How To Forecast With Moving Average Models
Tutorial and theory on how to carry out forecasts with moving average models for time series analysis- 28561Murphy ≡ DeepGuide
Understanding Noisy Data and Uncertainty in Machine Learning
The actual reason your machine learning model isn't working- 27392Murphy ≡ DeepGuide
The Meaning Behind Logistic Classification, from Physics
Why do we use the logistic and softmax functions? Thermal physics may have an answer.- 20972Murphy ≡ DeepGuide
What is ARIMA?
An introduction to the ARIMA forecasting model and how to use it for time series- 25688Murphy ≡ DeepGuide
Linear Algebra: LU Decomposition, with Python
Part 4: A comprehensive step-by-step guide to solving a linear system with LU Decomposition- 30055Murphy ≡ DeepGuide
Understanding DeepMind matrix multiplication
DeepMind matrix multiplications on NVIDIA V100, Tesla T4 and a look at FBHHRBNRSSSHK - which is not me typing random letters!- 30171Murphy ≡ DeepGuide
Kaiming He Initialization in Neural Networks – Math Proof
Deriving optimal initial variance of weight matrices in neural network layers with ReLU activation function- 29897Murphy ≡ DeepGuide
Can Weight Decay Work Without Residual Connections?
How do residual connections secretly fight overfitting?- 22705Murphy ≡ DeepGuide
Understand & Implement Masked AutoRegressive Flow with TensorFlow
Flow-Based Models for Density Estimation with TensorFlow- 27752Murphy ≡ DeepGuide
Visualized Linear Algebra to Get Started with Machine Learning: Part 1
Master elements of linear algebra, start with simple and visual explanations of basic concepts- 29444Murphy ≡ DeepGuide
Unsupervised data pruning: less data to learn better
Not always more data is meaning a more accurate model, but how to choose your data?- 26862Murphy ≡ DeepGuide
Visualized Linear Algebra to Get Started with Machine Learning: Part 2
Master elements of linear algebra, start with simple and visual explanations of basic concepts- 23632Murphy ≡ DeepGuide
Coupon Collector's Problem: A Probability Masterpiece
Unpacking the intricacies of a classic probability puzzle- 28717Murphy ≡ DeepGuide
Linear Algebra: Euclidean Vector Space
Part 5: A Gentle Introduction to Euclidean Vector Space- 29665Murphy ≡ DeepGuide
A better symbolic regression method, by explicitly considering units
Could help to blend machine learning with classical approaches to sciences and engineering, by providing more interpretable models rooted...- 23643Murphy ≡ DeepGuide
Learning Math Through Code: Derivatives
Gain a deeper understanding of derivatives with Python- 22233Murphy ≡ DeepGuide
Linear Algebra: Orthogonal Vectors
Part 6: A Gentle Introduction to Orthogonal Vectors- 24725Murphy ≡ DeepGuide
Desmystifying Curvelets
Learn what curvelets are what they can be used for. Follow me for more about signal processing and computing computing.- 26235Murphy ≡ DeepGuide
Let's Talk About Math (for Data Scientists)
Our weekly selection of must-read Editors' Picks and original features- 28527Murphy ≡ DeepGuide
What is Harmonic Regression for Time Series Forecasting?
Unveiling the fascinating relationship between Fourier Series and Time Series- 21477Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag