Learning resources

What is Generative AI?

Generative AI refers to a class of artificial intelligence models designed to generate new content, such as text, images, audio, and even video, that is often indistinguishable from human-created content. Why is it “Generative”?The term “generative” comes from the model’s ability to generate new, original content. This is achieved through advanced algorithms and neural network […]

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Blog Series on Gen AI for Executives

Welcome to the series! Following is a series that will address these goals: Executive LearningEnhancing knowledge and skills in Data Science and Gen AI. Appreciating Usage PatternsUnderstanding how these technologies are being applied across different industries. Recognizing RisksIdentifying potential challenges and risks associated with Data Science and Gen AI. Best Practices for AdoptionSharing strategies and

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Develop Web Apps and Deploy ML Models using Streamlit: A Comprehensive Guide

In this comprehensive guide, we will explore the world of web app development and ML model deployment using Streamlit. Whether you are a data scientist, machine learning engineer, or web developer, this blog post is tailored to provide you with a step-by-step approach to building interactive web applications that leverage the power of ML models.

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Experience “no code” ML and AI

Hello! Hope you enjoy this playfully serious session on “no code” We will be using these posts in sequence [1] Experience “no code” ML https://playfullyserious.com/index.php/2023/06/30/experience-no-code-machine-learning/ [2] Experience “no code” ML deployment https://playfullyserious.com/index.php/2023/07/01/no-code-ml-deploying-a-model-and-testing/ [2] Experience “no code” AI https://playfullyserious.com/index.php/2023/07/02/experience-no-code-ai/

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Exploring courses in Data Science

There are many programs available addressing the unique needs of different segments of learners. Typically, these can be studied using the following attributes: ·        Full-time or weekend ·        Delivery modes: Classroom, Online Live, E-learning, Hybrid ·        Focus areas: Data Science, Data Engineering, Industry, Technology ·        Eligibility or Learner profile: Fresh graduates, working professionals, executives ·        Campus placement (Y or N)

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How to select your data science capstone project?

Every course in data science ends with a capstone project which requires learners to apply various concepts covered along the way. This project is also a great addition to their resumes. Obviously, from both learning as well as career prospects angles this is an important step. This post covers three aspects of capstone projects: The

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