Hello, In this part I will explain in-place rotation of a 2D matrix, without using another matrix for storing, so that we just change the original matrix.
I will explain the case when the degree of rotation is 90 degrees as a ground case and then talk about other cases like -90, 180, 270.
Hello, I will explain 5 interpretations of matrix multiplication which are necessary to know for machine learning and data science.
A reminder about matrix notation:
CODEX
Hello, I will explain two algorithms to find the kth even and the kth odd numbers in the Fibonacci series.
If you haven’t heard of it, Fibonacci series is this:
Explaining what is lambda function in python and how to use it professionally.
A lambda function is an anonymous function to use only once. The form is:
lambda arguments : expression
It can take any number(even 0) of arguments, but must have one expression . do NOT put parenthesis around arguments, just separate them with comma.
I have divided the story into 18 parts.
- Defining and calling together
CODEX
Hello, we are gonna solve a puzzle regarding palindrome numbers.
A palindrome number is read the same backwards like 121 or 1221.
Let’s see how to write an algorithm that returns true if a positive integer is palindrome and false otherwise. I’m using python language. there are different ways of doing so but we want to come up with an algorithm with linear time complexity which means the running time of it should increase linearly versus the number of digits of the input. I’m using python language. we should check if the number is equal to it’s reverse.
Method 1: without conversion to string
The while loop creates the reverse of input and the best thing…
CODEX
Hello, We are going to explore various ways of reversing objects (string, list, …) in python.
Reversing a list with reverse() method
This method does not take any arguments and return anything. It just reverses the original list.
full stack and deep learning in AWS
Introduction
In this Project I trained an algorithm to classify facial expressions. The algorithm used is AWS SageMaker image classification algorithm which is a supervised learning algorithm. It takes an image as input and outputs one or more labels assigned to that image. It uses a convolutional neural network (with ResNet architecture) that can be trained from scratch or trained using transfer learning. After the model is created from training, I made it externally available by creating a REST API.
This project was done for learning and practice after finishing a 4-week 8-session course, “deep learning & full stack in AWS”…
sepehr vafaei
Studied Mechanical Engineering and Computing Science+Loves art
