## How I learn ML algorithms

Honestly, I learn from blogs, videos, and book chapters. I can tell you I go piece by piece. Obviously I’ve

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## How I learn ML algorithms

## Polynomial Regression with Linear Algebra

## Machine Learning and Deep Learning Books

## Criticism on Convolutional Neural Networks

## Linear Regression with Linear Algebra

## 1.2 Most Famous Convolutional Neural Networks and Comparisons

## 1.1 Questions to the Convolutional Neural Network

## A Practical Convolutional Neural Network Course, Free on YouTube

## When to use Keras? When to switch for others?

## What is Imbalanced Dataset Problem?

Honestly, I learn from blogs, videos, and book chapters. I can tell you I go piece by piece. Obviously I’ve

DevamRecent article of the artificialturk.com mentions about the linear regression with matrix form. Let’s generalise it for the matrix form.

DevamIn this article we’ll be talking about the popular books and some reviews of them. And also we’ll talk about

DevamI’ve been doing a lot of work with Convolutional Neural Networks, although it’s amateur or their quality is disputable, it

DevamLinear Regression is the one of the simplest algorithm in machine learning, however, it is simple to learn and may

DevamYou are probably familiar with some of the neural network architectures. Success story of AlexNet comes up at first glimpse.

DevamWell, this course is about the practical sides of coding, not theoretical. Lots of libraries, easy to switch to another.

DevamHi everyone. As I told you before I have a YouTube channel Makine Öğrenmesi. In this channel I’ve been giving

DevamLet’s begin and respect the creator. This guy was probably bored during coding neural network by hand. He probably tried

DevamImbalanced Dataset problem is the invisible problem for the beginners. It looks strange to be happen at the intelligence systems,

Devam