Data Science fwdays'21 conference
2021-04-19..2021-04-24
-- online --
| title | author | length |
|---|---|---|
| Spark: from interactivity to production and back | Yurii Ostapchuk | 53m |
Відео з онлайн-конференції Data Science fwdays'21, яка пройшла 24 квітня 2021 року.
Опис доповіді:
Перехід від експерименту до розгорнутого прототипу якомога… | ||
| NLP Discussion | Vitaliy Radchenko, Halyna Oliinyk, Vsevolod Domkin | 01h 25m |
A panel discussion on NLP featuring representatives from Projector, 1touch.io, and Scorum AI covers what it takes to become an NLP specialist, using NLP to… | ||
| You Don't Know What "dropout" Is: Churn-Creating Cutting-Edge Tech | Aleksey Chaplygin | 37m |
A Reface team member examines why many practitioners use techniques like dropout without understanding them and argues that breakthrough ML requires deep grasp… | ||
| Media AI Photo Studio | Mikola Mikhaylich | 37m |
Відео з онлайн-конференції Data Science fwdays'21, яка пройшла 24 квітня 2021 року.
Опис доповіді:
У цій доповіді ми розглянемо інструменти обробки зображень… | ||
| DALL·E and CLIP from OpenAI: a new era in machine learning | Mikhail Konstantinov | 42m |
The talk reviews OpenAI's CLIP and DALL·E work from 2021: CLIP's approach to zero-shot image classification that learns from natural language rather than… | ||
| 6 Tips to Avoid Pitfalls in Data Annotation | Karyna Naminas | 34m |
The talk examines common pitfalls in data annotation for machine learning projects and gives six practical recommendations to avoid them. It covers issues like… | ||
| Using Data Science in Pricing | Vladimir Andrienko | 41m |
Uklon describes using an ensemble of machine learning models to set ride prices that balance supply and demand in real time across locations. The approach… | ||
| A Separate ML Model for Every User | Siamion Karasik | 40m |
Examines building a separate ML model per user using the Exadel ML1 Jira plugin, detailing the technical and machine-learning challenges of training and… | ||
| Artificial Intelligence That Removes Language Barriers | Taras Sereda | 42m |
Vocalics AI presents neural speech synthesis algorithms for natural, expressive cross‑language dubbing and voice conversion so viewers can hear actors or… | ||
| nothing matches | ||