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The Exploring AI & Machine Learning for the Enterprise Overview is an introductory-level, lecture, demonstration and group discussion style course that explores the foundations of AI and how AI can be practically exploited in the modern business sense.

PRIVATE
Course Access

Unlimited Duration

Last Updated

March 6, 2021

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Certification

This course introduces AI from a practical applied business perspective.In this course you learn about:

· What AI is and what it Isn’t

· The different types and sub-fields of AI

· The differences between Machine Learning, Expert Systems, and Neural Networks

· The latest in applied theory

· How AI is used in processing language, images, audio, and the web

· The current generation of tools used in the marketplace

· What’s next in applied AI for businesses

Course Curriculum

    • Definitions of AI 00:00:00
    • Types of AI 00:00:00
    • Mathematics in AI 00:00:00
    • Deep and Wide learning 00:00:00
    • AI and SciFi 00:00:00
    • AI in the Modern Age 00:00:00
    • Supervised vs. Unsupervised 00:00:00
    • Classification 00:00:00
    • Regression 00:00:00
    • Clustering 00:00:00
    • Dimensionality Regression 00:00:00
    • Ensemble Methods 00:00:00
    • Rules Systems 00:00:00
    • Feedback loops 00:00:00
    • RETE and beyond 00:00:00
    • Expert Systems in practice 00:00:00
    • Neural Networks 00:00:00
    • Recurrent Neural Networks 00:00:00
    • Long-Short Term Memory Networks 00:00:00
    • Applying Neural Networks 00:00:00
    • Language and Semantic Meaning 00:00:00
    • Bigrams, Trigrams, and n-Grams 00:00:00
    • Root stemming and branching 00:00:00
    • NLP in the world 00:00:00
    • Image processing and Identification 00:00:00
    • Facial Analysis 00:00:00
    • Audio Processing 00:00:00
    • Analyzing Streaming Video 00:00:00
    • Real-world AV processing 00:00:00
    • Sentiment: The beginnings of emotional understanding 00:00:00
    • Sentiment indicators 00:00:00
    • Sentiment Sampling 00:00:00
    • Algorithmic Trading on Sentiment 00:00:00
    • Predicting Elections 00:00:00
    • Python, NumPy, Pandas, SciKit 00:00:00
    • Hadoop and Spark 00:00:00
    • NoSQL Databases 00:00:00
    • TensorFlow, Keras, and NLTK 00:00:00
    • Drools 00:00:00
    • Current Developments 00:00:00
    • Gazing the Crystal Ball 00:00:00

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