What we're about

"Learn by Practice". Join us to learn and practice AI, Machine learning, Deep learning and Data Science technology together with like-minded developers.

Our goal is to congregate with AI enthusiasts from all over Berlin to learn and practice AI tech, through tech talks, study jams, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Cloud, Data, Blockchain.

If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us.

Thank you

Kelvin, Community Manager

===Tentative Agenda =====

5:30pm - 5:50pm, Snack & social
5:50pm - 6:00pm, Intro/announcement
6:00pm - 7:00pm, Tech Talk 1 and Q&A
7:00pm - 8:00pm, Tech Talk 2 and Q&A
8:00pm - 8:30pm, Mingle

**Learn applied AI tech online with 80000+ developers globally, via webinars, live online courses, bootcamps: https://learn.xnextcon.com
** AI Developer Conference (Seattle, San Francisco, New York, Beijing) : http://www.xnextcon.com

Upcoming events (4)

Google AI Tech Talk: Building real time cross platform video audio ML pipelines

Join us this Google AI tech talk event: Topic: MediaPipe: Building real time cross platform video audio ML pipelines Abstract: Video, audio (multimodal) mobile and edge use cases that utilize machine learning models (eg Tiktok, Shazam, Google Home Hub) are becoming more common. However, creating these multimodal ML applications are challenging as developers need to deal with real time synchronization of time series data during model inference and doing it cross platform on mobile and edge devices. Google open sourced in Jun 2019, MediaPipe (https://mediapipe.dev), a cross platform applied machine learning pipeline framework that simplifies the development process. My talk will be introducing open source MediaPipe framework, walking through mobile and edge (EdgeTPU coral) demos and getting developers started on building multimodal ML applications https://mediapipe.page.link/handgoogleaiblog Speaker: Ming Yong is a Product manager in Google Research Perception Research leading open source efforts in computer vision. In Google, he was previously product manager in Google Search and product lead for mobile video ad formats. Before Google, Ming was cofounder Socialwok, an enterprise collaboration service for Google Apps (Finalist of the Techcrunch Disrupt 2011) and Voiceroute, a startup focused on open source VOIP telephony services for small medium enterprises. Direction: The meeting room is Kreuzberger Naechte on the 1st floor.

(paid) online AI course: Deep Learning for developers

We are starting the new session for the popular 4-week AI course: Deep Learning for Developers. This course is online live course. You can listen, watch, interact, Q&A with instructors from anywhere around the world. Miss the live session due to time zone or conflict? learn session replay at any time afterwards. Start date: Jan. 7, 10am PT (US pacific time, check your local time zone). * 8 sessions, 16 hours * 10 live lectures, 16 hands-on code labs. * Live Sessions, Real time interaction * Forum supports to projects and homeworks Enrollment: https://learn.xnextcon.com/course/coursedetails/C20010710 Details: learn deep learning by building deep learning models and projects. The course takes unique project focused approach to teach you deep learning by building deep learning models. The instructor will walk you through a series of curated projects, and explain the key concepts as they arise. Students will learn the theory and how these models work under the hood while writing code, and building neural networks. The course balances learning theory, working on projects, and also hearing from guest speakers who are industry practitioners in the field. Students who take this course will be able to: * Identify and frame problems that can be solved by deep learning * Choose the right techniques to the problems * Understand key deep learning concepts and how deep learning models work * Identify and fix problems with messy datasets * Build deep neural nets for classification and regression using the Keras framework * Build convolutional neural networks for image classification, object localization and segmentation using the Keras * Discuss the parts and processes involved in building large scale deep learning applications Online AI tech talks, courses, bootcamps : https://learn.xnextcon.com

(paid) online AI course:Practical Machine Learning in Python

We are starting a new course to learn machine learning by building projects with python. This course is online live course, 3 weeks, 2 sessions/week. You can listen, watch, interact, Q&A with instructors from anywhere around the world. Miss the live session due to time zone or conflict? learn session replay any time afterwards. Course Name: Practical Machine Learning in Python Start date: Jan. 15, 2:30pm PT (US pacific time, check your local time zone). * 6 sessions, 12 hours * 6 live lectures, 6 hands-on code labs. * Live Sessions, Real time interaction * Forum supports to projects and homework enrollment: https://learn.xnextcon.com/course/coursedetails/C20011514 Details: In this course you will learn the fundamentals of Machine Learning primarily through a series of hands on exercises guided by the instructor. Students will learn about the foundational underpinnings of machine learning as well as how to put that knowledge to the test with practical exercises. The course takes unique project focused approach to teach you machine learning by building machine learning models. The instructor will walk you through a series of curated projects, and explain the key concepts as they arise. Students will learn the theory and how these models work under the hood while writing code. Students who take this course will be able to: * Identify and frame problems that can be solved by machine learning * Choose the right techniques to the problems * Understand key machine learning concepts and how algorithms / models work * Identify and fix problems with messy datasets * Build and training various models with sklearn * Troubleshoot and improve models * Discuss the parts and processes involved in building large scale machine learning applications Online AI tech talks, courses, bootcamps : https://learn.xnextcon.com

AI NEXTCon Developers Conference 2020 - Seattle

AI NEXTCon Developers Conference Seattle 2020, 2/12-15 * Discounted ticket (40% off) sales ends on 12/13, 2019. * Register: http://aisea20.xnextcon.com Join us the 10th AI NEXTCon, the leading AI developers conference hosted around the world (Seattle, New York, San Francisco, London, Beijing). AI NEXTCon is an AI developer-driven technology event specially geared to engineers, developers, data scientists to share, learn, and practice AI technology and how apply AI, ML, DL, Data to solve engineering problems, and machine learning production lifecycle. it brings together top technical engineers, practitioners, influential technologists and data scientists to share solutions and practical experiences in computer vision, speech, NLP, machine learning, deep learning, machine learning in prod, data science/analytics The conference features a blend of inspirational keynotes, deep dive tech talks, hands-on workshops, immersive trainings, and networking opportunity with like minded colleagues. it's 4 days conference with 60+ tech speakers/tech talk sessions, 60+ tech talks. Speakers are mainly from engineering teams from Microsoft Amazon Uber Airbnb Pinterest Google Facebook Twitter LinkedIn, Nvidia, Intel, etc... AI NEXTCon is one of premium tech events specially geared to tech engineers, developers, data scientists, and machine learning engineers, has attracted more than 500 tech lead speakers, 10000+ tech engineers attending and more than 30 sponsors (like Microsoft, Amazon, Uber, Oracle, eBay, OfferUp, Google, IBM, AI2, Zillow, Alibaba, Huawei, DiDi, LinkedIn, OmniSci, alwaysAI, Test.AI, Expedia, and more). Official website: http://aisea20.xnextcon.com Date: * Main Conference: Feb. 12~13 * Hands-on Workshop: Feb. 14~15 * Deep learning training: Feb. 15~16 Topics: * Computer Vision * NLP * Machine Learning and ML lifecycle *Deep Learning and tools * AutoML * AI in Fintech and AI in Healthcare * Women in AI Discount: * Group discount available (5+: 10% off; 10+: 15% off). contact us for discount code. "NEXTCon share program": help to share and promote AI NEXTCon, you can get more discount, free ticket and/or earn extra cash, contact us for details. Contact: [masked]

Past events (45)

Photos (19)