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Visual Maths for ML: Statistics
An illustrated guide to data, uncertainty and model evaluation
This book is 100% completeLast updated on 2026-10-18
Understand statistics for machine learning through pictures: from mean, median and standard deviation to MAE, uncertainty and fair model comparisons. Includes PDF and illustrated EPUB.
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About the Book
Learn statistics through annotated diagrams, worked examples and a practical delivery-time prediction case.
This 40-page illustrated guide connects mean, median, variance and standard deviation to the decisions you make in machine learning. Follow the journey from collecting representative data to measuring prediction errors and comparing models. Explore sampling, likelihood, Bayesian learning, confidence intervals and statistical evidence.
Includes the illustrated PDF and a fixed-layout EPUB that preserves the diagrams. On small screens, zooming may be needed. Download the free “What you will learn” sample to preview the learning maps.
By Pramod Tyagi. © 2026 Bitmonkey IT Services Pvt Ltd. All rights reserved.
www.bitmonkey.ai
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About the Author
Pramod Tyagi
Pramod Kumar Tyagi is an AI and digital architect with more than 20 years of experience designing and scaling enterprise technology platforms. He is the founder of Bitmonkey IT Services Pvt Ltd, where his work spans AI products, digital transformation and interactive AI/ML education.
Previously, Pramod served as Principal Architect and Head of Enterprise Integration & AI Centre of Excellence at NTT DATA Services. His experience includes AI and machine learning, cloud architecture, data platforms and intelligent automation across banking, payments, healthcare, retail and supply chain.
He holds an MS in Aerospace Engineering from the Indian Institute of Science (IISc), Bangalore, and is a TOGAF-certified solution architect.
His Visual Maths for ML series uses annotated diagrams, worked examples and practical scenarios to help readers build intuition for the mathematics behind machine learning.
Explore his work at www.bitmonkey.ai.
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