Machine Learning Fundamentals - Machine Learning for Beginners

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Machine Learning for Beginners

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1.The Machine Learning Problem

Understanding Images Through Programming How Do Humans Learn?Problem-Solving Through Machine Learning The Machine Learning Process Applied on Machine Learning Problems

2.The Machine Learning Process

Data Model Training Prediction Evaluation

3.From a Single Neuron to Artificial Neural Networks

Data—Not Neatly Separable Model—Artificial Neural Networks Training—Learning Through Gradient Descent The ML Process Using scikit-learn

4.Code for Machine Learning Using scikit-learn

Recognizing More Objects—Multiclass Classification Prediction with Regression Unsupervised Learning Through Clustering ML Challenge

5.Concluding Thoughts

The Place of ML in Artificial Intelligence (AI)

Project

How to Predict the Traffic Volume Using Machine Learning

Mock Interview

Machine Learning Fundamentals