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Exploring AI & Machine Learning for the Enterprise (TTML5500)
Lessons
Applying Neural Networks
Lesson List
Browse Q&A
1. Artificial Intelligence
Definitions of AI
Types of AI
Mathematics in AI
Deep and Wide learning
AI and SciFi
AI in the Modern Age
2. Machine Learning
Supervised vs. Unsupervised
Classification
Regression
Clustering
Dimensionality Regression
Ensemble Methods
3. Expert Systems
Rules Systems
Feedback loops
RETE and beyond
Expert Systems in practice
4. Neural Networks
Neural Networks
Recurrent Neural Networks
Long-Short Term Memory Networks
Applying Neural Networks
5. Natural Language Processing
Language and Semantic Meaning
Bigrams, Trigrams, and n-Grams
Root stemming and branching
NLP in the world
6. Image, Video, and Audio Processing
Image processing and Identification
Facial Analysis
Audio Processing
Analyzing Streaming Video
Real-world AV processing
7. Sentiment Analysis
Sentiment: The beginnings of emotional understanding
Sentiment indicators
Sentiment Sampling
Algorithmic Trading on Sentiment
Predicting Elections
8. Current Tools of the Trade
Python, NumPy, Pandas, SciKit
Hadoop and Spark
NoSQL Databases
TensorFlow, Keras, and NLTK
Drools
9. What’s Next in AI
Current Developments
Gazing at the Crystal Ball
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Applying Neural Networks
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