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    Video Segment

    Key Concepts for Success with Intelligent Systems

    This video segment introduces a pattern for organizing machine learning systems, including closing the loop between users and intelligence, and balancing the parts of the system so that they support one another.

    Geoff Hulten in Building Intelligent Systems (2019)

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    The Experience

    This video segment explains how user experience and intelligence work together to achieve results, and how experience can support intelligence by making mistakes less costly.

    Geoff Hulten in Building Intelligent Systems (2019)

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    Video Segment

    Intelligence Creation

    This video segment introduces common ways to organize intelligence so that multiple people can contribute over the lifetime of an Intelligent System.

    Geoff Hulten in Building Intelligent Systems (2019)

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    Video Segment

    Approaching Your Intelligent System

    This video segment reviews the content, provides a checklist for approaching your Intelligent Systems project and tells you where to get more information on building intelligent systems.

    Geoff Hulten in Building Intelligent Systems (2019)

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    Video Segment

    The Objective

    This video segment discusses the types of problems that benefit from Intelligent Systems and gives an example of how to start simple, but achieve more and more impact over time.

    Geoff Hulten in Building Intelligent Systems (2019)

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    Video Segment

    The Implementation

    This video segment gives an overview of the components you can build to support your Intelligent System by allowing it to run more efficiently and adapt quickly and cheaply.

    Geoff Hulten in Building Intelligent Systems (2019)

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    Video Segment

    Intelligence Orchestration

    This video segment discusses the lifecycle of an Intelligent System and many of the reasons it might need to change – including mistakes.

    Geoff Hulten in Building Intelligent Systems (2019)

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    Video Segment

    Vendor Evaluation

    There are over 70 RPA vendors on the market. So you need to find ways to narrow the list down and find those software applications that best fit your needs.

    Tom Taulli in Robotic Process Automation (2020)

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    Video Segment

    Example 1 – Testing Our Model

    In this segment everything comes together and we see how our neural network works.

    Nemanja Milosevic in Introduction to Convolutional Neural Networks (2020)

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    Video Segment

    Architecture of a Machine Learning IDS

    This segment gives an overview of how the ML-based IDS is implemented.

    Emmanuel Tsukerman in Designing a Machine Learning Intrusion Detection System (2020)

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    Video Segment

    Voice Commands Using Arduino and Machine Learning

    This segment provides a step by step guide on how to setup hardware components and use a tensorflowLite model to recognize ‘yes’ and ‘no’ voice commands.

    Julia Makivic in Voice Commands Using Arduino and Machine Learning (2020)

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    Video Segment

    Bot Development

    This will be a short demo of how to create a simple bot. This will be done using the UiPath platform.

    Tom Taulli in Robotic Process Automation (2020)

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    Video Segment

    TensorFlow Model Export Formats

    Save and export your trained TensorFlow models in different file formats while discovering some basics of each format.

    Vikraman Karunanidhi in Deploying TensorFlow Models to a Web Application (2020)

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    Video Segment

    Example 2 – Convolutional Model

    In this segment we define and test our convolutional neural network model.

    Nemanja Milosevic in Introduction to Convolutional Neural Networks (2020)

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    Video Segment

    Training a Classifier

    In this segment learn how to train the ML classifier components of a ML-based IDS.

    Emmanuel Tsukerman in Designing a Machine Learning Intrusion Detection System (2020)

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    Video Segment

    Data

    AI is becoming more important with RPA. But to be successful, you need to have a data preparation plan.

    Tom Taulli in Robotic Process Automation (2020)

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    Video Segment

    Understanding Flask API to Deploy TF Models

    Deploy basic machine learning models with Flask API.

    Vikraman Karunanidhi in Deploying TensorFlow Models to a Web Application (2020)

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    Video Segment

    Example 3 – Pretrained Models

    In this example coding segment we demostrate how pretrained models are used.

    Nemanja Milosevic in Introduction to Convolutional Neural Networks (2020)

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    Video Segment

    An Overview of the State-of-the-Art

    This segment gives an overview of the state of the art for the field of Intrusion Detection via Machine Learning. Learn about possible directions of research.

    Emmanuel Tsukerman in Designing a Machine Learning Intrusion Detection System (2020)

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    Video Segment

    Why Use TensorFlow Lite

    Look over the various features of TensorFlow Lite and how to run machine learning models on embedded devices.

    Faisal Zaman in TensorFlow Lite for Mobile Development (2020)

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