Machine Learning Magic: Unleashing the Power of Algorithms

The "Machine Learning Fundamentals" course is a comprehensive and essential learning resource designed to provide individuals with a solid foundation in the principles and concepts of machine learning. This course covers a wide range of fundamental topics, equipping participants with the necessary knowledge and skills to excel in the field of machine learning. By enrolling in this course, individuals can gain a deep understanding of the core principles and techniques that underpin machine learning algorithms and applications.

The course begins with an informative overview, providing participants with a clear understanding of the course structure, objectives, and the value it offers. It sets the stage for the subsequent topics that delve into probability and statistics, which are fundamental components of machine learning. Participants will learn about probability and information theory, combinatorics for probability, and the law of large numbers, which are crucial concepts for understanding the probabilistic nature of machine learning algorithms.

Furthermore, the course covers the different distributions commonly used in machine learning. Participants will gain insights into various distributions such as:

  • Uniform distribution
  • Gaussian distribution
  • log-normal distribution
  • exponential distribution
  • Laplace distribution
  • binomial distribution
  • multinomial distribution
  • Poisson distribution.

Understanding these distributions is vital for modeling and analyzing data in machine learning applications.

Machine learning optimization is another critical topic covered in the course. Participants will learn how to calculate the error of a machine learning model, enabling them to evaluate and optimize their models effectively. This knowledge is essential for improving model performance, making informed decisions, and iteratively refining machine learning algorithms.

Enroll in this course, and gain a solid understanding of the foundational concepts and techniques in machine learning. The comprehensive coverage of probability, statistics, distributions, and optimization will equip participants with the necessary skills to tackle real-world machine learning problems. Don't miss out on this incredible opportunity to enhance your understanding and proficiency in machine learning.


Your Instructor


Alexandra Kropf
Alexandra Kropf

Alexandra Kropf is Mammoth Interactive's CLO and a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.

Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvardโ€™s edX, Business Insider and more.

Over 12 years, Mammoth Interactive has built a global student community with 4 million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.

Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you.


Course Curriculum


  Course Overview - Machine Learning Fundamentals
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  Machine Learning Optimization
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  Source Files
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!