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Artificial Intelligence & Machine Learning for the Enterprise – Hands-on Overview is a technical, high-level primer on the foundations of AI, introducing each sub-field of AI and how they can be practically exploited in the modern business sense.

PRIVATE
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Unlimited Duration

Last Updated

March 3, 2021

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Certification

In this course you will 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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