Welcome!

Welcome to my blog! Overtime this is largely tech stuff I’ve thrown together, borrowed and pasted for reading material, I rarely mant...

In random, Mar 01, 2022

A Reading List for introduction to Cloud Computing technologies

Cloud Computing Reading GroupIf you are looking into cloud infrastructures, and a basic understanding of how existing cloud computing...

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All Stories

Welcome!

Welcome to my blog! Overtime this is largely tech stuff I’ve thrown together, borrowed and pasted for reading material, I rarely mantain or add to it anymore. Hopefully, that will cha...

In random, Mar 01, 2022

Management 101

Background

In management, Jan 22, 2022

Software Engineering Idioms in Tech

Bikeshedding Dogfooding Boil the ocean Rubber duck debugging Drinking the Kool-Aid Skunkworks Yak Shaving Technical debt Bus factor Code smellBikesheddingBikeshedding, or t...

In tech, Sep 09, 2020

Overfitting and Regularization (Coursera ML, Week 3 Part II)

Week 3 (Part II) - Overfitting and RegularizationAfter learning process, we get a good model. If we apply it to certain problems, we may or may not get good performance. That is the i...

In machine learning, coursera, Oct 04, 2019

Non-Linear Hypothesis and Neural Network (Coursera ML, Week 4)

Week 4 - Non-Linear Hypothesis and Neural Network (NN)In previous notes, we introduced linear hypotheses such as linear regression, multivariate linear regression and simple logistic ...

In machine learning, coursera, Oct 04, 2019

Java Lambda Expressions

References:BackgroundWhat are functional interfaces?A functional interface is an interface that contains only one abstract method. They can have only one functionality to exhibit. The...

In tech, java, programming, Oct 03, 2019

Multivariate Linear Regression, MSE, Gradient Descent and Normal Equation (Coursera ML, Week 2)

Week 2 - ML(Coursera) - Multivariate Linear Regression, MSE, Gradient Descent and Normal Equation.In Week1, we introduced the single variable linear regression. In this note, we will ...

In machine learning, coursera, Oct 03, 2019

Classification Problem, Logistic Regression and Gradient Descent (Coursera ML, Week 3 Part I)

Week 3 - Classification Problem, Logistic Regression and Gradient Descent. PartIIn week1 and week2, we introduced the Supervised Learning and Regression Problem. Today, we are going t...

In machine learning, coursera, Oct 03, 2019

Machine Learning Definitions (Coursera ML, Week 1)

Definition of Machine LearningMachine learning is a science that gives computers the ability to learn without explicitly programmed.Supervised Learninggiven data with label (i.e. righ...

In machine learning, coursera, Oct 03, 2019

Using Mockito for Java Unit Testing

References: Mockito Tutorial JournalDev Mockito Tutorialspoint Mockito Tutorial JavaCodeHouse Dependency Injection ReflectionsAs I returned back to Java programming, I had to rev...

In tech, testing, junit, java, programming, mockito, Oct 01, 2019