Tabellab
AI & Machine Learning in Excel 3
The Big, Comprehensive Workbook: 220+ Lessons on Feature Engineering, Fuzzy Matching, AI Agents and Language Models – Hands-On Labs with Full Solutions
- 591pages
- 220lessons
- 11courses
- 220exam questions
$14.99PDF · instant download
- Secure checkout with Stripe (cards, Apple Pay, Google Pay)
- Download link by email — valid 12 months
- Full solutions appendix included
What's inside
AI & Machine Learning in Excel 3: 11 courses, 220 hands-on lessons, with a full solutions appendix.
Learn by doing. Every lesson starts with a clear goal and a short explanation, shows the worksheet cell by cell, and gives you tasks to solve on your own computer in Excel, LibreOffice Calc or Google Sheets. When you are done, check your formulas against the solutions and hints in the appendix and correct your sheet.
- 11 complete courses, 220 lessons, 220 exam questions with answers
- Worksheets with row and column labels – easy to type in
- Tasks with exact solutions and hints in the appendix
- All figures are fictional practice data
Every course is also available as an interactive course on tabellab.com, where each cell is checked instantly.
Courses in this book
- Feature Engineering for Machine Learning: Encoding, Scaling, Binning & Leakage
- Fuzzy Matching & Record Linkage: Normalising Names, Similarity Scores & Duplicates
- AI Model Training & Fine-Tuning Budgets: Tokens, Compute, GPU-Hours, Experiment Grids & Scaling Curves
- AI Agents by the Numbers: Step Success Rates, Retries, Tool-Call Costs, Human Hand-Offs & Cost per Completed Task
- How Language Models Work by Hand: Tokens, Embeddings, Attention Weights, Softmax & Sampling with Temperature
- How Neural Networks Learn: Gradient Descent, Momentum, RMSProp, Adam, Learning-Rate Schedules & Warm-Up by Hand
- How Image Generators Work by Hand: Noise Schedules, Forward Noising, Denoising Steps, Guidance Scale & Latent Sizes
- Document AI in Operations: Field Extraction Accuracy, Confidence Thresholds, Straight-Through Processing, Review Queues & Cost per Document
- Explaining Model Predictions by Hand: Contributions, Shapley Values, Permutation Importance, Partial Dependence & Counterfactuals
- How Text Prediction Worked Before Transformers: n-Gram Counts, Smoothing, Backoff, Perplexity, Autocomplete & Text Generation by Hand
- Cross-Validation & Hyperparameter Tuning by Hand: Train/Validation/Test Splits, k-Fold Scores, Grid Search, Overfitting Curves & Data Leakage
Details
| Format | PDF, US Letter (8.5 × 11 in) |
|---|---|
| Language | English |
| Pages | 591 |
| Series | The Tabellab Workbook, volume 3 |
| Author | Babala Özdemir |
| Delivery | Instant download after payment |
