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How to Build Chat-Bots Using Machine Learning and NLP

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.
Recorded Apr 12 2017 64 mins
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Presented by
Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
Presentation preview: How to Build Chat-Bots Using Machine Learning and NLP

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  • Bias in AI and Machine Learning Models Dec 16 2020 4:00 pm UTC 60 mins
    Dr. Umesh Rao. Hodeghatta, Chief Data Scientist, N-U Sigma Analytics Lab
    AI systems and algorithms are trained and modeled and validated by humans on the data generated by humans or sensors or other automated systems. This poses challenge and risk of introducing human bias into the models, though many of us assume the AI systems are unbiased. As we are marching towards 2021 and making significant progress towards more sophisticated algorithms and models, we should also consider reducing bias in AI. Without managing bias, any AI initiative may fall apart due to the lack of trust and confidence by CEOs and leadership. In this session, we will be discussing some of the ethical and trust issues of AI systems due to AI Bias, and how organizations can model and validate AI systems and algorithms to reduce AI Bias.
  • AI in Healthcare Recorded: Oct 15 2020 67 mins
    Rangaprasad Sampath and Umesha Nayak & Umesh Rao Hodeghatta
    Artificial Intelligence is transforming every industry around the world, including the healthcare. Healthcare has abundance of data including patients who visit to the clinic, prescriptions, lab tests, radiology, medical procedures performed, etc. In this session, Mr. Rangaprasad Sampath, will provide insights on how AI and Deep Learning technologies can be applied to solve some of the challenges of healthcare industry. Also, we will be discussing how safely and ethically apply these technologies for the current and future applications of AI in healthcare.
    Rangaprasad Sampath (Ranga) is an engineer by education and a technologist by training. After graduating from Stanford University, USA with a Masters in Electrical Engineering, he has spent over a decade and a half honing up his skills in Networking Technology i.e. switches and routers, wired and wireless. From that same spirit of a connected world, he created You+AI which is an initiative to connect Humans (You) in various endeavors with Artificial Intelligence (AI). One of the first initiatives of You+AI has been the You+AI Podcast where Ranga speaks with healthcare professionals and the conversation explores where AI may drive the most impact. Season 1 with 15 episodes has listeners across 6 continents---36 countries---297 cities. Stay tuned via youplusai.com for Season 2, starting soon.
    About NUSA:
    Umesha Nayak & Dr. Umesh Hodeghatta, are both innovative and exploring ways to always solve customer problems and challenges. We are practical oriented and focused on delivering effective solutions. We have been delivering effective solutions vide consulting on applying AI and Machine learning to various industries like Retail, Healthcare, Software, Product Development, Information Security, and Human Resources.
    For more details, contact us on umesh@businessanalyticsr.com or +1 408 757 0093
  • AI/ML - Pitfalls and Success Formulae Recorded: Sep 21 2020 57 mins
    Dr. Umesh Rao Hodeghatta and Umesha Nayak
    Today every CEO in the organization wants to leverage the competitive advantage with the help of AI and Machine Learning. However, whether this can be achieved or not is still a question to many senior executives. In this presentation, our goal is to go over the best practices and framework of AI and Machine Learning and share our experience for making every project successful. We will also highlight on the pitfalls to be avoided.
  • "Towards Assisted Cognition" Recorded: Sep 14 2020 60 mins
    Dr. Raman, Adjunct Faculty, NYU Tandon School of Engineering
    Abstract:
    We have achieved significant improvements in Machine Learning along with computing infrastructure. Many varieties of machine learning algorithms have been proposed, implemented and deployed. More often than not, these deployments are unitary learners with a clever refinement, the so called hyper-parameter tuning. While it is definitely a step in the right direction, the strategy is depth first and runs counter to both Ockhams Razor and No Free Lunch (NFL), two fundamental axioms in Machine Learning. Raman and his research students have engineered a system that provides an alignment with both the razor and NFL. In this talk we will introduce NFL and Razor axiomatically and demonstrate a system that remains consistent with NFL and facilitates efficient and effortless analytics without relying on any particular algorithm.
  • Q4 2019 Community Update: Business Intelligence & Analytics Recorded: Nov 13 2019 35 mins
    Erin Junio, Content Manager, BrightTALK & Dr. Umesh Rao Hodeghatta, Chief Data Scientist, NU-Sigma Analytics Labs
    Find out what's trending in BrightTALK's Business Intelligence community and discover the industry developments that are shaping the BI & Analytics space as we approach 2020.

    Featuring industry trends and insights from Dr. Umesh Rao Hodeghatta, Chief Data Scientist at NU-Sigma Analytics Labs.

    Join the BrightTALK Business Intelligence Insights group on LinkedIn!
    http://bit.ly/2PJlPHm
  • Applying Machine Learning in Cyber Security Recorded: Oct 9 2019 59 mins
    Dr. Umesh Rao Hodeghatta, Chief Data Scientist, NU-Sigma Analytics Labs
    With the increasingly connected world revolving around the revolution of internet and new technologies like mobiles, smartphones, and tablets, and with the wide usage of wireless technologies, the information security risks have increased. Both individuals and organizations are under regular attacks for commercial or non-commercial gains. The objectives of such attacks may be to take revenge, malign the reputation of a competitor organization, understand the strategies and sensitive information about the competitor, simply have fun of exploiting the vulnerabilities. Hence, the need to protect information assets and ensure information security receives adequate attention.

    In this session, Dr. Umesh Rao Hodeghatta will discuss:
    - How AI and Machine Learning can be applied in detecting, predicting and preventing cyber security / information security vulnerabilities
    - The benefits of using Machine Learning and AI
    - Tools available to perform the same.
  • Future with AI and Machine Learning Recorded: Feb 13 2019 64 mins
    Dr. Umesh Hodeghatta, Chief Data Scientist and Umesha Navak, CEO, N-U Sigma Analytics Lab
    Artificial Intelligence (AI), Machine Learning, Deep Learning are the buzz words across the globe today. Businesses as well as common 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.

    In this session Dr. Umesh Hodeghatta Rao and Mr. Umesha Nayak will explain how AI and Machine learning algorithms can be applied to some of the day to day activities we do and how it can improve the quality of our lives. The speakers will walk you through some of the real-world examples in healthcare, transportation & automotive, business & commerce and education including those on strategizing the business. They will also talk about the challenges in implementing AI/Machine Learning and circumstances under which AI applications will normally be successful compared to when they are likely to be unsuccessful.
  • Machine Learning Challenges - Data Integration and Transformation Recorded: Aug 29 2018 51 mins
    Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
    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 Recorded: May 17 2018 53 mins
    Dr. Umesh Hodeghatta Rao, CTO, and Umesha Nayak, CEO, Nu-Sigma Analytics Labs
    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 Recorded: Apr 24 2018 3 mins
    Dr. Umesh Hodeghatta CTO, and Umesha Nayak, N-U Sigma U-Square Analytics Lab
    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 Recorded: Feb 22 2018 64 mins
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
    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 Recorded: Sep 6 2017 19 mins
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
    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 Recorded: Aug 24 2017 55 mins
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
    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 Recorded: Apr 12 2017 64 mins
    Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
    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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Umesh Hodeghatta

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  • Presented by: Dr. Umesh Hodeghatta Rao, CTO, Nu-Sigma Analytics Labs
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