Видео ютуба по тегу Themaxxacademy

L-10: Logistic Regression | Machine Learning
L-10: Logistic Regression | Machine Learning
L-7.1: Practice Problem on DFA (Deterministic Finite Automata) | Theory of Automata
L-7.1: Practice Problem on DFA (Deterministic Finite Automata) | Theory of Automata
How good is your model? | Machine Learning #computerscience #shorts #machinelearning
How good is your model? | Machine Learning #computerscience #shorts #machinelearning
L-11: Exponential Family, Likelihood Estimation, Maximum Likelihood Estimation | Machine Learning
L-11: Exponential Family, Likelihood Estimation, Maximum Likelihood Estimation | Machine Learning
L-4.1: Problem Solving on Performance Metric | Confusion Matrix Example-1 | Machine Learning
L-4.1: Problem Solving on Performance Metric | Confusion Matrix Example-1 | Machine Learning
Issues in Machine Learning | Machine Learning #computerscience #shorts #machinelearning
Issues in Machine Learning | Machine Learning #computerscience #shorts #machinelearning
L-7: Classification | Training & Testing Split | Overfitting vs Underfitting | Machine Learning
L-7: Classification | Training & Testing Split | Overfitting vs Underfitting | Machine Learning
Symbols | Theory of Computation #shorts #toc #tafl
Symbols | Theory of Computation #shorts #toc #tafl
L-5: Machine Learning Approaches Overview | Machine Learning
L-5: Machine Learning Approaches Overview | Machine Learning
Example-2: Finite Automata | Theory of Computation #tafl #toc #Shorts
Example-2: Finite Automata | Theory of Computation #tafl #toc #Shorts
L-7: Introduction to DFA (Deterministic Finite Automata) | Theory of Computation
L-7: Introduction to DFA (Deterministic Finite Automata) | Theory of Computation
L-10: Comparison Between NFA, DFA and ε-NFA (Epsilon-NFA) | Theory of Computation
L-10: Comparison Between NFA, DFA and ε-NFA (Epsilon-NFA) | Theory of Computation
L-0: Introduction to Machine | Machine Learning
L-0: Introduction to Machine | Machine Learning
Partitional and Hierarchical Clustering | Machine Learning #machinelearning #shorts #cs
Partitional and Hierarchical Clustering | Machine Learning #machinelearning #shorts #cs
L-9.1: ε-Closure Of State & Conversion of ε-NFA (Epsilon-NFA) To NFA | Theory of Automata
L-9.1: ε-Closure Of State & Conversion of ε-NFA (Epsilon-NFA) To NFA | Theory of Automata