Tagged | math

• Interpreting A/B test results: false positives and statistical significance

  (netflixtechblog.com)

  #analytics #math #statistics

• HE-MAN: The Homomorphic Encryption Mechanism for Approximating Noise

  (galois.com)

  #research #math #cryptography #cs-theory

• DuaLip: Solving extreme-scale linear programs for web applications

  (engineering.linkedin.com)

  #algorithms #optimisation #math

• Gimme a robust estimator - and make it a double!

  (multithreaded.stitchfix.com)

  #analytics #math #statistics

• How Airbnb Measures Future Value to Standardize Tradeoffs

  (medium.com)

  #data-pipeline #analytics #math #statistics

• Algo Hour - Step sizes for SGD: Adaptivity and Convergence | Xiaoyu Li

  (multithreaded.stitchfix.com)

  #machine-learning #algorithms #math #statistics

• Using Physics-Informed Deep Learning for Transport in Porous Media

  (developer.nvidia.com)

  #machine-learning #GPU #math

• Similarity in Graphs: Jaccard Versus the Overlap Coefficient

  (developer.nvidia.com)

  #algorithms #graph-processing #math #parallel-computing

• How to write code that solves logical constraints instead of testing them

  (levelup.gitconnected.com)

  #data-science #algorithms #math

• Recommender Systems using LinUCB: A Contextual Multi-Armed Bandit Approach

  (towardsdatascience.com)

  #data-science #machine-learning #math

• Evaluating the Accuracy of My Video Search Engine

  (towardsdatascience.com)

  #machine-learning #image-processing #search #math

• Debugging your Neural Nets and checking your Gradients

  (towardsdatascience.com)

  #debugging #neural-net #visualisation #math

• The Importance of Covariates in Causal Inference: Shown in a Comparison of Two Methods

  (tech.wayfair.com)

  #data-science #analytics #math #statistics

• Open-Sourcing riskquant, a library for quantifying risk

  (netflixtechblog.com)

  #security #analytics #math #systems

• NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

  (towardsdatascience.com)

  #machine-learning #algorithms #research #math

• Anomaly Detection — Product of Data Refinery

  (tech.ebayinc.com)

  #machine-learning #analytics #time-series #math

• Bayesian Product Ranking at Wayfair

  (tech.wayfair.com)

  #data-science #algorithms #big-data #math

• A Scientific Approach to Capacity Planning

  (tech.wayfair.com)

  #infra #scaling #analytics #math #systems

• CTR Optimization via Thompson Sampling

  (medium.com)

  #algorithms #optimisation #analytics #math

• A Very Basic Introduction to AES-256 Cipher

  (hackernoon.com)

  #algorithms #math #encryption

• BLAKE3 Is an Extremely Fast, Parallel, Cryptographic Hash

  (www.infoq.com)

  #algorithms #math #cryptography #encryption

• Interest Taxonomy: A knowledge graph management system for content understanding at Pinterest

  (medium.com)

  #data-science #NLP #math #graph

• Beyond L2 Loss — How we experiment with loss functions at Lyft

  (eng.lyft.com)

  #data-science #algorithms #math #statistics

• The story behind an Instacart order, part 3: predicting the shop

  (tech.instacart.com)

  #data-science #machine-learning #math

• Bias-Variance Tradeoff Explained

  (blog.insightdatascience.com)

  #data-science #machine-learning #math #statistics

• Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber

  (eng.uber.com)

  #data-science #software-engineering #machine-learning #math

• Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations

  (eng.uber.com)

  #algorithms #big-data #graph-processing #math

• Time series features extraction using Fourier and Wavelet transforms on ECG data

  (blog.octo.com)

  #signal-processing #algorithms #time-series #math #biotech

• Newsvendor Problem – The Tale of the First Formula in the Textbook

  (multithreaded.stitchfix.com)

  #algorithms #math #statistics

• The TLS Post-Quantum Experiment

  (blog.cloudflare.com)

  #math #encryption #quantum-computing #protocols

• Modeling Uplift Directly: Uplift Decision Tree with KL Divergence and Euclidean Distance as Splitting Criteria

  (tech.wayfair.com)

  #data-science #machine-learning #algorithms #math

• Speeding up Deep Clustering with Concrete GMVAEs

  (product.hubspot.com)

  #deep-learning #performance #research #math

• The Lucas Critique and the Necessity of Theory

  (tech.wayfair.com)

  #data-science #algorithms #math #statistics

• Moving Beyond Deterministic Optimization: Making a Decision in the Face of Uncertainty

  (multithreaded.stitchfix.com)

  #algorithms #optimisation #analytics #math

• Introducing LCA: Loss Change Allocation for Neural Network Training

  (eng.uber.com)

  #machine-learning #algorithms #neural-net #math

• Presentation: Computer Mathematics, AI and Functional Programming

  (www.infoq.com)

  #AI #functional-programming #math #computation

• Learning Better Simulation Methods for Partial Differential Equations

  (ai.googleblog.com)

  #research #math #simulation #computation

• Understanding Partial Auto-Correlation

  (towardsdatascience.com)

  #data-science #analytics #time-series #math #statistics

• Double Deep Q Networks

  (towardsdatascience.com)

  #deep-learning #AI #algorithms #math

• Simulacra And Selection

  (multithreaded.stitchfix.com)

  #data-pipeline #data-science #math

• The Quantum Menace

  (blog.cloudflare.com)

  #hardware #math #quantum-computing #cs-theory

• Bias Variance Decompositions using XGBoost

  (devblogs.nvidia.com)

  #machine-learning #performance #GPU #math

• Inside the Entropy

  (blog.cloudflare.com)

  #math #encryption #cs-theory #computation

• Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculations

  (ai.googleblog.com)

  #data-science #performance #research #math #computation

• Function Approximation in Reinforcement Learning

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net #math

• Analyzing different types of activation functions in neural networks — which one to prefer?

  (towardsdatascience.com)

  #machine-learning #neural-net #math

• Presentation: Forecasting in Complex Systems

  (www.infoq.com)

  #data-science #algorithms #big-data #math

• Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

  (eng.uber.com)

  #data-science #data-analytics #big-data #math

• Markov Chains and HMMs

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms #math

• Understanding Dynamic Time Warping

  (databricks.com)

  #data-analytics #data-visualisation #math #statistics

• Understanding basics of measurements in Quantum Computation

  (towardsdatascience.com)

  #research #math #quantum-computing #computation

• A Visual Exploration of Gaussian Processes

  (distill.pub)

  #data-science #data-analytics #visualisation #math #statistics

• PinSage: How Pinterest improved their recommendation system?

  (towardsdatascience.com)

  #data-science #machine-learning #math #recommender

• Design Principles for Mathematical Engineering in Experimentation Platform at Netflix

  (medium.com)

  #dev-tools #data-analytics #practices #math

• A Hitchhiker’s Guide to Mixture Density Networks

  (towardsdatascience.com)

  #AI #machine-learning #math #probability

• Inference using EM algorithm

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms #math

• Introduction to Augmented Random Search.

  (towardsdatascience.com)

  #data-science #machine-learning #search #math

• Improving Experimentation Efficiency at Netflix with Meta Analysis and Optimal Stopping

  (medium.com)

  #analytics #math #statistics

• Q-LocalSearch

  (towardsdatascience.com)

  #data-science #machine-learning #math

• Bayesian Optimization & Quantum Computing

  (towardsdatascience.com)

  #research #math #quantum-computing #computation

• Understanding how IME (Shapley Values) explains predictions

  (towardsdatascience.com)

  #data-science #machine-learning #math

• Fast Gaussian-distributed Random Numbers

  (engineering.vena.io)

  #algorithms #performance #math #random-numbers

• Nevergrad: An open source tool for derivative-free optimization

  (code.fb.com)

  #data-science #machine-learning #python #math

• Monte Carlo Power Analysis

  (deliveroo.engineering)

  #data-analytics #python #math

• What Is Physically-Based Animation?

  (towardsdatascience.com)

  #algorithms #rendering #research #math

• Interpretable Neural Networks

  (towardsdatascience.com)

  #machine-learning #neural-net #math

• Linear Regression in Real Life

  (www.dataquest.io)

  #data-science #data-analytics #math

• Vectorization Implementation in Machine Learning

  (towardsdatascience.com)

  #machine-learning #python #math

• Speaker Diarization — The Squad Way

  (hackernoon.com)

  #machine-learning #audio-processing #math

• How to unwrap wine labels programmatically

  (hackernoon.com)

  #image-processing #algorithms #math

• Food Discovery with Uber Eats: Recommending for the Marketplace

  (ubereng.wpengine.com)

  #software-design #machine-learning #algorithms #math

• Coding Deep Learning for Beginners — Linear Regression: Gradient Descent

  (towardsdatascience.com)

  #deep-learning #visualisation #math

• Perceptron Learning Algorithm: A Graphical Explanation Of Why It Works

  (towardsdatascience.com)

  #machine-learning #neural-net #math

• A simple and intuitive explanation of Hinton’s Capsule Networks

  (towardsdatascience.com)

  #deep-learning #data-science #math

• Explain Neural Arithmetic Logic Units (NALU)

  (becominghuman.ai)

  #data-science #neural-net #math

• Facebook and Twitter were born in 18th century Europe

  (towardsdatascience.com)

  #algorithms #graph-processing #math

• The Lean Theorem Prover: Past, Present and Future

  (galois.com)

  #HCI #functional-programming #math

• Add Constrained Optimization To Your Toolbelt

  (multithreaded.stitchfix.com)

  #data-science #optimisation #math #statistics

• AV1: next generation video – The Constrained Directional Enhancement Filter

  (hacks.mozilla.org)

  #signal-processing #compression #math #video-processing

• Add Constrained Optimization To Your Toolbelt

  (multithreaded.stitchfix.com)

  #data-science #math #statistics

• Taming the Beast: How Scylla Leverages Control Theory to Keep Compactions Under Control

  (www.scylladb.com)

  #machine-learning #distributed-systems #math

• How are Logistic Regression & Ordinary Least Squares Regression Related?

  (towardsdatascience.com)

  #data-science #data-analytics #math

• Coding Neural Network — Dropout

  (towardsdatascience.com)

  #machine-learning #neural-net #math

• Reinforcement Learning Demystified: Solving MDPs with Dynamic Programming

  (towardsdatascience.com)

  #data-science #machine-learning #math

• Two things about power

  (multithreaded.stitchfix.com)

  #data-analytics #math #statistics

• Custom Loss functions for Deep Learning: Predicting Home Values with Keras for R

  (towardsdatascience.com)

  #data-science #machine-learning #keras #math

• Uplift Modeling in Display Remarketing

  (tech.wayfair.com)

  #data-science #data-analytics #marketing #math

• What is the math behind elliptic curve cryptography?

  (hackernoon.com)

  #math #cryptography #encryption

• Information Theory of Neural Networks

  (hackernoon.com)

  #data-analytics #neural-net #math

• Linear Algebra for Deep Learning

  (towardsdatascience.com)

  #machine-learning #math

• Variational Inference: Ising Model

  (towardsdatascience.com)

  #data-science #python #math

• Common Patterns for Analyzing Data

  (towardsdatascience.com)

  #machine-learning #data-analytics #math

• Intro to Descriptive Statistics

  (towardsdatascience.com)

  #data-analytics #math

• Announcing Tensor Comprehensions

  (research.fb.com)

  #deep-learning #tensor-flow #research #math

• Unravelling Bayesian Dark Magic: Non-Bayesianist Implementing Bayesian Regression

  (towardsdatascience.com)

  #machine-learning #math #probability

• Automatic feature engineering using deep learning and Bayesian inference

  (towardsdatascience.com)

  #deep-learning #machine-learning #math

• Mixed-integer Programming: A Guide to Computational Decision-making

  (www.toptal.com)

  #algorithms #python #math

• More functional: A story in refactoring a 2d vector library

  (hackernoon.com)

  #javascript #functional-programming #refactor #math

• Understanding Learning Rates and How It Improves Performance in Deep Learning

  (towardsdatascience.com)

  #deep-learning #data-science #math

• Supervised Machine Learning — Dimensional Reduction and Principal Component Analysis

  (hackernoon.com)

  #data-science #machine-learning #math

• Another Way to Find Max Partitions

  (hackernoon.com)

  #algorithms #math

• Probability concepts explained: Bayesian inference for parameter estimation.

  (towardsdatascience.com)

  #machine-learning #math #probability

• Probability concepts explained: Maximum likelihood estimation

  (towardsdatascience.com)

  #data-science #math #probability

• Machine Learning Bit by Bit — Multivariate Gradient Descent

  (hackernoon.com)

  #machine-learning #visualisation #math

• The Statistical Modeling System Powering LinkedIn Salary

  (engineering.linkedin.com)

  #machine-learning #data-analytics #math

• Gleaning Insights from Uber’s Partner Activity Matrix with Genomic Biclustering and Machine Learning

  (eng.uber.com)

  #machine-learning #data-visualisation #classifier #math

• CUTLASS: Fast Linear Algebra in CUDA C++

  (devblogs.nvidia.com)

  #GPU #math #CUDA #C++

• Sequence Modeling with CTC

  (distill.pub)

  #data-science #machine-learning #math

• Probabilistic Graphical Models Tutorial — Part 2

  (blog.statsbot.co)

  #machine-learning #probability-modelling #math

• Backprop and systolic arrays.

  (becominghuman.ai)

  #AI #machine-learning #hardware #neural-net #math

• Supervised Machine Learning — Linear Regression in Python

  (hackernoon.com)

  #machine-learning #python #regression #math

• Fused Video Stabilization on the Pixel 2 and Pixel 2 XL

  (research.googleblog.com)

  #algorithms #research #math #video-processing

• Our Discovery of Cramming

  (blog.twitter.com)

  #algorithms #data-analytics #math

• LavaRand in Production: The Nitty-Gritty Technical Details

  (blog.cloudflare.com)

  #math #cryptography #random-numbers

• Probabilistic Graphical Models Tutorial — Part 1

  (blog.statsbot.co)

  #probability-modelling #math #graph

• Neural Network Learning Internals(Error Function Surface, Non-Convexity, SGD Optimization)

  (becominghuman.ai)

  #deep-learning #neural-net #math

• Singular Value Decomposition (SVD) Tutorial: Applications, Examples, Exercises

  (blog.statsbot.co)

  #data-science #machine-learning #analytics #math

• Solving the Schrödinger equation with deep learning

  (becominghuman.ai)

  #deep-learning #machine-learning #math

• Bayesian Learning for Statistical Classification

  (blog.statsbot.co)

  #machine-learning #classifier #math

• Diamond Part I

  (multithreaded.stitchfix.com)

  #machine-learning #regression #linear-modelling #math