Mathematics for Machine Learning

0 reviews

Chapters

Language

English

Genre

Textbook

Published

July 4, 2025

Synopsis

Mathematics for Machine Learning by Vikram Singh Sankhala is specifically designed to bridge the often-intimidating gap between high school mathematics and the rigorous mathematical foundations required to truly understand standard machine learning textbooks and concepts. Targeting undergraduate students and self-learners with limited advanced math backgrounds, this book provides a clear, accessible, yet academically precise introduction to the core areas of mathematics essential for modern AI and ML, including linear algebra, calculus, statistics, and optimization. It aims to equip readers with the necessary mathematical intuition and technical skills to move beyond simply using ML algorithms as black boxes. What sets this book apart is its integrated approach, pairing each fundamental mathematical topic with modern computational tools—both open-source libraries like NumPy, SciPy, and SymPy, and state-of-the-art AI-enhanced platforms such as Wolfram Alpha, Symbolab, and GeoGebra. These tools are presented not just as computational aids but as interactive learning resources that facilitate understanding and application. By combining foundational mathematical theory with practical implementation using contemporary tools, the book empowers readers to tackle real-world machine learning problems with confidence, transforming their mathematical understanding into a practical asset for their AIML journey.

About the Author

VSS

Vikram Singh Sankhala

Vikram Singh Sankhala is an expert in multi-modal AI and agentic systems, applying his analytical skills to bridge ancient wisdom traditions, like Vedic astrology, with modern scientific frameworks. His unique approach decodes complex principles using data-driven solutions and contemporary visualization techniques. Sankhala is passionate about making profound knowledge accessible through the integration of cutting-edge technology, viewing Vedic astrology as humanity's oldest data science and aiming to unlock its insights with today's analytical tools.

Mathematics for Machine Learning

Synopsis

About the Author

Vikram Singh Sankhala

More Books by the Author

State-of-the-Art Robotics and Robotic Systems: With Deep Reinforcement Learning and Generative AI Applications

Convergence: Generative AI, Robotics, Decentralization, and the Metaverse

Technical Blueprint for the Production of: Hypersonic Weapons Systems

Solinexta Defence Technologies: A Comprehensive Technical Blueprint for Next-Generation Defense Systems

Engineering the Impossible: Next-Generation Defense Technologies

Transformative Military Technologies – Strategic Briefing

Solinexta NextGen Systems Design: Future Defense Architectures

U.S. Battlefield Technologies Under Development: A Compressed Technical Guide

State-of-the-Art Military Surveillance Systems Using Multi-Agent Hybrid Architecture and MARL

Hands-On Design and Implementation of a Real-Life Multi-Agent Urban Traffic Management System

Direct Tax Code – A Practical Guide

Frontiers in Multi-Agent Systems

Conceptual Foundations of Artificial Consciousness in Multi-Agent Systems

Consciousness-Enabled Multi-Agent Laboratory

Project-Based, Hands-On Workflow Automation (Software, Edge, IoT, Agents, and Tools)

Step-by-Step SAP Project: Automated Outlook Message Processing with Azure, Kyma, and SAP HANA

Step-by-Step Guide: Building State-of-the-Art AI Agents

Compendium of Analytics

# Project Book: Learn DevOps Tools & Implementation Hands-On with Azure

End-to-End Python Projects with Streamlit, Flask, and Django

Hands-On Design, Development, Hosting, and Open Source Deployment of State-of-the-Art Large Language Models (LLMs)

Global Platform for Smart Agriculture: Cloud AI, Edge AI, IoT, and Integrated AgriTech Solutions for Precision Farming, Enhanced Features, and Multi-Sector Expansion

Prompt Templates in LangChain: A Practical Guide

Nobel Prizes in Physics 2000-2024 Made Simple

State-of-the-Art Book Topics: Developer Tools and Toolkit

Solinexta Developer APIs

Syncing and Integrating Vibe Coding Tools

SAP ECS AIOps Technical Blueprint

SAP AIOps Strategy Blueprint

Technical Design for an Automated Spoken English Assessment System

Solinexta Python: From Basics to AI Projects with TensorFlow and PyTorch

Python for SAP Data Analysis and AI/ML

AI-Powered Edge ERP: Intelligent Enterprise Architecture

ERP Architecture Blueprint Guide

AI-Driven ERP Transformation: A Practical Guide to Integrating AI with ERPNext

The ERPNext AI Integration Blueprint

Solinexta NextGen Finance Hub

Technical Blueprint: Solinexta Sentinel Platform System Architecture

Solinexta Sentinel: AI-Powered Vehicle Intelligence Platform Technical Design, Prototype

Building Hybrid MCP-A2A Systems: A Practical Guide

Building an AI-Powered Agricultural Platform: A Technical Implementation Blueprint

Building AI-Powered Agricultural Platforms: From Data to Sustainable Impact

From Field to Cloud: Your Guide to Smart Farming

AI-Powered Agricultural Analytics Platform: DevOps Implementation Plan

Cutting Edge Generative AI

FPA Platform - Technical Architecture: Cloud-Native Precision

Cutting-Edge Python: Frameworks, Libraries, and Applications in 2025

State-of-the-Art Full Stack Development (2025)

AI MSG Processor - Technical Learning Guide

Mastering State-of-the-Art API Design and Development (2025)

State of the Art Web Development: Architecture, State, Routing, and Secure File Transfer Automation

Mastering Modern Frontend Frameworks: Architecture, State Management, and Routing for Scalable Applications

Modern Database Mastery: SQL, PostgreSQL, and DBeaver for 2025

Comprehensive Course: Mastering DBeaver with SAP HANA Database

Innovating Agriculture: Core Topics in Engineering, Business, and Sustainability

Machine Learning in Production: 10 End-to-End Projects with MLOps and DevOps

AI and Machine Learning for the Next Generation: A 10+1 Session Practical Guide

Building Conversational AI Avatars: An End-to-End Guide

Build, Deploy, Monitor: The Complete SAP BTP Journey

Master the SAP Business Technology Platform

Simple Linear Regression using Jamovi and JASP

State-of-the-Art Regression: Theory, Practice, and Modern Applications

AI for precision farming, yield prediction, resource optimisation and supply chain management

Generative AI in Smart Agriculture: A Practical Guide for Agri-Business Transformation

Algorithmic Numerology

Code to Cloud: Integrated Data Science with Python, SQL, DevOps, and Cloud

Modern AI, RAG, and Multi-Agent Systems for Beginners

AI and Machine Learning for Beginners: A Practical Guide

From Vibe Coding to AI Software Engineering - The next frontier

State-of-the-Art Control and Navigation Systems

Automotive Design and Simulation

Electronics for the AI Age

State-of-the-Art Computer & Telecommunication Networks

21st Century Mathematical Minds

NextGen Electrical Engineering: From Theory to Smart Solutions