Machine Learning Mastery

Master Machine Learning Without the Math Overwhelm

Machine Learning Mastery sent this email to their subscribers on August 22, 2024.

Hi, you must understand machine learning algorithms to get good at machine learning.

If you are like me then you understand something best when you can implement it from scratch. You need to understand each piece so you can understand the whole.

A sticking point with machine learning is the math. You want to dive into the details of machine learning algorithms but you don't want to spend the next 3 years studying advanced mathematics.

I've been working on this problem. It's a sticking point for a lot of beginners in machine learning. The solution involves two pieces:

1. Clear procedures for how machine learning algorithms learn from data and make predictions.
2. Step-by-step tutorials that show exactly how to make each procedure work, with real numbers rather than abstract equations.

I have done all of the leg work and in my Ebook titled: Master Machine Learning Algorithms.

It provides a gentle introduction to 10 top machine learning algorithms with the procedures and background you need.

The 12 step-by-step tutorials show you exactly how each algorithm works (from scratch). Every single equation is demonstrated with real numbers that you can reproduce. Nothing is hidden.

As a bonus you also get 16 spreadsheets that show you exactly how each machine learning algorithm is implemented. You will know exactly how every single number is calculated. The power of machine learning algorithms presented in something as simple as spreadsheets. It's everything you need to finally understand how they work.

* All the math is explained. No background in math or machine learning is required.
* All examples work in a spreadsheet, calculator or your favorite programming language. No programming is required.
* All the principles on machine learning algorithms are provided, like bias, variance, overfitting and more. No background in machine learning is required.

If you're a machine learning beginner, take a look at my Ebook: 

     >> Master Machine Learning Algorithms

As a valued reader, I want to reward you with a promotion code. Use the code ALGO20 to get 20% off.

Jason.

PS. If you have any questions hit reply. It goes straight to my inbox.

Text-only version of this email

Hi, you must understand machine learning algorithms to get good at machine learning. If you are like me then you understand something best when you can implement it from scratch. You need to understand each piece so you can understand the whole. A sticking point with machine learning is the math. You want to dive into the details of machine learning algorithms but you don't want to spend the next 3 years studying advanced mathematics. I've been working on this problem. It's a sticking point for a lot of beginners in machine learning. The solution involves two pieces: 1. Clear procedures for how machine learning algorithms learn from data and make predictions. 2. Step-by-step tutorials that show exactly how to make each procedure work, with real numbers rather than abstract equations. I have done all of the leg work and in my Ebook titled: Master Machine Learning Algorithms. It provides a gentle introduction to 10 top machine learning algorithms with the procedures and background you need. The 12 step-by-step tutorials show you exactly how each algorithm works (from scratch). Every single equation is demonstrated with real numbers that you can reproduce. Nothing is hidden. As a bonus you also get 16 spreadsheets that show you exactly how each machine learning algorithm is implemented. You will know exactly how every single number is calculated. The power of machine learning algorithms presented in something as simple as spreadsheets. It's everything you need to finally understand how they work. * All the math is explained. No background in math or machine learning is required. * All examples work in a spreadsheet, calculator or your favorite programming language. No programming is required. * All the principles on machine learning algorithms are provided, like bias, variance, overfitting and more. No background in machine learning is required. If you're a machine learning beginner, take a look at my Ebook:       >> Master Machine Learning Algorithms As a valued reader, I want to reward you with a promotion code. Use the code ALGO20 to get 20% off. Jason. PS. If you have any questions hit reply. It goes straight to my inbox. To make sure you keep getting these emails, please add [email protected] to your address book or whitelist us. Want out of the loop? . Our postal address: 151 Calle de San Francisco, Suite 200, San Juan, PR 00901
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