Calculus: Single Variable Part 1 - Functions

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Calculus: Single Variable Part 1 - Functions

Coursera · Beginner ·📐 ML Fundamentals ·4mo ago

Key Takeaways

Covers single-variable calculus for engineering and science students

Original Description

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach. In this first part--part one of five--you will extend your understanding of Taylor series, review limits, learn the *why* behind l'Hopital's rule, and, most importantly, learn a new language for describing growth and decay of functions: the BIG O.
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →

Related Reads

📰
What Skills Are Required for an AI Job?
Learn the key skills required to succeed in an AI job and why they matter for a career in this field
Medium · Machine Learning
📰
AI ile Geleceğin Yıldızlarını Keşfetmek: Futbolcu Değer Artışı Tahmini Projesi
Use machine learning to predict football player value increase over time
Medium · Machine Learning
📰
Architecting Low-Latency Real-Time AI Pipelines: Edge Streaming, Vector Indexing, and Concurrency…
Learn to architect low-latency real-time AI pipelines using edge streaming, vector indexing, and concurrency to improve application performance
Medium · Machine Learning
📰
I Started With Nothing. Now I Make $198k as an ML Engineer.
Learn how to increase your salary to $198k as an ML Engineer by applying key lessons from a 6-year industry veteran
Medium · AI
Up next
Generative vs Discriminative Models - Explained
DataMListic
Watch →