Deep LearningLatest
Adam vs SGD with momentum on a controlled quadratic
Compare optimizer updates from the same initial point, record objective traces and distinguish update budgets from wall-clock or general model benchmarks.
comparison4 min read
Articles
Practical guides to learning AI and machine learning, written by Gaurav Jain. Worked examples, projects with complete code and learning plans you can follow.
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- Deep Learning
Autoencoders and reconstruction error: compare a linear bottleneck with PCA
Train a two-to-one-to-two linear autoencoder, compare held-out reconstruction with PCA and expose an unusual point that reconstruction error misses.
tutorial4 min read
- Statistics
Bernoulli vs binomial: one outcome or a count of trials
Calculate and simulate a binomial count, relate it to Bernoulli trials and test what fails when outcomes share a common cause.
tutorial4 min read
- Statistics
Bootstrap confidence intervals: work through every resample
Enumerate a small bootstrap distribution, calculate a percentile interval and explain what its uncertainty does and does not represent.
tutorial4 min read
- Generative AI
Build an LLM evaluation dataset that separates retrieval from answers
Define answerable and unsupported questions, expected evidence, a scoring rubric and deterministic failure fixtures for a closed factual task.
tutorial4 min read
- Data Tools
Choose a chart for a dataset by naming the comparison
Create category, time-series and paired-observation charts from explicit data, and check how aggregation can hide the story.
tutorial4 min read
- Statistics
Conditional probability with a table: change the denominator
Calculate P(flagged | faulty) and P(faulty | flagged) from a small inspection table, then connect them through Bayes’ rule.
tutorial4 min read
- Machine Learning
Build a content-based recommendation system and test its top results
Rank a small catalogue with TF-IDF and cosine similarity, exclude the seed item and score top-k precision and recall against authored relevance labels.
tutorial4 min read
- Deep Learning
Convolution output shape: work through padding, stride and channels
Calculate a CNN's spatial dimensions by hand, verify them in PyTorch and repair a mismatched linear layer after flattening.
tutorial4 min read
- Maths
Cosine similarity vs Euclidean distance: choose what closeness means
Calculate both measures on the same vectors, explain their different rankings, and connect normalized distance to cosine similarity.
comparison4 min read
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