Udemy – Learn Web Application Development with Machine Learning 2022-9 – Downloadly

Description

Learn Web Application Development with Machine Learning in the course. Machine learning is a branch of artificial intelligence (AI) that focuses on developing programs that learn from data and improve their accuracy over time without planning to do so. In data science, an algorithm is a sequence of statistical processing steps. In machine learning, algorithms are trained to find patterns and features in large amounts of data to make decisions and predictions based on new data. The better the algorithm, the more accurate the decisions and predictions become the more data it processes. Machine learning has produced amazing results, such as the ability to analyze medical images and predict diseases on par with human experts. Google’s AlphaGo program was able to use deep reinforcement learning to defeat a world champion in a strategic game. Machine learning is even being used to program self-driving cars, which will change the automotive industry forever. Imagine a world where car accidents are drastically reduced simply by eliminating human error. Topics covered in this course:

1. Warming up with machine learning libraries: Anesthesia, Pandas

2. Implementation of machine learning algorithms: linear, logistic regression

3. Implement the neural network from scratch

4. An introduction to TensorFlow and Cross

5. Start with Flask’s simple “Hello World” program

6. Create a Flask program to implement linear regression and test API endpoints

7. Implement transfer training and create an application to implement image classification

What you will learn in the course “Learning Web Application Development with Machine Learning”

Master of Machine Learning in Python
Learn more about regression and classification tasks
Learn more about neural networks
Get to know projects with deep neural networks
Creating web applications with Flask
Simple modeling with Scikit-Learn, TensorFlow and Keras
Creating a REST API for machine learning models
Learn more about exploratory data analysis
Perform linear and logistic regression
Implementation of a convolutional neural network
Learn more about using Postman to test API endpoints

This course is suitable for people who

A programmer who wants to learn machine learning by building web applications
Data scientists who want to know how to further test and monitor their models
Beginner Python Programmer
Machine learning engineer who wants to create fun projects using his basic knowledge