Видео с ютуба Decode Aiml

9.6 Properties of Derivatives | Activation Functions in ML | Calculus & Optimization

9.5 Introduction to Derivatives & Differentiation | Calculus & Optimization

9.4 Limit, Continuity & Differentiability | Calculus & Optimization

9.3 Functions in Machine Learning | Calculus & Optimization

NVIDIA Software Engineer Interview Process | My Experience & Tips

Amazon Applied Scientist Interview Process | My Experience & Tips

10.55 Two-Sample T-Test in Hypothesis Testing | Statistics & Probability

10.50 Hypothesis Testing | Null & Alternate Hypothesis | Statistics & Probability

10.46 Point Estimation & Maximum Likelihood Estimation (MLE) | Statistics & Probability

10.42 Covariance & Correlation Coefficient | Statistics & Probability

10.35 Continuous Uniform Distribution & Random Variable | 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

10.14 Prior & Posterior in Bayes Theorem | Statistics & Probability

Getting Started | Mathematics for Machine Learning

6.4 Handling Missing Values | EDA in Python | 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

3.6 4Sum - Unique Quadruplets with Target Sum | DSA in Python | Hindi

AI-Powered Recommendation Systems Explained | What Netflix & Amazon know | Decode with Nitin