Building Smarter AI Through Human-Machine Collaboration - Meetup
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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.
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A Paper List of Deep learning for Graph
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QnA Model: Learning to Answer the Whole Question
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Data Science Learning Path
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Author: @andreas_chandra
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New fast.ai course: A Code-First Introduction to Natural Language Processing
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A curated list of NLP papers - nlp-library
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ICML 2019 Videos
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Indonesian App Review — Sentiment Analysis using Neural Network and PyTorch
Author: @andreas_chandra
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Recommendation System Dengan Python : Definisi (Part 1)
Author: @zheaven07
http://bit.ly/2YOKMRN

Now, you can also submit your article to Data Folks Indonesia Publication on Medium. More information? poke the editor @andreas_chandra

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Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker
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Multilingual Universal Sentence Encoder for Semantic Retrieval
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Advancing Semi-supervised Learning with Unsupervised Data Augmentation
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Data Science at the Command Line - Free Online Book
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Gaussian Processes for Machine Learning: Contents - Free Online Book
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1,000,000 Robotaxis by 2020? Most agree: not happening
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Pytorch-Transformers
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Mathematics for Machine Learning
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Introduction to Ensembling/Stacking in Python
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Comprehensive data exploration with Python
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Teaching AI systems to learn language from letters, not words
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The Past, Present, and Future of AI Art
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Introducing long-form question answering
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A 2019 Guide to Object Detection - Heartbeat
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Why random forests outperform decision trees - Towards Data Science
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Google AI Blog: Robust Neural Machine Translation
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