Data Folks Indonesia
463 subscribers
22 photos
252 links
Membahas konsep, aplikasi, paper, event, tutorial dan artikel seputar data science dan data engineering
Download Telegram
Review: FPN — Feature Pyramid Network (Object Detection)
https://s.id/5ma5Z

subscribe @datafolks
Introducing the Uber Research Publications Site
https://ubr.to/2XlycvM

subscribe @datafolks
Northeastern SMILE Lab - Recognizing Faces in the Wild
http://bit.ly/2MUGOFA

subscribe @datafolks
XLNet: Generalized Autoregressive Pretraining for Language Understanding
https://arxiv.org/abs/1906.08237

subscribe @datafolks
Deep Dive into Catboost Functionalities for Model Interpretation
http://bit.ly/2xeMbox

subscribe @datafolks
Open-sourcing PyRobot to accelerate AI robotics research
http://bit.ly/2Yfc97c

subscribe @datafolks
Advanced R - Online Book
http://bit.ly/2X33Mdl

Data Science at the Command Line - Online Book
http://bit.ly/2YfCKAZ

subscribe @datafolks
18 Impressive Applications of Generative Adversarial Networks (GANs)
http://bit.ly/2KCN0A9

LSTM: How to Train Neural Networks to Write like Lovecraft
http://bit.ly/2FCv5Fw

subscribe @datafolks
GauGAN Turns Doodles into Stunning, Photorealistic Landscapes
http://bit.ly/2xlQNJx

subscribe @datafolks
Analyze Jira Issues using BigQuery and Data Studio
http://bit.ly/2Ym7Bfj

author: Rendy B. Junior
subscribe @datafolks for more!
Will Google eventually switch from Tensorflow to Pytorch
bit.ly/2xrJtvV

subscribe @datafolks for more!
DLRM: An advanced, open source deep learning recommendation model
http://bit.ly/2XowQ4n

subscribe @datafolks
Building Smarter AI Through Human-Machine Collaboration - Meetup
http://bit.ly/2KY5s6r

subscribe @datafolks
DISKUSI MACHINE LEARNING -- PACMANN AI

LEARNING = REPRESENTATION + EVALUATION + OPTIMIZATION, Domingos (2012). Machine Learning bertujuan membuat fungsi yang dapat merepresentasikan data. Namun, representasi data saja tidaklah cukup untuk menyelesaikan masalah-masalah modeling. Supervisi yang tepat membuat model memfokuskan optimisasi sesuai dengan metrics dari masalah yang diselesaikan. Diskusi ini akan membahas secara umum pembentukan representasi dan optimisasi Machine Learning. Sebagai contoh, pembentukan model Metrics Learning dalam Recommender System dan face recognition. Mari datang dan belajar bersama-sama.

Diskusi ini gratis, tidak dipungut biaya.
Registrasi: bit.ly/all_ml_tasks