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Pssh
Decision tree and it's example
Understand the data types in data science
Missing values
NLP
Web block data
Dollar sign and functions
No SQL
Structure data pros and cons
Db regretting and classification
Data integration
Deep learning nueron networks
Sub parts of ai and ml and it's examples
U-1
Main Categories of Data ?1
Unstructure and structure difference // pros/cons?1
machine and human generated data? and its source? 1
Data science and big data relationship with Characteristics of Big Data?1
U-2
Six steps of data science processes?2
Data modeling in (data science process)2
scheduling tools?
Distributed file systems?2
Distributed programming framework?2
U-3
Descriptive vs Predictive Analytic ?3
For types of ML and types of algorithm: here <3
There are three steps in training the machine learning algorithm:
- Representation?
- Evaluation?
- Optimization?
U-4
human & aritifical intellengence
Conference That Started AI {history}
short notes on
- Thinking Humanly – The Cognitive Modelling Approach
- Acting Humanly – Turing Test Approach
- Thinking Rationally – Law of Thoughts Approach “Law of Identity”, “Law of Contradiction”, and “Law of extended middle”
- Acting Rationally – Rational Agent Approach
U-5
Formula & Logical functions
{
=sum(a1:a2)
=a1-a2
=a1*a2
=a1/a2
=count(a1:a10)
=average(a2:a10)
=sumif(a1:a10,”>=100”)
=countif(a1:a10,">=100")
}
- MID SEM IMPS
Turing test ?
NL P ,HL
vlookup
Project charter
different types of cleansing
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