Houda Mouttalib
houdaMouttalib
Casablanca, Morocco
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Geek | XR Enthusiast | PhD Candidate | Researcher at LPRI | Google WTM Ambassador since 2017 | Professor
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Exploring New Frontiers: A Deep Dive into AR/VR Innovations from Google I/O
Each year, Google I/O brings forth groundbreaking announcements and updates that redefine the technology landscape. This year, Augmented Reality (AR) and Virtual Reality (VR) have taken the spotlight, promising exciting possibilities that will shape the future of how we interact with digital content.
In this session, we will delve into the latest AR/VR developments announced at this year's Google I/O. We'll unpack the implications these innovations bear for developers, users, and businesses alike, exploring how they have the potential to transform our interaction with technology.
From new ARCore updates to immersive VR experiences, we'll analyze the groundbreaking features and improvements that Google has introduced. The session aims to provide attendees with a comprehensive understanding of these announcements, preparing them to harness the power of AR/VR in their own projects and stay ahead in this rapidly evolving field.
Django the web framework for perfectionists with deadlines
Python is a rich of libraries for data scientists, sometimes we need to use that programing language for web like visualization or showing results and more kind of tasks in your daily job, but you don't have enough time to spend on learning a very complex web framework, the solution is Django.
In one workshop the attendees will be able to create the first web page, connect to the database, manage all the apps in admin side and more if we have enough time.
Data preparation
Before starting the career of Data Engineering or data science, it's so important to be aware of the first step before creating machine learning models, we need to make sure that the quality of data we are using is good enough, otherwise everything will be going wrong even if you are using the best latest technologies ever in the world, in my talk I will explain what you will be spending 60% of your time as a data scientist.
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