2. Philosophy behind ML/DS/AI
• Technology enhancements are based on
philosophies
– Sofiya: First robot to receive citizenship of any country
– Anonymous driving vehicle
• Data is the new oil of the 21st Century..…
“Data is the new oil. Like oil, data is valuable, but if unrefined it cannot
really be used. It has to be changed into gas, plastic, chemicals, etc. to create
a valuable entity that drives profitable activity. so, must data be broken
down, analysed for it to have value.”
3. Philosophy behind ML/DS/AI
• Data science is an inter-disciplinary field that uses
scientific methods, processes, algorithms and systems
to extract knowledge and insights from many
structural and unstructured data.
• Data science is related to data mining, machine
learning and big data [wikipedia].
4. Mental Break
• Mathematics is universal language
•
• Who are the most eligible under graduates as a
Data scientist?
•
• You must know ___to be a data scientist.
5. Mental Break
• Who are the most eligible under graduates as a
Data analyst?
Ans: Statisticians
• You must know ___to be a data analyst.
Ans: Mathematics
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6. Perception of Data Science
Mechanical, Automobile,
Electrical, Health-care,
Business
Data
Network
packets
Data
Scientist
Inventory
data
Predictive
maintenance
Vehicle data-
e.g. Speed,
acceleration
Covid
analysis
Image/Video/
Audio
8. Data analysis Vs Machine Learning
Gender Category
Female Sincere
Male Brilliant
Male Brilliant
Female Sincere
Female Sincere
Female Sincere
Male Brilliant
Female Sincere
Female Sincere
Female Sincere
Male Brilliant
Data
9. Data analysis Vs Machine Learning
Gender Category
Female Sincere
Male Brilliant
Male Brilliant
Female Sincere
Female Sincere
Female Sincere
Male Brilliant
Female Sincere
Female Sincere
Female Sincere
Male Brilliant
Data Analysis
1. There are 7 female
students
2. There are 4 Male students
3. Total students are 11
4. Female students are
sincere
5. Male students are brilliant
Data
10. Data analysis Vs Machine Learning
Gender Category
Female Sincere
Male Brilliant
Male Brilliant
Female Sincere
Female Sincere
Female Sincere
Male Brilliant
Female Sincere
Female Sincere
Female Sincere
Male Brilliant
Data Analysis
1. There are 7 female
students
2. There are 4 Male students
3. Total students are 11
4. Female students are
sincere
5. Male students are brilliant
6. Female students are
more than male
Male Female
0
2
4
6
8
Data Visualization
Data
11. Data analysis Vs Machine Learning
Gender Category
Female Sincere
Male Brilliant
Male Brilliant
Female Sincere
Female Sincere
Female Sincere
Male Brilliant
Female Sincere
Female Sincere
Female Sincere
Male Brilliant
Male Female
0
2
4
6
8
Data
Visualization
Data
What is the category of Sara?
Steps:
1. Analyse given data
2. Learn and understand from
given data
3. Decide category with
reference to given data
Ans: Sincere
Learning from given data is a
task of machine learning
algorithms
13. Why different ML Algorithms?
• It is difficult to use a single technique to solve
diversely verified problems
• For example,
• Weather forecasting- Regression
• Speech recognition- Neural Networks
• Fraud detection- Clustering
• Shopping Malls- Association rule mining
• Loan prediction-Decision Tree
