Deep Dive into Data Science with KNIME Analytics Platform

location_city Bengaluru schedule Aug 30th 10:00 AM - 06:00 PM place Boardroom people 17 Interested add_circle_outline Notify

In this course we cover the major steps in a data science project, from data access, data pre-processing, and data visualization to machine learning, model optimization, and deployment using the KNIME Analytics Platform.


Outline/Structure of the Workshop

  • Introduction to the data science cycle (CRISP-DM)
  • Introduction to KNIME
  • Reading Data
  • Data Manipulation
  • Data Visualization
  • Machine Learning
  • Model Optimization
  • Exporting & Deployment

Target Audience

Data Scientists, Data Engineers, Data Specialists, Machine Learning Engineers, Data Science Enthusiasts

schedule Submitted 3 years ago

  • Kathrin Melcher

    Kathrin Melcher / Vincenzo Tursi - Sentiment Analysis with Deep Learning, Machine Learning or Lexicon Based

    90 Mins

    Do you want to know what your customers, users, contacts, or relatives really think? Find out by building your own sentiment analysis application.

    In this workshop you will build a sentiment analysis application, step by step, using KNIME Analytics Platform. After an introduction to the most common techniques used for sentiment analysis and text mining, we will work in three groups, each one focusing on a different technique.

    • Deep Learning: This group will work with the visual Keras deep learning integration available in KNIME (completely code free)
    • Machine Learning: This group will use other machine learning techniques, based on native KNIME nodes
    • Lexicon Based: This group will focus on a lexicon based approach for sentiment analysis
  • Sohan Maheshwar

    Sohan Maheshwar - It's All in the Data: The Machine Learning Behind Alexa's AI Systems

    Sohan Maheshwar
    Sohan Maheshwar
    Alexa Evangelist
    schedule 3 years ago
    Sold Out!
    45 Mins

    Amazon Alexa, the cloud-based voice service that powers Amazon Echo, provides access to thousands of skills that enable customers to voice control their world - whether it’s listening to music, controlling smart home devices, listening to the news or even ordering a pizza. Alexa developers use advanced natural language understanding that to use capabilities like built-in slot & intent training, entity resolution, and dialog management. This natural language understanding is powered by advanced machine learning algorithms that will be the focus of this talk.

    This session will tell you about the rise of voice user interfaces and will give an in-depth look into how Alexa works. The talk will delve into the natural language understanding and how utterance data is processed by our systems, and what a developer can do to improve accuracy of their skill. Also, the talk will discuss how Alexa hears and understands you and how error handling works.