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Showing posts with the label Technical Questions

What is Chat GPT - The Next-Generation AI? [Simply Explained]

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Chat GPT(Generative Pre-trained Transformer) Is Google under threat? Have you heard the recent rumors that Google search might soon become obsolete? Let's try to find out why it is the talk of the town. Let's see what Chat GPT has to say about this. Image Source - https://www.anaconda.com/blog/the-abilities-and-limitations-of-chatgpt   What is Chat GPT? Open AI has launched an interactive chatbot known as Chat GPT which can provide answers to complex questions in the way a human does. What sets it apart from other chatbots is the ability to understand human intent in a question and then respond accordingly.  The service of Chat GPT is free and might be monetized later. Interestingly, ChatGPT has crossed 1 Million sign-ups in less than a week’s time and has the potential to disrupt Google search and make a host of jobs obsolete. The service of Chat GPT is free and might be monetized later. How can Chat GPT be monetized? Paid API: Open AI can offer paid API to companies who wish

Module 5 - Machine Learning for Product Managers

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  Machine Learning for Product Managers — Module 5 Machine learning modelling, Parametric and Non-Parametric Machine Learning Algorithms, the complexity of the model, bias-variance tradeoff, and performance of the linear regression model. Subscribe to our Youtube Channel to watch the video —  Technomanagers Module 5— Machine Learning Model Development In this module, we will learn the following topic What does it mean by Machine learning modelling? How to do an evaluation of Machine Learning Models Parametric and Non-Parametric Machine Learning Algorithms Linear Regression What’s the difference between simple linear regression and multiple linear regression? How does the complexity of the model affect the error of the machine learning model? What is the bias-variance tradeoff? How will you evaluate the performance of the linear regression model?

Module 4 - Machine Learning for Product Managers

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Machine Learning for Product Managers — [4/6] We have started an online course to educate Product Managers/ Business Managers about Machine learning. Subscribe to our Youtube Channel —  Technomanagers What will you learn in this course? In this course, we will tell you how to turn the business need into a machine learning problem, and then make a prototype out of it. If that performs well then how to deploy and productionise it. This course is divided into 6 modules. In the first module, we will see, see the introduction to machine learning In the second module, we will see when to say yes or no to machine learning. Machine learning is very mainstream nowadays so it is very important for a manager to know when to say yes and when to say no. In the third module, we will see how to use machine learning weapons. In the fourth module, we will see how to prepare the training data for machine learning, that’s the first step in developing any machine learning model. From there we will move on

Module 3 - Machine Learning for Product Managers

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  Module 3— How to use ML as a weapon (Watch Video) In this module, we will learn the following topic What does the machine learning project lifecycle look like? How to organize your team and project for success? What are some roles and Responsibilities of the Machine learning project team? Subscribe to our Youtube Channel —  Technomanagers What will you learn in this course? In this course, we will tell you how to turn the business need into a machine learning problem, and then make a prototype out of it. If that performs well then how to deploy and productionise it. This course is divided into 6 modules. In the first module, we will see, see the introduction to machine learning In the second module, we will see when to say yes or no to machine learning. Machine learning is very mainstream nowadays so it is very important for a manager to know when to say yes and when to say no. In the third module, we will see how to use machine learning weapons. In the fourth module, we will see how