05:49
Activation Function - Feedforward neural networks (deep learning)
08:25
ML: Byte-Pair Encoding (Tokenization in NLP)
04:41
Mean & Variance - Intuition behind
06:27
SQL Interview Question - 5 Google- Medium
03:02
Independent & dependent variable, the intuition behind.
07:34
SQL Interview Question - 4 Hard
02:57
P Value & Hypothesis testing, intuition behind for Non-Technical audience
02:03
SQL Interview Question - 3 Salesforce- Easy
04:36
SQL Interview Question - 2 Google- Hard
07:10
SQL Interview Question - 1 DoorDash - Medium
05:14
What is Conditional probability intuition behind!! Probability of A given B!
02:39
Types of Data: Categorical(Nominal, Ordinal), Numerical(Discrete, Continues) Stats: part-1
01:33
What is Machine Learning / Data-science ?? A STORY ! !
03:46
ER - Diagram PART 1 | MADE IT SIMPLE ! ! !
01:40
DBMS | Database - Why ER diagram?? MADE IT SIMPLE! ! !
04:10
DBMS(Database) - Levels of Abstraction | Data Abstraction. MADE IT SIMPLE! ! !
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Machine Learning and Data science, made into digestible pieces to make it simple to understand
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