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

Continue Reading# error

## Sniffing Out Errors

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

Continue Reading## Asimov’s question about π

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

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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.…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## RxSwift: The Complexity Tradeoff

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

Continue Reading## 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…

Continue Reading## 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,…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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.…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## How to handle errors with grace: failing silently is not an option

Well, it is what it is. An interesting side note, at least to me, is that the default implementation for…

Continue Reading## The bootstrap. The Swiss army knife of any data scientist

That’s the point at which bootstrap comes in help. Bootstrap in a nutshellBootstrap is a technique made in order to measure…

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