Mathematical Foundations of Machine Learning

Udemy Coupon Code for Mathematical Foundations of Machine Learning Course by Dr Jon Krohn, SuperDataScience Team, Ligency Team with 16.5 hours on-demand video course. Essential Linear Algebra and Calculus Hands-On in NumPy, TensorFlow, and PyTorch

Courses Contents

* Mathematical Foundations of Machine Learning

* What you’ll learn

* Recommended Mathematics Courses

* Mathematical Foundations of Machine Learning Course Reviews

* Mathematical Foundations of Machine Learning Course Rating

Mathematical Foundations of Machine Learning

Mathematics forms the core of data science and machine learning. Thus, to be the best data scientist you can be, you must have a working understanding of the most relevant math.

Getting started in data science is easy thanks to high-level libraries like Scikit-learn and Keras. But understanding the math behind the algorithms in these libraries opens an infinite number of possibilities up to you. From identifying modeling issues to inventing new and more powerful solutions, understanding the math behind it all can dramatically increase the impact you can make over the course of your career.

Led by deep learning guru Dr. Jon Krohn, this course provides a firm grasp of the mathematics — namely linear algebra and calculus — that underlies machine learning algorithms and data science models.

Course Sections

* Linear Algebra Data Structures

* Tensor Operations

* Matrix Properties

* Eigenvectors and Eigenvalues

* Matrix Operations for Machine Learning

* Limits

* Derivatives and Differentiation

* Automatic Differentiation

* Partial-Derivative Calculus

* Integral Calculus

Throughout each of the sections, you’ll find plenty of hands-on assignments, Python code demos, and practical exercises to get your math game in top form!

This Mathematical Foundations of Machine Learning course is complete, but in the future, we intend on adding extra content from related subjects beyond math, namely: probability, statistics, data structures, algorithms, and optimization. Enrollment now includes free, unlimited access to all of this future course content — over 25 hours in total.

What you’ll learn

* Understand the fundamentals of linear algebra and calculus, critical mathematical subjects underlying all of machine learning and data science

* Manipulate tensors using all three of the most important Python tensor libraries: NumPy, TensorFlow, and PyTorch

* How to apply all of the essential vector and matrix operations for machine learning and data science

* Reduce the dimensionality of complex data to the most informative elements with eigenvectors, SVD, and PCA

* Solve for unknowns with both simple techniques (e.g., elimination) and advanced techniques (e.g., pseudoinversion)

* Appreciate how calculus works, from first principles, via interactive code demos in Python

* Intimately understand advanced differentiation rules like the chain rule

* Compute the partial derivatives of machine-learning cost functions by hand as well as with TensorFlow and PyTorch

* Grasp exactly what gradients are and appreciate why they are essential for enabling ML via gradient descent

* Use integral calculus to determine the area under any given curve

* Be able to more intimately grasp the details of cutting-edge machine learning papers

* Develop an understanding of what’s going on beneath the hood of machine learning algorithms, including those used for deep learning

Recommended Mathematics Courses

9.6

[]()

Mathematics-Basics to Advanced for Data Science And GenAI

Build Strong math foundation with linear algebra,stats,probability,differential calculus for mastering data science

$9.99 $119.99 REDEEM

[]()

Math 0-1: Probability for Data Science & Machine Learning Best seller

Probability for Data Science & Machine Learning. A Casual Guide for Artificial Intelligence, Deep Learning, and Python …

$42 $119.99 REDEEM

Mathematical Foundations of Machine Learning Course Reviews

Everything You Need to Know About Mathematical Foundations of Machine Learning

This course offers a comprehensive and well-structured introduction to Mathematical. Dr. John Kron, the instructor, brings a wealth of expertise in Development, making this course both informative and engaging.

The course structure is easy to follow. Each section, for example, covers a different aspect of Mathematical Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.

Moreover, the instructor explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.

What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.

Another standout feature is the platform itself. Udemy Coupons offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.

In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.

Overall, I highly recommend the Mathematical Foundations of Machine Learning to anyone looking to learn Mathematics. This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.

Mathematical Foundations of Machine Learning Course Rating

9.6Expert Score

Mathematical Foundations of Machine Learning

Essential Linear Algebra and Calculus Hands-On in NumPy, TensorFlow, and PyTorch

16.5 hours on-demand video

9.6

2 articles

9.6

Access on mobile and TV

9.6

Certificate of completion

9.6

This Udemy coupon unlocks a guided path into Mathematical Foundations of Machine Learning, so you know exactly what outcomes to expect before you even press play.

This Udemy course blends real project wins with step-by-step coaching from instructors who live and breathe Development.

The modules are sequenced to unpack Data Science step by step, blending theory with scenarios you can reuse at work while keeping the Udemy course reviews tone in mind.

Video walkthroughs sit alongside quick-reference sheets, checklists, and practice prompts that make it easy to translate the material into real projects, especially when you grab Udemy discounts like this one.

Because everything lives on Udemy, you can move at your own pace, revisit lectures from any device, and pick the payment setup that fits your budget—ideal for stacking extra Udemy coupon savings.

The teaching team also keeps an eye on the Q&A and steps in quickly when you need clarity. You'll find fellow learners trading tips, keeping you motivated as you sharpen your Development skill set with trusted Udemy discounts.

Ready to dive into Mathematical Foundations of Machine Learning? This deal keeps the momentum high and hands you the tools to apply Data Science with confidence while your Udemy coupon is still active.