View Plans
WCD Logo-Transparent
View Brochure
Sign Up Now

Math for Machine Learning

Standard Course
Fundamental
Fully Ready

About the Course

Build a solid foundation in the math behind machine learning. This course covers key topics including probability, linear algebra, and calculus-based optimization, with a focus on how they power model mechanics and popular ML libraries.

Learning Outcomes

By the end of this course, participants will be able to:

  • Demonstrate proficiency in key statistical distributions and utilize them effectively in real-world applications
  • Apply appropriate sampling techniques and interpret the results
  • Conduct hypothesis testing using both basic and advanced methods
  • Perform vector and matrix operations relevant to machine learning
  • Optimize machine learning models using calculus-based technique

Curriculum

  • Module 1: Statistics - Distributions

    Overview:

    This module explains the essential statistical distributions used in Data Science.

    Topics to Cover:

    • Different types of distribution
    • Formulae in calculating probability
    • Application of the distributions in data science
  • Module 2: Statistics - Sampling

    Overview:

    This module introduces the definitions of key terms and various sampling techniques.

    Topics to Cover:

    • Population vs Sample
    • Central Limit Theorem
    • Sampling Techniques & Applications

  • Module 3: Statistics - Hypothesis Testing

    Overview:

    This module explores the various methods to test hypotheses.

    Topics to Cover:

    • Basic Z-test and T-test
    • One sample vs two sample tests
    • Advanced hypothesis testing
  • Module 4: Vector and Matrix Operations

    Overview:

    This module explains the basics of vector and matrix operations.

    Topics to Cover:

    • Vector addition, subtraction, and multiplication
    • Matrix addition, subtraction, and multiplication
    • Applications of Vector and Matrix Operations
  • Module 5: Solving System of Linear Equations

    Overview:

    This module demonstrates working with linear equations to find possible solutions.

    Topics to Cover:

    • Singular Systems
    • Underdetermined or overdetermined systems
    • Sparse Matrices
  • Module 6: Linear Regression and Collinearity

    Overview:

    This module applies mathematical concepts in linear regression to real-life scenarios.

    Topics to Cover:

    • Simple and Multiple Linear Regressions
    • Collinearity effects
    • Application in Housing data
    • Variance Inflation Factor
  • Module 7: Eigen Values and Eigen Vectors

    Overview:

    This module examines the effects of Eigen values and Eigen vectors on ML models.

    Topics to Cover:

    • What are Eigen values and Eigen vectors?
    • Projection of one vector onto another
  • Module 8: Derivatives and Higher Order Derivatives

    Overview:

    This module uses derivatives to determine the optimal values.

    Topics to Cover:

    • Introduction to Derivatives
    • Calculating derivatives and applications

  • Module 9: Partial Derivatives and Gradients

    Overview:

    This module extends the application of derivatives into partial derivatives.

    Topics to Cover:

    • Introduction to partial derivatives
    • Calculate partial derivatives & gradients

  • Module 10: Taylor Series

    Overview:

    This module applies Taylor Series in ML models.

    Topics to Cover:

    • Introduction to Taylor Series
    • Apply Taylor Series to Sin(x) functions

  • Module 11: Optimization - Gradient Descent

    Overview:

    This module optimizes the models using gradient descent.

    Topics to Cover:

    • What is Gradient Descent?
    • Application to one and two variables
    • Application to linear regression

Tools

Python
Ready to start learning?

Get access to top-rated courses, real projects, and job-ready skills.

Sign Up Now
Have questions?

We’re here to help. Talk to our advisors. 

STUDENT REVIEWS

What our graduates are saying

I had an incredible experience at this data science bootcamp! Coming in with no prior knowledge, I was amazed at how quickly I gained a solid understanding of the field. The curriculum is intensive and hands-on, allowing me to learn real, applicable skills through working on real client projects. The staff are exceptionally supportive and always ready to help. This bootcamp truly transformed my career path, and I couldn’t be more grateful for the knowledge and confidence I’ve gained. Highly recommended for anyone looking to break into data science!

My experience was awesome. I was taught by professional data engineers who shared their insights based on their professional experience. The topics covered are relevant to what employers are looking for and I enjoyed hands-on projects. I learned all the skills I needed to be a data engineer and I got a full-time offer as a data engineer, thanks to the mentors from WecloudData. I highly recommend this program. I was able to land interviews at Amazon, Yelp, CI Financial e.t.c

Deciding to go with WeCloudData was one of the best decisions I made during my career switch. Their Bootcamps are intense but they get you where you need to go. The instructors are amazing and the TAs very knowledgeable. Their client projects taught me a lot even after the bootcamp was done. I was able to land my current job thanks to the skills and training from the course.

I had the pleasure of attending WeCloudData’s Data Fundamentals bootcamp, which was fantastic. The highly qualified instructors used cutting-edge teaching techniques that greatly facilitated understanding the logic of coding and programming. They carefully progressed us from fundamental to more complex subjects, avoiding any feeling of overload. I wholeheartedly endorse this course for anyone hoping to become a data analyst—it’stheonly one you’ll need. The teachers are very outstanding!

This bootcamp provided me with the necessary technical skills and industry knowledge to secure a data job. The instructors are knowledgeable and shared everything they know to help me achieve my goals. The TAs are resourceful and patient answering my questions. The projects in the bootcamp enhanced my knowledge and impressed interviews. This is a wonderful bootcamp if you are looking to either imporve your skills or switch career!

Recommended if you're interested in Math for Machine Learning
Standard Course

AI Automation

Standard Course

Introduction to GitHub Actions

Standard Course

GCP Fundamentals

Standard Course

Introduction to Large Language Models

Learning Track

DevOps Engineering Track

Learning Track

MLOps Engineering Track

Learning Track

Cloud Engineering Track

Learning Track

Artificial Intelligence (AI) Engineering Track

Common Questions

Find answers to your questions about the Learning Track
  • Standard Courses: Focused, short courses that build foundational or intermediate skills through hands-on exercises, enabling you to apply what you learn immediately.
  • Track Courses: Structured learning paths that guide you from beginner to advanced levels. They include practical projects that integrate multiple tools and workflows, aligned with industry best practices, helping you gain the skills and confidence to tackle real-world challenges.

No. Track Courses are only accessible through the Professional or Unlimited+ subscription plans.

  • Standard Plan gives you access to all Standard Courses.
  • Professional Plan gives you access to both Standard and Track Courses within your chosen domain.
  • Unlimited+ Plan provides full access to all courses — both Standard and Track — across all domains.

 

Yes, all courses are designed to be self-paced. Learn when it fits your schedule.

Each course includes prerequisites if needed. Many Standard Courses are beginner-friendly.

Still have questions?

If you have other queries or specific concerns, don’t hesitate to let us know. Your feedback is important to us, and we aim to provide the best support possible.

Contact Us

Your Learning Journey Awaits 🚀

Grow your skills, build projects you’ll be proud of, and unlock new opportunities — all at your pace.

Get Started Now
WeCloudData

WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.

Sign up for newsletter

"*" indicates required fields

This field is for validation purposes and should be left unchanged.
Programs
Corporate Services
Resources
Company
Let’s Connect!
Facebook-f Twitter Linkedin Instagram Meetup

Canada:

180 Bloor St W #1003

Toronto, ON, Canada M5S 2V6

US:

16192 Coastal Hwy

Lewes, DE 19958, USA

info@weclouddata.com

Download Math for Machine Learning Course Package