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AI/ML, Population, Sample - Coggle Diagram
AI/ML
Pre-requisites
Mathematics
Linear Regression
Linear Algebra
Integral
Polynomial
Statistics
Probability Distribution
Normal Distribution
Python
NumPy
matplotlib
seaborn
scikit learn
K
Pandas
R
SQL
TensorFlow
scipy
Applications of ML
Finance like loans approval or creditworthy
Ecommerce recommendations
Youtube videos
OTT platform
Healthcare - for decease prediction
Self Driving car
Image Processing
Data Mining
Text Analyts
Robotics
Video Games
Concepts
ML
Supervised Learning
Regression
(Supervised)
Linear
Gradient descent
(Finding optimum slope
value and intercept)
Multiple Linear
Polynomial
Ridge
Lasso
ElasticNet
Classification
Support Vector Machine
K-nearest neighbour
Decision Trees
Random Forest
Unsupervised Learning
K-means
Time Series Modeling
Ensemble Learning
Recommender Systems
Clustering
Support vector machine
reinforcement learning
Semi supervised
Deep Learning
Neural Network
Exploratory Data Analysis (EDA)
Data Science
Deep Learning
Artificial Intelligence
Computer Vision
Natural Language processing
Statistics
Inter quartile range (IQR)
Mean, Mode, Median
Artihmetic Mean
Harmonic Mean
Standard Deviation
Correlation
Linear and Non Linear
Feature Scaling
Normalization
Dependent and Independent Variable
Error/Loss/Residual
(Performance Metrics)
Mean Squared Error
Mean Absolute Error
Root Mean squared Error
R-Squared (R2) - How well your model is fit to the data
Baye's theorem
Prior Probability
Posterior Probability
Conditional Probability
Performance Metrics
Confusion Metrics
Recall
Precision
Accuracy
Specificity
F1 Score
Learning Path
Python for Data science
Machine Learning
Deep Learning
Advance Deep Learning
1.Python
Programming and Tools
TensorFlow
Visualization
Tableau
PowerBI
Python
pypi - 3rd party libraries
Webscraping
Population, Sample