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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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
Blog Series on Gen AI for Executives Read More »
Overview In this lab, you will use Azure Machine Learning to train, evaluate, and publish a Machine Learning model. This lab intends to be a gentle, guided introduction to core ML concepts. After completing this lab, you will have enough familiarity with the platform and basic ML concepts to continue exploring on your own. I
Experience “No Code” Machine Learning – Classification Read More »
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.
Develop Web Apps and Deploy ML Models using Streamlit: A Comprehensive Guide Read More »
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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Overview In this lab, you will use Flowise AI which is built on langchain to create some applications. This lab intends to be a gentle, guided introduction to the possibilities presented by AI. After completing this lab, you will have enough familiarity with the tools used and basic concepts to continue exploring on your own. I plan
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This is part II of the lab using Azure ML Studio. The first part is in this link. Open the California House Price Prediction experiment. Click “Run”, then click “Set up as a web service”, then click “Predictive Web Service (Recommended)”, then click Run the Predictive Web Service Experiment Drag and drop the “Select Columns
No Code ML: Deploying a model on Azure ML Studio Read More »
Overview In this lab, you will use Azure Machine Learning to train, evaluate, and publish a Machine Learning model. This lab intends to be a gentle, guided introduction to core ML concepts. After completing this lab, you will have enough familiarity with the platform and basic ML concepts to continue exploring on your own. I
Experience “No Code” Machine Learning – Regression Read More »
In this post, the following questions are covered. Let me know if there are other aspects that you wish to see included. What is multicollinearity? Pearson Linear Correlation Coefficient measures the strength of linearity in relationship between two numeric variables. If we extend this to involve multiple variables we are referring to multicollinearity. How does
Understanding multicollinearity Read More »
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)
Exploring courses in Data Science Read More »