Regularization Courses and Certifications

Microcredential

Foundations of Neural Networks

Master advanced neural network concepts, from foundational theory to practical implementation in Python, while exploring ethical considerations in AI system development.

• Coursera
• On-Demand
• Paid Course
• 3 courses

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

63316 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

26859 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)

4976 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

Practical AI and Machine Learning with Model Builder AutoML

30 ratings at Udemy

Master machine learning by doing it in practice, using an automated machine learning GUI that requires little/no coding.

• Udemy
• 3 hours 31 minutes
• 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)

Data Analysis and Visualization

This course will introduce students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques.

• Udacity
• 16 weeks
• On-Demand
• Free Online Course

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)

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

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