Udemy – Machine Learning Practice

explanation

Machine Learning Practice | The name of the curriculum that applies machine learning, including 8 real-life projects, is where you learn by building 8 projects ranging from basics to professional deep learning/machines and neural networks. The goal of this course is to provide core knowledge for practical use of deep learning/machine technology in easy and interesting industrial fields. In this course, learners will gain hands-on experience training a variety of models using real-world datasets on a variety of topics such as image classification, predictive model development, development models, natural language processing, or NLP and systems. As in the examples used by Amazon and Netflix, they suggest to the developer what they want to be paid for.

In this course you will learn:

Applications of Deep Learning
Application Machine Learning
How to Use Artificial Neural Networks to Predict Car Sales
How to use neural networks for image classification
How to classify traffic signs using the neural network LE-NET
How to classify images based on CNN using learning model TRANSFER
How to use PROPHET time series to predict crime and market conditions
NLP development model for analytics, comments, and spam detection
Using user-based collaborative filtering to develop bidder systems.

Specification period

Publisher: Udemy
Teachers: Ryan Ahmed, Mitchell Bouchard, Regency Team
Language: English,
Education level: Introductory
Number of classes: 90
Time: 14 hours 14 minutes