Machine learning and its methods can help you training neural networks to identify patterns and interpret any project or business benefit results.
All the newcomers who take on studying machine and deep learning processes are continually developing by learning exciting problems at the forefront of technology. As the market offers only a few experts, finding a customer or an employer for young specialists takes less time.
The areas of machine learning applications are diverse but popular and in demand, like marketing, fintech, crisis management, risk management, security, medicine, robotics, etc. The widespread stereotype that machine learning is the most challenging area of data analysis is just a myth.
Our course will help you master machine learning basics, refresh the mathematical framework in your memory, and give you a complete toolkit for working with machine learning algorithms.
Be ready for intensive training; Personal laptop or computer
Knowledge of English: Intermediate (B2)
Knowledge of Python, experience with NumPy, Pandas preferred; Knowledge of statistics, mathematics at the level of higher education
18 years and older
Strong abilities to analyze the project step by step
To use the machine learning algorithms (regression, decision tree, boost)
To be able to use algorithms in accordance with the task and model
To build Machine Learning models and know how to combine them to solve any problem to perform data preprocessing and data validation
Know the performance indicators of the model: Accuracy, Precision, Recall, etc.
To understand and practice unsupervised learning and deep learning with frameworks.
Number of modules
"Neural Networks introduction:
Numpy -də sadə NN tətbiqi
Mətn emalı və NLP -yə giriş