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Intermediate
Artificial Intelligence & Machine Learning
en
Introduction to Machine Learning with TensorFlow
Udacity
Platform
· California, USA
About this course
Build powerful machine learning models to predict outcomes and uncover insights using data. This Nanodegree covers foundational supervised learning techniques like linear regression, decision trees, Naive Bayes, SVMs, and perceptrons, as well as neural networks with TensorFlow and unsupervised learning methods such as clustering, Gaussian mixture models, and dimensionality reduction.
Prerequisite Skills
Skills you should have before taking this course
Basic calculus
Basic probability
Basic descriptive statistics
Data Wrangling
Python for data science
Skills Gained
Skills you will develop by completing this course
Model Evaluation
Naive Bayes classifiers
Gaussian mixture models
Support vector machines
Decision trees
Clustering (K-means)
Neural networks with TensorFlow
Dimensionality reduction and PCA