How to Use Machine Learning to Show Predictions in Augmented Reality – Part 3
Part 2 Recap This tutorial is part of a multi-part series. In Part 1, we loaded our data from a .csv file and used Linear Regression in order to predict
Elisa Romondia is a highly accomplished Data Analyst and Blockchain Developer, recognized as one of the top 60 Forbes-listed professionals worldwide. She holds an MSc in Psychology and has several years of experience in Unity and AR/VR Development. Elisa is known for her groundbreaking work, including developing the first ARKit app released in Italy and becoming the first woman to win an official Italian national hackathon.
As a Blockchain Architect and Data Scientist, Elisa is an expert in designing and implementing blockchain solutions and data infrastructures for businesses and organizations. She is the founder and maintainer of Devoleum, an international awarded Blockchain and AI solution for the food supply chain. Devoleum is an open-source project that notarizes supply chains using Ethereum Blockchain, ensuring transparency and privacy.
Elisa's expertise lies in designing and implementing blockchain solutions for supply chain management and traceability, NFT, and DeFi protocols governed by DAO. She specializes in ensuring the security of cryptographic and smart contract implementations, employing a data science approach and smart contract audit methods to analyze decentralized applications.
With a strong background in data science, Elisa has extensive experience in training teams and organizations on implementing and maintaining blockchain architectures. She is well-versed in coding languages such as Solidity, Go, Python, and Rust. Elisa's proficiency in AI models and blockchain technologies enables her to deliver innovative solutions and facilitate the implementation of AI models.
In addition to her technical expertise, Elisa is a skilled trainer and mentor. She has worked as a Data Scientist and Blockchain Architect Freelancer, providing workshops and webinars in the field of Data Science, Machine Learning, Artificial Intelligence, and Big Data. Elisa is also a Udacity mentor for Data Science Nanodegrees, guiding students in Python, NumPy, Machine Learning, Tableau, and other related concepts.
Elisa's exceptional contributions and achievements in the field of blockchain development have garnered recognition, including being featured in Forbes' "60 Women-Led Startups That Are Shaking Up Tech Across The Globe" list. She is also a recipient of the InspiringFifty Italy 2018 award, recognizing her as one of the top 50 women in STEM.
Skills: PyTorch, Non-Fungible Tokens (NFTs), Data Science, Artificial Intelligence (AI), Blockchain, Solidity, Ethereum
Part 2 Recap This tutorial is part of a multi-part series. In Part 1, we loaded our data from a .csv file and used Linear Regression in order to predict
Part 1 Recap This tutorial is part of a multi-part series: in Part 1, we loaded our data from a .csv file and used Linear Regression in order to predict
Introduction In this tutorial series, you’ll learn how to develop a project that integrates Machine Learning algorithms for predictions and Augmented Reality for data visualization. For this project we will