Posts History

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

Geometric Learning in Python: Riemann Curvature -  Apr 20

Geometric Learning in Python: Riemann Metric & Connection - Apr 14

Geometric Learning in Python: Functional Data Analysis - Apr 7

Geometric Learning in Python: Vector Operators - Apr 3

Geometric Learning in Python: Vector & Covector fields - Mar 31

Geometric Learning in Python: Intrinsic Representation  - Mar 25

Geometric Learning in Python: Differential Operators - Mar 14

Geometric Learning in Python: Manifolds - Mar 1

Geometric Learning in Python: Basics - Feb 27

Distributed Recursive Kalman Filter on Large Datasets - Feb 12

Modular Markov Chain Monte Carlo in Python - Feb 1

Optimize Apache Spark with Genetic Algorithm -  Jan 3

2023

SHAP Explanation of ML models -  Dec 1

Tracking Storms with Kafka/Spark Streaming -  Nov 26

Boost Real-time Processing - Spark Structured Streaming - Nov 9

Tableau-like Visualization with PyGWalker - Nov 1

Supercharge Python with DeepMind's JAX - Oct 24

Automate Medical Coding using BERT - Oct 9

Compare Python, NumPy and PyTorch Performance  -  Sep 17

Automate Technical Documentation Using LLMs. - Aug 20

Pythonic Coding Exercises: recursion  - July 28

Extend LangChain Sequences with Data Types  -  Jun 15

Generate Code with ChatGPT Reusable Prompt Patterns  -  May 31

Secure ChatGPT API Client in Scala  -  Apr 18

ChatGPT API Python Client  -  Mar 21

Improve Python with Pydantic 2.0  - Feb 15

Manage Spark Pipeline with Airflow - Jan 21

2022

Enhance Stem-based BERT WordPiece Tokenizer  -  Dec 9

Accelerate Deep Learning with Neural Blocks. -  Nov 21

Generative AI with Kafka & Spark - Oct 18

Pattern Matching: Python vs Scala  -  Sep 2

Manage Memory in Deep Java Library  -  Jul 3

Explore Data Centric AI   -   Jun 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 Pperators 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