Exploring AI & Machine learning

• Search & adversarial problems
• Supervised learning models
• Applying machine learning
• Neural networking
• Constraint satisfaction problems
• Natural Language Processing
• Reinforcement & unsupervised learning
• Convolutional & recurrent Neural Network

   Developing AI & Machine learning with Python & Java

• Machine learning & data analytics
• Neuroph framework & NLP implementation
• Expert systems & reinforcement learning
• Deep Learning & Neural Network Implementation
• Implementing ML Algorithm Using scikit-learn
• Robotic Process Automation

 AI development with TensorFlow

• Simple Regression & Classification Models
• Building Autoencoders
• Sentiment Analysis with Recurrent Neural Networks
• Deep Neural Networks & Image Classification
• Word Embeddings
• K-means Clustering with TensorFlow

Kursets opbygning:

Dette kursus består af e-bøger og en række dybdegående e-learningskurser, så du kan bagefter har erfaring i at arbejde med AI og machine learning