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Umesh Hodeghatta

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  • Machine Learning Challenges - Data Integration and Transformation
    Machine Learning Challenges - Data Integration and Transformation
    Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: Aug 29 2018 51 mins
    AI Machine Learning model accuracy depends on the quality of data. In data science, when we say quality of data, it means data consistency, data completeness and data correctness which are all part of data integrity. In this session we will talk about how machine learning models can be adopted for data integration. Also, in case of some of the machine learning models, we assume data is normally distributed or data elements are appropriately scaled. However, it is not always true. Hence, data has to be transformed by normalizing data without losing its integrity. This is a big challenge in data science. Data integrity is maintained with the help of integrity constraints or the rules that are designed to keep data consistent and correct. In this session we will discuss some of the techniques and methods used for data integration, data transformation and normalization while ensuring data integrity. We will walk you through the steps involved with the help of examples.
  • AI – Warriors and Weapons
    AI – Warriors and Weapons
    Dr. Umesh Hodeghatta Rao, CTO, and Umesha Nayak, CEO, Nu-Sigma Analytics Labs Recorded: May 17 2018 53 mins
    Artificial Intelligence, Machine Learning, Deep Learning are the buzz words across the globe today. Businesses, as well as people, are trying to make out if it is simply hype or not. While there is hope there is also gloom somewhere, as far as AI is concerned. There is a lot of work to be done to ensure effective and valid deployment of AI solutions.

    Today’s AI concern is Frameworks and toolsets to manage the entire lifecycle in an integrated manner to ensure dependable results - which is the burgeoning need for AI to move forward. In this discussion, we will be focussing on some of the important challenges faced with respect to resources, frameworks, tools, and techniques for implementing AI and also the direction it is trending towards.
  • What is covered in AI Warriors and Weapons AI-inar on May 17th
    What is covered in AI Warriors and Weapons AI-inar on May 17th
    Dr. Umesh Hodeghatta CTO, and Umesha Nayak, N-U Sigma U-Square Analytics Lab Recorded: Apr 24 2018 3 mins
    Artificial Intelligence, Machine Learning, Deep Learning are the buzz words across the globe today. Businesses as well as people are trying to make out if it is hype or not. While there is a hope there is also gloom somewhere, as far as AI is concerned. Lots of work needs to be done to ensure effective and valid deployment of AI solutions. Today’s AI concern is Frameworks and toolsets to manage the entire lifecycle in an integrated way to ensure dependable results is the beckoning need for AI going forward. In this discussion, we will be focussing on some of the important challenges faced with respect to the resources, frameworks, tools and techniques and also the direction AI is trending towards.
  • Neural Networks/Deep Learning to Transform Modern AI Platform
    Neural Networks/Deep Learning to Transform Modern AI Platform
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: Feb 22 2018 64 mins
    AI is changing the way organizations do businesses and how they interact with customers. AI continues to drive the change. Deep Learning and Natural Language Processing will become standards in AI solutions. Deep Learning is based on brain simulations and uses deep neural networks. AlphaGo is the first AI system to defeat a professional human Go player, the first program to defeat a Go world champion, and arguably the strongest Go player in history. Baidu improved speech recognition from 89% to 99% using Deep Learning. Every AI and Machine learning scientist is required to know Deep Learning tools in his / her current job scenario.

    In this session, we will be discussing what is Deep Learning and why it is gaining popularity. We will explain AI solutions using Deep Learning with a practical example. Deep Learning has an edge over other machine learning techniques as with the increased volume of data, performance increases with Deep Learning. Further, Deep Learning enables Hierarchical Feature Learning i.e. learning feature hierarchies.
  • Follow up Q&A: A Guide to Machine Learning Patterns and Data Visualizations
    Follow up Q&A: A Guide to Machine Learning Patterns and Data Visualizations
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: Sep 6 2017 19 mins
    Catch this follow up Q&A from the A Guide to Machine Learning Patterns and Data Visualizations presentation. Umesh answers remaining and follow up questions from the audience.
  • A Guide to Machine Learning Patterns and Data Visualizations
    A Guide to Machine Learning Patterns and Data Visualizations
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: Aug 24 2017 55 mins
    Data visualization must be intuitive in order for non-IT business leaders to see data patterns. Representing data in a graphical or pictorial format is easy, but constructing the data in the best and most logical way can be tricky.

    In this session, Umesh will talk about how to represent data simply to make quicker and better business decisions. He will walk through several data visualization techniques through business cases and examples. By the end of the session, you will not only know different data visualization techniques, but also have an understanding of circumstances under which each technique should be used and the best way to represent particular data sets for different business cases.
  • How to Build Chat-Bots Using Machine Learning and NLP
    How to Build Chat-Bots Using Machine Learning and NLP
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs Recorded: Apr 12 2017 64 mins
    Machine Learning, Artificial Intelligence and Natural Language Processing (NLP) are transforming the technological landscape in a wide range of applications. How Machine Learning frameworks have been applied in the real world continues to evolve and affect our daily lives, especially with chat bots.

    In this session Dr. Hodeghatta Rao will explain the fundamental concepts of Natural Language Processing (NLP), what are the practical applications of NLP, how machine learning is adopted to process the natural language and finally end with an overview of QnA (chat) system.

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