Home AI Courses ML in Mathematics: Multivariate Calculus

ML in Mathematics: Multivariate Calculus

(0 reviews)

This course offers a concise summary of essential multivariate calculus for machine learning, including practical tools, vector calculations, function approximation, and neural network applications, to build confidence for advanced studies.

Key AI Functions:Linear Regression,Vector Calculus,Multivariable,Calculus Gradient,Descent

Description

Reviews

Alternative Tools

Description for ML in Mathematics: Multivariate Calculus

This course provides a succinct summary of the multivariate calculus necessary for the development of common machine learning techniques, ranging from fundamental slope concepts to formal gradient definitions.

Create a collection of calculus instruments, acquire the ability to calculate vectors on multidimensional surfaces, and apply this knowledge through interactive activities.

Investigate the application of calculus to approximate functions and evaluate the precision of these approximations, as well as its role in neural network training.

Acquire a thorough comprehension of calculus and the requisite language to conduct independent research, thereby fostering confidence for more advanced machine learning courses.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by Imperial College London

Duration: 17 hours (approximately)

Schedule: Flexible

Reviews for ML in Mathematics: Multivariate Calculus

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

AI for Beginners: Understand the basics

LLM Server

AI | GenAI | AWS | Amazon Q Developer | Your CoPilot

Microsoft Azure Developer Associate (AZ-204) Exam Prep

Machine Learning Models

Alternative Tools for ML in Mathematics: Multivariate Calculus

Foundations of Machine Learning

Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.

#Logistic Regression #Unsupervised Learning

AI and ML Essentials with Python Specialization

Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.

#Artificial Intelligence #Python (Programming Language)

ML Specialization

Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.

#Logistic Regression #Artificial Neural Network

Mathematics for ML & Data Science Specialization

Master the AI and machine learning toolkit. Mathematics for Machine Learning and Data Science is a Specialization that is accessible to beginners. In this program, you will acquire the basic mathematics tools of machine learning, including calculus, linear algebra, statistics, and probability.

#Bayesian Statistics #Mathematics

Mathematics in ML Specialization

Machine learning mathematics. Find out about the mathematical prerequisites for applications in machine learning and data science.

#Eigenvalues And Eigenvectors #Principal Component Analysis (PCA)

Supervised ML: Regression and Classification

Learn to build and train supervised machine learning models for binary classification and prediction tasks using Python with NumPy and scikit-learn libraries.

#Linear Regression #Regularization to Avoid Overfitting

Machine Learning Basics

Learn fundamental machine learning principles, including K nearest neighbor, linear regression, and model analysis, with prerequisites of Python programming and basic mathematics.

#Machine Learning #Python

ML & Data Science in Calculus

Optimize and interpret machine learning functions using gradients, derivatives, and gradient descent in neural networks.

#Calculus #Machine Learning

Linear Regression with Python

Gain practical experience in implementing Linear Regression with Numpy and Python, understand its significance in Deep Learning, require prior theoretical knowledge of gradient descent and linear regression, and catered primarily to students in the North American region with future plans for global accessibility.

#Data Science #Python Programming

CertNexus Certified AI Practitioner Professional Certificate

Become an expert in the field of artificial intelligence. Develop effective strategies for the application of Artificial Intelligence techniques to address business challenges.

#Linear Regression #Machine Learning (ML) Algorithms