Description for Mathematics for ML: Linear Algebra
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Imperial College London
Duration: 18 hours (approximately)
Schedule: Flexible
Pricing for Mathematics for ML: Linear Algebra
Use Cases for Mathematics for ML: Linear Algebra
FAQs for Mathematics for ML: Linear Algebra
Reviews for Mathematics for ML: Linear Algebra
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Mathematics for ML: Linear Algebra
Machine learning mathematics. Find out about the mathematical prerequisites for applications in machine learning and data science.
Apply linear algebra concepts like linear independence, rank, singularity, eigenvalues, and eigenvectors to analyze data and solve machine learning problems using standard vector and matrix operations.
Apply mathematical concepts to real-world data, derive PCA from a projection perspective, comprehend orthogonal projections, and master Principal Component Analysis.
In brief, this course instructs students on the effective management of data biases, the prevention of overfitting, and the enhancement of model accuracy through the implementation of appropriate testing methods and feature engineering.
Featured Tools
Learn the basics of machine learning systems, model deployment to microcontrollers, and implementation in embedded systems for predictions and decisions.
Learn to use Vertex AI on Google Cloud for no-code AutoML model development, training, and deployment, while integrating ML with cloud tools and adhering to Responsible AI principles.
Acquire practical full stack development skills, knowledge of Cloud Native tools, proficiency in front-end development languages, and build a GitHub portfolio through hands-on tasks and a capstone project.
Begin Your Salesforce Career. Acquire the fundamental Salesforce skills necessary to commence a new vocation.
Become an expert in the field of artificial intelligence. Develop effective strategies for the application of Artificial Intelligence techniques to address business challenges.