Regularization Courses and Certifications

Meaningful Predictive Modeling

48 ratings at Coursera

Evaluate and compare predictive models using diagnostic techniques and performance measures. Learn to implement training/validation/test pipelines for robust model generalization.

• Coursera
• 8 hours 33 minutes
• On-Demand
• Free Online Course (Audit)

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

63169 ratings at Coursera

Enhance deep learning skills: master hyperparameter tuning, regularization, optimization, and TensorFlow implementation for improved neural network performance and systematic results generation.

• Coursera
• 23 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

DeepLearning.AI;  Stanford

Supervised Machine Learning: Regression and Classification

24299 ratings at Coursera

Develop machine learning skills using Python, covering regression and classification techniques with hands-on practice in NumPy and scikit-learn for real-world AI applications.

• Coursera
• 1 day 9 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

A deep understanding of deep learning (with Python intro)

4510 ratings at Udemy

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.

• Udemy
• 2 days 9 hours 20 minutes
• On-Demand
• Paid Course

Master Machine Learning , Deep Learning with Python

120 ratings at Udemy

Complete course covering fundamentals of Machine learning , Deep learning with Python code

• Udemy
• 5 hours
• On-Demand
• Paid Course

Modern Deep Convolutional Neural Networks with PyTorch

98 ratings at Udemy

Image Recognition with Convolutional Neural Networks. Advanced techniques for Deep Learning and Representation learning

• Udemy
• 1-2 hours
• On-Demand
• Free Online Course

Simplified: Intro to Machine Learning

49 ratings at Udemy

Learn what machine learning is all about in this beginner-level entry course

• Udemy
• 1-2 hours
• On-Demand
• Paid Course

CertNexus

Build Regression, Classification, and Clustering Models

16 ratings at Coursera

Learn to build regression, classification, and clustering models using various algorithms. Gain hands-on experience in model selection, evaluation, and tuning for supervised and unsupervised learning tasks.

• Coursera
• 20 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

Deep Learning with PyTorch

12 ratings at DataCamp

Learn to create deep learning models with the PyTorch library.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning Course

Comprehensive exploration of machine learning fundamentals, covering linear models, neural networks, SVMs, and key principles for effective algorithm implementation and evaluation.

• YouTube
• 1 day
• On-Demand
• Free Video

AI skills for Engineers: Supervised Machine Learning

Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.

• edX
• 6 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Machine Learning

1 review

Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.

• YouTube
• 22 hours
• On-Demand
• Free Video

Deep Learning Crash Course for Beginners

1 review

Comprehensive introduction to deep learning fundamentals, covering neural networks, learning types, architectures, and model development steps. No coding required, ideal for beginners.

• freeCodeCamp
• 1-2 hours
• On-Demand
• Free Video

Deep Learning with PyTorch: Zero to GANs

1 review

"Deep Learning with PyTorch: Zero to GANs" is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Enroll now to start learning.

• Jovian
• 24 weeks, 2-3 hours a week
• On-Demand
• Free Online Course

University of Tübingen

Introduction to Machine Learning

Explore key machine learning concepts and techniques, from linear regression to deep learning, clustering, and dimensionality reduction, with hands-on applications.

• YouTube
• 11 hours
• On-Demand
• Free Online Course