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!
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.
Explainable AI (xAI) is a hot topic today. We have seen a boom in AI, because deep learning methods made a huge difference in many cases. There are also many more use cases of AI compared to times before Deep Learning was introduced. The problem that we face now is that many methods work and we believe that whatever is done under the hoods, we don’t elaborate about the details. The reality is that it's very important to understand the way the prediction is done and not only understand the architecture of the method. There are many scenarios where xAI is very useful. During the talk we explain the xAI methods with a focus on medtech, fintech cases
Obtained a PhD degree in Computer Science in 2015 at the Jagiellonian University in Cracow. CTO and founder of Codete. Leading and mentoring teams at Codete. Working with Fortune 500 companies on data science projects. Built a research lab for machine learning methods and big data solutions at Codete. Gives speeches and trainings in data science with a focus on applied machine learning in German, Polish, and English. Used to be an O’Reilly trainer.
WebAssembly (Wasm) is a binary instruction format for a stack-based virtual machine. Wasm enables developers to use existing code libraries (e.g. C/C++, Rust) as part of their application development process. Wasm is not just for the web and today moves in exciting new directions. One primary use-case would be to run a Machine Learning algorithm directly in a database system on the data already stored in the database system -- an example of co-locating analytics with data. Attendees will learn how we can use an ML classifier and then port the code to a Wasm module. No prior knowledge or experience of Wasm is required. Wasm standards are being developed by the W3C and actively promoted through non-profit organisations such as the Bytecode Alliance.
Akmal helps build global developer communities and raise awareness of technology through presentations and technical writing. He has previously held roles as a developer, consultant, product strategist, evangelist, technical writer and technical trainer with several Blue Chip companies and Big Data startups. He has published widely and edited or co-edited ten books. He holds a BSc (1st Class Hons.) in Computing and Information Systems, MSc in Business Systems Analysis and Design and a PhD in Computer Science. He is a Member of the British Computer Society and a Chartered IT Professional.
Dialogflow CX is the new product launched by Google for creating bots. In this talk, I will show you how it works and what you need to develop your bots with this cutting-edge technology! We will review how the AI works with this technology, the Natural Language Understanding, and everything related to the bot backend using Google Serverless. Be ready for the next-gen Cloud Conversational AI from Google! We will talk about ChatGPT, GPT-4, Large Language Models, and prompt chaining techniques as well.
Xavier was born in Valencia, but currently living in Madrid. He has over 7 years of experience. He focuses on Cloud, Kubernetes, DevOps, Q&A, microservices, and Conversational AI. He is an organizer of DevopsDays Madrid and the Alexa community in Spanish. In his spare time, he enjoys music, beer, and friends. Author of the book "The Alexa Revolution". He has been recognized as a GitHub Star, Alexa Champion, Google Developer Group Leader, Ambassador Labs Advocate, AWS Community Builder, and Azure Content Hero.
This will focus on applications of algorithms for commonly seen retail ads, targeted campaigns with a deep dive on audience segmentation with k-means algorithm. Lifetime Value Prediction, Audience Segmentation and other algorithms are often used in Retail brick and mortar shops as well as e-commerce. We will understand the commonly used ML algorithms and the theory behind clustering algorithms, when to use them too. Further we will go through best practices for implementing such ML algos in scale in real world scenarios. We will also discuss what different roles exist in the data science field.
7 years of experience in SaaS B2B Products based on Statistics and Machine learning. Worked in Google Cloud in the Platform Data Science and Data Analytics advocacy team to build an internal product. Before Google, worked in 2 startups(one of them became a unicorn) in the Retail and Healthcare domains.
Data can be powerful, meaningful, AND fun. Making data-driven decisions can level up your family vacation from awful to awesome. In this session, attendees will walk through a specific example showing how to analyze various data sources to avoid crowds, save money, and piece together a Disney World vacation that's more enjoyable for everyone. Then, they will learn through this fun example how they can follow a repeatable framework to apply data science to many different problem sets, and effectively communicate the results to non-technical users.
Becky Gandillon is the Practice Lead for Data & Analytics for Centric Consulting in St. Louis, and she specializes in data storytelling, data strategy and visualization. She is a big Disney nerd that spends some of her free time analyzing and predicting crowd patterns at Disney World. She and her husband love travelling with their two daughters, and typically have three or four vacations planned in advance at any time.