If you're new to Machine Learning or just want a clear understanding of the most important concepts, this video is a great starting point. It introduces essential terms and techniques used across AI and Data Science — all in under 30 minutes.
What You’ll Learn:
- Core ML techniques like regression, regularization, gradient descent
- AI concepts such as reinforcement learning, sentiment analysis, and transfer learning
- Fundamental terms: variance, overfitting, one-hot encoding, activation functions
- Neural network structures including CNNs, RNNs, LSTMs, and Transformers
- Evaluation metrics: p-value, precision, recall, confusion matrix, AUC
- Vector math and distances (Euclidean, Manhattan, Hamming, Jaccard)
- Common models and tools: decision trees, SVMs, k-means, PCA, Naive Bayes
Whether you're exploring AI or preparing for interviews, this video offers fast, high-level coverage of the most used ideas in ML.
Watch here:
