I delve into a diverse range of topics, spanning programming languages, machine learning, data engineering tools, and DevOps. Our articles are enriched with practical code examples, ensuring their applicability in real-world scenarios.

2024

Summary 2024 Reviews of Papers on Geometric Learning - Dec 16

Approximating PCA on Manifolds - Dec 15

Frechet Centroid on Manifolds in Python - Dec 10

Deep Learning on Mac Laptop with MPS - Nov 15

Impact of Linear Activations on Convolutional Networks - Oct 31

Limitations of the Linear Kalman Filter - Oct 5

Introduction to SE3 Lie Groups in Python - Sep 26

Lie algebra on SO3 Group in Python - Sep 14

Operations on SO3 Lie Group in Python - Sep 5

Fractal Dimension of Objects in Python - Aug 30

Performance Improvement in Numpy 2.x & Lapack 3.9 - Aug 19

Uniform Manifold Approximation and Projection - Jul 24

Riemannian Metric for SPD Manifolds - Jul 16

Fisher Information Matrix - Jun 29

Principal Geodesic Analysis - Jun 12

Riemannian Geometry Cheat sheet - Jun 3

Logistic Regression on Riemann Manifolds - May 13

K-means on Riemann Manifolds - May 1

Riemann Curvature in Python - Apr 20

Riemann Metric & Connection for Geometric Learning - Apr 14

Functional Data Analysis in Python - Apr 7

Geometric Learning in Python: Vector Operators - Apr 3

Vector & Covector fields in Geometric Learning - Mar 31

Intrinsic Representation in Geometric Learning - Mar 14

Geometric Learning in Python: Differential Operators - Feb 17

Differentiable Manifolds for Geometric learning - Jan 22

2023

Foundation of Geometric Learning - Dec 29

Distributed Recursive Kalman Filter on Large Datasets Dec 13

Modular Markov Chain Monte Carlo in Python - Dec 1

Optimize Apache Spark with Genetic Algorithm - Nov 26

Explainable ML models with SHAP - Nov 19

Tracking Storms with Kafka/Spark Streaming - Nov 1

Boost Real-time Processing - Spark Structured Streaming - Oct 24

Tableau-like Visualization with PyGWalker - Oct 9

Supercharge Python with DeepMind's JAX - Sep 17

Automate Medical Coding using BERT - Aug 20

Compare Python, NumPy and PyTorch Performance - July 28

Automate Technical Documentation Using LLMs - Jun 15

Pythonic Coding Exercises: recursion - May 31

Extend LangChain Sequences with Data Types - Apr 18

Generate Code with ChatGPT Reusable Prompt Patterns - Mar 21

Secure ChatGPT API Client in Scala - Feb 15

ChatGPT API Python Client - Jan 21

2022

Improve Python with Pydantic 2.0 - Dec 18

Manage Spark Pipeline with Airflow - Nov 30

Enhance Stem-based BERT WordPiece Tokenizer - Nov 9

Accelerate Deep Learning with Neural Blocks - Oct 21

Generative AI with Kafka & Spark - Sep 18

Pattern Matching: Python vs Scala - Aug 2

Fractal Dimension of Images in Python - July 6

Manage Memory in Deep Java Library - Jun 3

Explore Data Centric AI - May 10

Discounted Cumulative Gain in Scala - Apr 8

Implement Non-blocking MongoDB in Scala - Mar 11

Distributed Bloom Filter - Jan 24

2021

Automate GAN Configuration in PyTorch - Sep 11

Open Source Lambda Architecture for Deep Learning - Jun 21

Discrete Kalman Predictor in Scala - May 30

MLOps for Data Scientists - Mar 28

Lazy Instantiation of Dataset from Amazon S3 - Jan 19

2020

Evaluate Performance of Scala Tail Recursion. - Nov 1
Law of Demeter in Java and Scala. - Oct 9
Type Erasure, Manifest & Specialization in Scala. - Aug 30
Setup Tableau with Amazon EMR - Jul 19
Handling Scala Option Elegantly. - Apr 26

Parallelize Kernel Density Estimation with Spark - Feb 22

2019

Variance Annotation in Scala - Dec 11

Contextual Thompson Sampling - Oct 20

Multivariate Normal Sampling with Scala and ND4j - Jul 22

Genetic Algorithms; Solver - May 12

Genetic Algorithms: Operators - Apr 3

Genetic Algorithms: Elements - Mar 11

Versioning Scala Classes - Jan 19

2018

Integrate 3rd Party Services to Spark. - Nov 21

K-means Clustering in Java: Classification. - Oct 31

K-means Clustering in Java: Components. - Oct 10

Scala 2.x Implicit Classes to Extend Libraries. - Sep 8

Speed up Fibonacci Sequence with Tail Recursion. - Jul 9

Streaming Moving Averages with Apache Spark. - May 24

Overload Operators in C++ & Scala - Apr 23

Fisher-Yates Shuffle in Scala. - Mar 16

Implementing AdaGrad Optimizer in Spark. - Feb 7

2017

Category Theory in Scala. - Dec 7

Implement Reinforcement Learning in Scala. - Oct 27

Scala Futures with Callbacks. - Aug 22

Runge-Kutta ODE Solver in Scala. - Jul 6

Scala Immutability & Covariance. - Jun 11

Recursive Minimum Spanning Tree in Scala. - Apr 2

Implement Function Vectors in Scala. - Feb 26

Histogram-based Approximation Using Apache Spark. - Jan 16

2016

Recursive Mean and Standard Deviation in Scala. - Nov17

Dependencies Injection in Scala. - Sep 18

Encode Spark ML pipeline Features - Aug 8

Monte Carlo Integration in Scala. - Jul 4

Analyze Scala Performance Using Java. - Jun 16

Bootstrapping by Resampling with Replacement - May 5

Manage Spark Context in ScalaTest. - Apr 15

Weight Logistic Loss for Imbalanced Dataset in Spark. - Mar 7

Revisit Newton-Raphson Method. - Feb 4

2015

Fast Kullback-Leibler Divergence Using Spark. - Dec 2

Time Complexity for Graph and ML Algorithms. - Nov 9

Evaluate Optimizers for Logistic Regression in Spark - Oct 13

Histogram-based Approximation in Scala. - Sep 10

Scala View Bound vs. Context Bound. - Jun 19

Recursive Viterbi Algorithm for Hidden Markov Model. - Apr 15

F-bounded Type Polymorphism. - Mar 4

Back-Pressure Strategy using Akka Mailboxes. - Feb 15

2014

Boost K-Means with Spark/MLlib - Nov 29

Scala High Order Methods: Collect & Partition - Oct 30

Mixin Constraint on Self-typed Methods - Sep 14

Akka Master-Worker Design - Aug 22

Akka Actors Blocking on Futures - Jul 22

Explore Scala Discretized Streams - Jun 10

Performance Scala Parallel Collections. - May 5

Curried and Partial Functions in Scala. - Mar 4

Efficient Trading Option Pricing in Scala. - Feb 17

Performance Evaluation of Scala Maps. - Jan 31

Scala Zip vs. Zipped. - Jan 6

2013

Reinforcement Learning in Scala: Model. - Dec 18

Reinforcement learning in Scala: states & policies. - Dec 10

Breakable Loops in Scala. - Nov 3

Symbolic Regression for Data Modeling. - Oct 8

Performance of error handling in Scala - Sep 13

Performance of Scala Iterators - Aug 12

Scala's Share-nothing Actors - Jul 6

Don'f Fear the Monad: Scala - Jun 5

Effective Time Management. - May 19

OAuth-2 for Social Media in Java - Apr 7

Managing Code Quality Using Sonar - Mar 17

Scrum & Distributed Teams. - Feb 19

Naive Bayes Classifier in Java. - Jan 7

2012

Introduction of Scala to Java 7 Developers. - Dec 15

Lazy Evaluation in C++ & Scala. - Nov 12

Type Class Polymorphism and Monads. - Oct 5

Don't Fear the Monad: Theory. - Sep 6

Monday, December 16, 2024

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