1ST SEM AIDA BY GOD

 IMPORTANT  :

ڷںڰڬڜڧ

answer bhi hai sabke __

click>> HERE {cutie} 

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:

1. Representation?
2. Evaluation?
3. 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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