# Winson Yeap

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## Flips

# Bayesian A/B Testing with Python: the easy guide

# Encoding time series as images – Analytics Vidhya – Medium

# Animated RNN, LSTM and GRU

# What Kagglers are using for Text Classification

# Supervised Machine Learning: Classification

# Introducing TF-Ranking

# Setting the Promotional Strategy for a Bakery from Data

# Redefining Audience Targeting in the Digital Age with Predictive Analytics

# Topic Modeling with LSA, PLSA, LDA & lda2Vec

# A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning

# Math in Data Science

# Review: Stochastic Depth (Image Classification)

# RetinaNet: how Focal Loss fixes Single-Shot Detection

# Transfer Learning with Convolutional Neural Networks in PyTorch

# Graph Theory — History & Overview

# Clustering Text with Transformed Document Vectors

# Understanding object detection in deep learning

# Building a conversational business intelligence bot with Amazon Lex | Amazon Web Services

# Intro to Data Science for Managers

# Predicting Probability Distributions Using Neural Networks

# YOLO object detection with OpenCV

# Free Reinforcement Learning Textbook

# Efficient Neural Architecture Search (ENAS) in PyTorch

# Deep Learning Performance Cheat Sheet

# 5 Unusual Alternatives to Pie Charts

# What lies beneath? Optimization at the heart of Machine Learning

# Representation Power of Neural Networks

# Decrypting your Machine Learning model using LIME

# My secret sauce to be in top 2% of a kaggle competition