Видео ютуба по тегу Decode Aiml

9.11 Gradient Descent Optimization in Machine Learning | Calculus & Optimization
9.11 Gradient Descent Optimization in Machine Learning | Calculus & Optimization
9.9 Introduction to Antiderivatives, Definite & Indefinite Integrals | Calculus & Optimization
9.9 Introduction to Antiderivatives, Definite & Indefinite Integrals | Calculus & Optimization
9.7 Maxima & Minima | Increasing & Decreasing Functions | Calculus & Optimization
9.7 Maxima & Minima | Increasing & Decreasing Functions | Calculus & Optimization
9.6 Properties of Derivatives | Activation Functions in ML | Calculus & Optimization
9.6 Properties of Derivatives | Activation Functions in ML | Calculus & Optimization
9.5 Introduction to Derivatives & Differentiation | Calculus & Optimization
9.5 Introduction to Derivatives & Differentiation | Calculus & Optimization
9.4 Limit, Continuity & Differentiability | Calculus & Optimization
9.4 Limit, Continuity & Differentiability | Calculus & Optimization
9.3 Functions in Machine Learning | Calculus & Optimization
9.3 Functions in Machine Learning | Calculus & Optimization
NVIDIA Software Engineer Interview Process | My Experience & Tips
NVIDIA Software Engineer Interview Process | My Experience & Tips
Amazon Applied Scientist Interview Process | My Experience & Tips
Amazon Applied Scientist Interview Process | My Experience & Tips
10.55 Two-Sample T-Test in Hypothesis Testing | Statistics & Probability
10.55 Two-Sample T-Test in Hypothesis Testing | Statistics & Probability
10.50 Hypothesis Testing | Null & Alternate Hypothesis | Statistics & Probability
10.50 Hypothesis Testing | Null & Alternate Hypothesis | Statistics & Probability
10.46 Point Estimation & Maximum Likelihood Estimation (MLE) | Statistics & Probability
10.46 Point Estimation & Maximum Likelihood Estimation (MLE) | Statistics & Probability
10.42 Covariance & Correlation Coefficient | Statistics & Probability
10.42 Covariance & Correlation Coefficient | Statistics & Probability
10.35 Continuous Uniform Distribution & Random Variable | Statistics & Probability
10.35 Continuous Uniform Distribution & Random Variable | Statistics & Probability
10.31 Problems on Expectation for Random Variables | Statistics & Probability
10.31 Problems on Expectation for Random Variables | Statistics & Probability
10.21 Bessel’s Correction | Why n-1 in sample variance? | Statistics & Probability
10.21 Bessel’s Correction | Why n-1 in sample variance? | Statistics & Probability
10.14 Prior & Posterior in Bayes Theorem | Statistics & Probability
10.14 Prior & Posterior in Bayes Theorem | Statistics & Probability
Getting Started | Mathematics for Machine Learning
Getting Started | Mathematics for Machine Learning
6.4 Handling Missing Values | EDA in Python | Hindi
6.4 Handling Missing Values | EDA in Python | Hindi
6.3 Handling Outliers in Feature Engineering | Hindi
6.3 Handling Outliers in Feature Engineering | Hindi
2.19.2 BFS Traversal in a Graph | DSA in Python | Hindi
2.19.2 BFS Traversal in a Graph | DSA in Python | Hindi
5.8.3 SQL on Pandas DataFrame using pandasql & duckdb | Pandas in Hindi
5.8.3 SQL on Pandas DataFrame using pandasql & duckdb | Pandas in Hindi
5.7.2 Data Visualization Plots in Pandas | Pandas in Hindi
5.7.2 Data Visualization Plots in Pandas | Pandas in Hindi
3.6 4Sum - Unique Quadruplets with Target Sum | DSA in Python | Hindi
3.6 4Sum - Unique Quadruplets with Target Sum | DSA in Python | Hindi
AI-Powered Recommendation Systems Explained | What Netflix & Amazon know | Decode with Nitin
AI-Powered Recommendation Systems Explained | What Netflix & Amazon know | Decode with Nitin