It might be better we learn how to use technology effectively.
• And it is unbeliavebly fun, isn't it ?