Data Science

ML with Python: from Linear Models to Deep Learning.

(0 reviews)
Share icon
eDX

Understand machine learning ideas and project management strategies in order to effectively develop and analyze different models.

Key AI Functions:machine learning algorithms,data science,python,algorithms,reinforcement learning,machine learning,support vector machine,artificial neural networks,sales,linear model,prediction,forecasting,deep learning,recommender systems,statistics,consumer behaviour,experimentation,computer science,ai & machine learning

Description for ML with Python: from Linear Models to Deep Learning.

  • Machine Learning Principles: Acquire a comprehensive comprehension of machine learning challenges, including clustering, regression, classification, and reinforcement learning.
  • Machine Learning Models: Learn to implement and analyze machine learning models, including linear models, kernel machines, neural networks, and graphical models.
  • Model Selection for Applications: Comprehend the process of selecting the appropriate model for various machine-learning tasks.
  • Machine Learning Project Management: Acquire proficiency in the management of machine learning projects, which encompasses parameter optimization, feature engineering, training, and validation.

Level: Advanced

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On edX provided by MITx

Duration: 10�14 hours per week approx 15 weeks

Schedule: Instructor-paced

Reviews for ML with Python: from Linear Models to Deep Learning.

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for ML with Python: from Linear Models to Deep Learning.