Logo video2dn
  • Сохранить видео с ютуба
  • Категории
    • Музыка
    • Кино и Анимация
    • Автомобили
    • Животные
    • Спорт
    • Путешествия
    • Игры
    • Люди и Блоги
    • Юмор
    • Развлечения
    • Новости и Политика
    • Howto и Стиль
    • Diy своими руками
    • Образование
    • Наука и Технологии
    • Некоммерческие Организации
  • О сайте

Скачать или смотреть Beyond Feature Engineering and HPO | by Jean-François Puget | Kaggle Days Paris

  • Kaggle
  • 2019-05-16
  • 12434
Beyond Feature Engineering and HPO | by Jean-François Puget | Kaggle Days Paris
KaggleKaggellive-codinglivelearnapiclipythondatadata scienceinterviewquestionstransfer learningcodingnetworksprogrammingtechnologytechmachine learningAIartificial intelligencecodersprogrammershelptutorialprojects101rstatsstatsstatisticswhat is kagglehow togithubdeveloperkernelsdatasetsdata visualizationdeep learningsqlchallengecompetitionwhitehatcodelessonCSkaggle days
  • ok logo

Скачать Beyond Feature Engineering and HPO | by Jean-François Puget | Kaggle Days Paris бесплатно в качестве 4к (2к / 1080p)

У нас вы можете скачать бесплатно Beyond Feature Engineering and HPO | by Jean-François Puget | Kaggle Days Paris или посмотреть видео с ютуба в максимальном доступном качестве.

Для скачивания выберите вариант из формы ниже:

  • Информация по загрузке:

Cкачать музыку Beyond Feature Engineering and HPO | by Jean-François Puget | Kaggle Days Paris бесплатно в формате MP3:

Если иконки загрузки не отобразились, ПОЖАЛУЙСТА, НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если у вас возникли трудности с загрузкой, пожалуйста, свяжитесь с нами по контактам, указанным в нижней части страницы.
Спасибо за использование сервиса video2dn.com

Описание к видео Beyond Feature Engineering and HPO | by Jean-François Puget | Kaggle Days Paris

Jean-François Puget
"Beyond feature engineering and HPO"

Kaggle Days Paris held in January 2019 gathered over 200 participants to meet, learn and code with Kaggle Grandmasters, and compete in our traditional offline competition.

This edition is presented by LogicAI in partnership with Kaggle and sponsored by LVMH, Christian Dior, Sephora, and Louis Vuitton.

Kaggle Days are a global series of offline events for seasoned data scientists and Kagglers created by LogicAI and Kaggle.

About the presenter:
Jean-François is Kaggle Competitions Grandmaster, and top Kaggle Discussion Grandmaster CPMP. He is currently the technical lead for IBM Watson Machine Learning offerings. He is an alumni of Ecole Normale Supérieure rue d'Ulm, Paris. He holds a PhD in machine learning from Paris IX University and has spent his entire career turning scientific ideas into innovative software. He has published over 80 scientific papers in refereed journals and top AI conferences. Jean-Francois joined IBM as part of the ILOG acquisition and since then has held various technical executive positions, including CTO for IBM Analytics Solutions.

About LogicAI:
LogicAI as a creator of Kaggle Days is a sole partner of Kaggle to build global offline community.
LogicAI is a boutique Data Science consultancy company owned by Kaggle fans and Grandmasters. As a global company, they do custom end-to-end AI and Data Science development projects as well as trainings for C-level management and tech teams.
Want help with your AI projects or want to work with LogicAI to create AI strategies? Simply apply at logicai.io!

Follow LogicAI online:
Visit the WEBSITE: https://logicai.io/
Like LogicAI on FACEBOOK:   / logicai-147154915962100  
Check out our BLOG: https://logicai.io/blog/
Connect with us on LINKEDIN:   / logicai  



Follow Kaggle Days online:
Visit the WEBSITE: https://kaggledays.com/
Like Kaggle Days on FACEBOOK:   / kaggledays  
Follow Kaggle Days on TWITTER:   / kaggle_days  
Connect with Kaggle Days on LINKEDIN:   / kaggle-days  


About the presenter:
Jean-Francois Puget (IBM, #43 on Kaggle) shared his tricks for feature engineering and hyperparameter optimization. This included general tips and an overview of more competition-specific ideas from Kaggle. The main objective was to use feature engineering as possible (even if you fail at times), including using deep learning to generate new features and to avoid ensembling too early in the competition.

SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_...

About Kaggle:
Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help.

Follow Kaggle online:
Visit the WEBSITE: http://www.kaggle.com/?utm_medium=you...
Like Kaggle on FACEBOOK: http://www.facebook.com/kaggle?utm_me...
Follow Kaggle on TWITTER: http://twitter.com/kaggle?utm_medium=...
Check out our BLOG: http://blog.kaggle.com/?utm_medium=yo...
Connect with us on LINKEDIN: http://www.linkedin.com/company/kaggl...

Advance your data science skills:
Take our free online courses: http://www.kaggle.com/learn/overview?...
Get started with Kaggle Kernels: http://www.kaggle.com/docs/kernels?ut...
Download clean datasets from Kaggle: http://www.kaggle.com/docs/datasets?u...
Sign up for a Kaggle Competition: http://www.kaggle.com/docs/competitio...
Explore the Kaggle Public API: http://www.kaggle.com/docs/api?utm_me...

Kaggle
   / kaggle  

Комментарии

Информация по комментариям в разработке

Похожие видео

  • О нас
  • Контакты
  • Отказ от ответственности - Disclaimer
  • Условия использования сайта - TOS
  • Политика конфиденциальности

video2dn Copyright © 2023 - 2025

Контакты для правообладателей [email protected]