Math Coding Challenges: AI Foundational
Description
Build the mathematical foundation essential for crushing AI and machine learning interviews with this comprehensive guide featuring hands-on JavaScript coding challenges. Math Coding Challenges: AI Foundational bridges pure mathematics and practical coding, covering everything from number theory to advanced calculus—all the concepts that technical interviewers test most.
What You'll Master:
- Essential Math Topics – Number theory, algebra, combinatorics, probability, statistics, linear algebra, and calculus
- AI/ML Fundamentals – Gradient descent, loss function minimization, matrix operations, eigenvalues, and optimization techniques
- Practical Implementation – JavaScript coding challenges with complete solutions for every mathematical concept
- Interview-Ready Skills – Algorithm analysis, complexity classes, and problem-solving strategies for data science roles
This 405+ page book progresses from foundational concepts to advanced applications, with clear explanations and real-world coding examples. Learn to recognize patterns, implement efficient solutions, and communicate mathematical reasoning with confidence. Whether you're targeting positions at FAANG companies, AI startups, or data science teams, this book gives you the mathematical intuition and coding proficiency to dominate technical interviews and launch your AI development career.