Build on your existing knowledge with intermediate unsupervised learning techniques and real-world applications.
Linear algebra, probability, and calculus fundamentals
Comfortable writing Python scripts and using libraries
But what is a neural network? | Deep learning chapter 1
IntermediateThe Essential Main Ideas of Neural Networks
IntermediateLearn Machine Learning Like a GENIUS and Not Waste Time
IntermediateAll Machine Learning algorithms explained in 17 min
IntermediateHow To Learn Math for Machine Learning FAST (Even With Zero Math Background)
IntermediateNeural Networks and Deep Learning: Crash Course AI #3
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateTransformers Explained - How transformers work
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateUnsupervised Learning and Clustering with R
IntermediateUnsupervised Learning, Recommenders, Reinforcement Learning
IntermediatePractical Deep Learning for Coders
IntermediateApplied Machine Learning: Ensemble Learning
IntermediateApplied Machine Learning: Supervised Learning
IntermediatePractical Deep Learning for Coders - fast.ai
IntermediateBut what is a neural network? | Deep learning chapter 1
IntermediateThe Essential Main Ideas of Neural Networks
IntermediateLearn Machine Learning Like a GENIUS and Not Waste Time
IntermediateAll Machine Learning algorithms explained in 17 min
IntermediateHow To Learn Math for Machine Learning FAST (Even With Zero Math Background)
IntermediateNeural Networks and Deep Learning: Crash Course AI #3
IntermediateNatural Language Processing: Crash Course AI #7
IntermediateTransformers Explained - How transformers work
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateUnsupervised Learning and Clustering with R
IntermediateUnsupervised Learning, Recommenders, Reinforcement Learning
IntermediatePractical Deep Learning for Coders
IntermediateApplied Machine Learning: Ensemble Learning
IntermediateApplied Machine Learning: Supervised Learning
IntermediatePractical Deep Learning for Coders - fast.ai
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
But what is a neural network? | Deep learning chapter 1
The Essential Main Ideas of Neural Networks
Learn Machine Learning Like a GENIUS and Not Waste Time
All Machine Learning algorithms explained in 17 min
How To Learn Math for Machine Learning FAST (Even With Zero Math Background)
Neural Networks and Deep Learning: Crash Course AI 3
Natural Language Processing: Crash Course AI 7
Transformers Explained - How transformers work
Illustrated Guide to Transformers Neural Network: A step by step explanation
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
This course teaches you how to use R to apply clustering, dimensionality reduction, and anomaly detection techniques to explore and analyze unlabeled datasets, including algorithms like k-means, hierarchical clustering, and DBSCAN.
Learn DeepLearning.AI Unsupervised Learning, Recommenders, Reinforcement Learning
Top-down approach to deep learning using the fast.ai library. Build state-of-the-art models without needing a PhD.
Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.
This course shows you how to apply supervised learning techniques to real-world problems, focusing on both classification and regression tasks. You'll start with basic models and advance to more complex algorithms like decision trees and XG Boost.
Learn to train state-of-the-art models in computer vision, NLP, tabular data, and collaborative filtering. No PhD required!
Explore related content to expand your skills beyond this learning path.
Enroll in this path to track your progress and stay motivated.