# error

## Bias and Variance in Machine Learning – A Fantastic Guide for Beginners!

OverviewLearn to interpret Bias and Variance in a given model. What is the difference between Bias and Variance?How to achieve…

## Cosine power approximation to normal

Ten years ago I wrote about how cosine makes a decent approximation to the normal (Gaussian) probability density. It turns…

## Remez algorithm and best polynomial approximation

The best polynomial approximation, in the sense of minimizing the maximum error, can be found by the Remez algorithm. I…

## Sniffing Out Errors

From this you gain an understanding of where your model is succeeding and what can be amended to improve performance.…

## Exception Driven Development

Using program exceptions as a learning tool: When I’m learning something new, I sometimes find myself practicing EDD (exception driven…

In 1977, Isaac Asimov [1] asked how many terms of the slowly converging seriesπ = 4 – 4/3 + 4/5…

## Interpret R Linear/Multiple Regression output (lm output point by point), also with Python

because getting and cleaning data, then data wrangling is almost 60–70% of any data science or machine learning assignment. Know…

## A Short Guide to Try/Except Blocks in Python

Both TypeError and ZeroDivisionError exist in this code just above. We will do something like:try: print(4/0) print(12+"string")except (TypeError, ZeroDivisionError): print("This…

## CI/CD Ingredients for Success

With these in mind, a more useful error message is something like this:Your application can not be deployed because it…

## DRF-Problems: Finally a Django library which implements RFC 7807!

To sate the ‘be flexible’ desire of most developers, this library provides mixins, which works well with your existing classes.…

## A Look At PHP’s isset()

A Look At PHP’s isset()Liam HammettBlockedUnblockFollowFollowingJun 7isset() is one of the most important tools at your disposal to validate data in…

## Beginning Python Programming — Part 9

Make your errors meaningful. ElseSometimes we might want to do something only if everything goes well. We can add else…

## Forecasting: how to detect outliers?

is — of course — left to you to experiment…Do It YourselfPython If you have a pandas DataFrame with one column as the forecast…

RxSwift: The Complexity TradeoffMichael LongBlockedUnblockFollowFollowingMay 23I recently published an article, “RxSwift: Better Error Handling With CompactMap”, in which I demonstrated…

## RxSwift: Better Error Handling With CompactMap

} }}Here we replace our catchErrorJustReturn() function with a materialize() function inside of our flatMapLatest(). We then assign the end…

## How to build a customer support live chat widget with React

How to build a customer support live chat widget with ReactNathan SebhastianBlockedUnblockFollowFollowingFeb 28Live chat is a customer support method with a…

## How to forecast sales revenue: Compare various forecasting approaches

The answer is easy. Calculate the error between the forecast and the actual value. Whichever method has the least error,…

## 6 useful Rust macros that you might not have seen before

6 useful Rust macros that you might not have seen beforeBen McDonaldBlockedUnblockFollowFollowingApr 21Below are 6 Rust macros that are worth taking…

## Best Practices for Client-Side Logging and Error Handling in React | Log Analysis | Log Monitoring by Loggly

Best Practices for Client-Side Logging and Error Handling in React | Log Analysis | Log Monitoring by LogglyDev SpotlightBlockedUnblockFollowFollowingMar 21Logging is…

## Overcoming Ruby Error Messages

Overcoming Ruby Error MessagesRoni ShaboBlockedUnblockFollowFollowingApr 4So you’re a Ruby beginner. You put on your coding gloves, turn on your computer, get…

## What happens when we categorize an independent variable in regression?

Suppose we have a slightly complex quadratic relationship such as y = 3*(x-2)² + 4x + e, where I have…

## Learning Theory: (Agnostic) Probably Approximately Correct Learning

The definition states that a hypothesis class is PAC learnable if there exists a function m_H and an algorithm that…

## Regularization techniques for Neural Networks

Regularization techniques for Neural NetworksYash UpadhyayBlockedUnblockFollowFollowingMar 14SourceIn our last post, we learned about feedforward neural networks and how to design them.…

## Backpropagation Step by Step

Backpropagation Step by StepJoinal AhmedBlockedUnblockFollowFollowingFeb 27If you are building your own neural network, you will definitely need to understand how to…

## What to do when your data fails OLS Regression assumptions

Ordinary Least Squares (OLS) is a method where the solution finds all the β̂ coefficients which minimize the sum of…