Get ready for exciting insights and best practices about Machine Learning - the probably most interesting field of tech. From AI over deep learning to computer vision and even using the cloud to be even more productive - we have curated some of the most recent topics for you to become an ML Pro! Interested? Then get yourself comfortable and join us at the Machine Learning Day!
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Save Your SpotTogether with BOSCH we invite you to a full day of learning more about the intersection of mobility and code. Get to know more about how modern mobility is defined by an intricate interplay of hardware and software and how cars are not only connected to the road, but also to the cloud.
Coding the Future of Mobility features a variety of talks and a workshop, that give you valuable insights into the world of mobility - wether you join in-person or online.
Together with Bosch we invite you to a full day of learning more about the intersection of mobility and code. Get to know more about how modern mobility is defined by an intricate interplay of hardware and software and how cars are not only connected to the road, but also to the cloud.
Coding the Future of Mobility features a variety of talks and a workshop, that give you valuable insights into the world of mobility - wether you join in-person or online.
=> The Code Conundrum:We’ll delve into the heart of development—the code itself. Explore how AI is reshaping the very fabric of coding and augmenting human creativity.
=> AI: Friend or Foe for Developers? We’ll dive into the burning question: Will AI take developers’ jobs?Explore real-world scenarios where AI automates coding tasks and the potential impact on traditional developer roles.
=> Beneficiaries of the AI Boom:Discover who is currently reaping the rewards of AI integration:
=> Jumping on the AI Bandwagon:Practical steps for developers to thrive in the AI era.
=> Navigating the Singularity - The Future of Developer Careers:We’ll discuss strategies to stay relevant, adapt, and remain indispensable:- Continuous Learning: Cultivate a growth mindset.
- Hybrid Roles: Blend coding skills with domain expertise.
- Domain Expertise: Blend coding skills with industry knowledge.
- AI Literacy: Understand AI concepts even if you’re not a data scientist.
Anna Fritsch-Weninger (Microsoft MVP since 2022) studied Computer Science and English and has been working in the IT sector since 2006. Throughout these years, she worked in different industries and IT roles within diverse technological contexts, with a general passion for Unix and Python as well as IT education. In the last couple of years, she has been focusing exclusively on Cloud technologies, i.e. Microsoft 365 adoption and automation. She currently works as Cloud Solution Expert and Cloud Developer, with a particular interest in PowerAutomate, PowerShell, MS Graph API and SharePoint API.
In order to start out with machine learning you typically would need to learn Python, Tensorflow, Jupyter Notebook, etc. But what if you could run your machine learning straight in the browser? This can be done through Tensorflow.js. In this session, you will get an introduction so that you can use it in your own projects. This session will give you an introduction to what Machine learning is and what types of problems you can solve. TensorFlow as a library will be introduced and then TensorFlow.js will be presented with a focus on how you can use a machine learning model in your JavaScript application. Next, we will build an image classification web app that uses a predefined TensorFlow model. Finally, some examples of how TensorFlow.js is used in commercial applications will be given.
Håkan is Chairman of the Norwegian .NET User Group Oslo (NNUG) and is active as an Ambassador for Oslo AI, the local chapter for the global City.AI community. In addition, he is the co-founder of AI42, an online school for learning about AI and Data Science and the Azure User Group Sweden, a meetup focused on Azure. Håkan is a Microsoft Most Valuable Professional (MVP) in AI and a Microsoft Certified Trainer. Currently Håkan is working as AI Specialist at Miles AS, a Norwegian consultancy company.
During this session, we will gain hands-on insights on building a multilingual NLP pipeline from the ground up, seamlessly integrated into web applications. We will explore the intricacies of setting up the infrastructure on Google Cloud Platform (GCP) and delve into the nuances of NLP model localization. We will also uncover the secrets of dialect resolution and effective slang processing, ensuring your applications are finely tuned for diverse linguistic contexts. The main question that we will answer during the talk is how to choose both an efficient and cost-friendly approach for your ML projects!
Hi there!👋 My name is Kateryna Hrytsaienko, I'm Software Engineering Consultant at Valtech, Google Developer Student Club Menor, Google Woman Techmakers Ambassador, passionate Cloud and CI/CD Automation Enthusiast.I mostly work with E-commerce projects, developing composable solutions and contributing to libraries for company-wide use. I summarize my experience in my blog, where I also share leadership tips and tricks for novice GDSC leaders.