Good Software

Promoting good software practices: One tweet at a time.

[John Oke @thejohnoke]

It's the best of times

[Good Software @goodsoftng]

Machine learning is the practice of applying algorithmic models to data, in an iterative manner, so that your computer discovers hidden patterns or trends that you can use to make predictions.

[Tosin Olugbenga @TosinOlugbenga]

You woke up and you have 15000 bot sign ups on your application.

Depleting your server resources and other services like email quota.

What do you do as a developer? I provided just one solution.

[Good Software @goodsoftng]

How Meta Achieves 99.99999999% Cache Consistency 🎯 https://t.co/lKlAqEBmP0

[Good Software @goodsoftng]

How Meta Achieves 99.99999999% Cache Consistency 🎯 https://t.co/lKlAqEBmP0

[Good Software @goodsoftng]

-Ensemble algorithm : Combines ML approaches to achieve better result.

Hope the notes are helpful in remembering key points?

[Good Software @goodsoftng]

-Neural network :Think how the brain works.
-Deep learning methods : combines traditional NN into successive layers.

[Good Software @goodsoftng]

-Clustering algorithm :to uncover subgroups in unlabeled dataset.
-Dimension reduction methods : to remove redundant info from data.

[Good Software @goodsoftng]

-Naive Bayes methods : to predict if an event will occur based on evidence in data.
-Decision tree : to predict potential fallout in making decisions.

[Good Software @goodsoftng]

-Instance based algorithm: to use observation in data to classify new observations (k-nearest neighbour)
-Regularizing algorithm: Adding info to data to prevent over fitting to solve ill-posed problems

[Good Software @goodsoftng]

ML Algorithm Toolbox
-Regression algorithm: to model relationship between features in data.
-Association rule learning algorithm : discover associations between features in data

[Good Software @goodsoftng]

The 3 ML styles
-Supervised (logistic regression)
-Unsupervised(principal component analysis, k-means clustering etc)
-Semi-Supervised or Reinforcement learning

[“LIVE FROM MIAMI BEACH” OUT NOW! @LupeFiasco]

Upon realizing his music career was partially over. Mr. Fiasco quietly began investing in & cofounding various startups, a private arts academy and international facing media businesses. He enjoys a small career in painting & spends most his free time watching academic lectures. https://t.co/iVVvNafO2q

[Good Software @goodsoftng]

Real-time internet marketing, internet search,recommendation engines, credit score modelling, automatic facial recognition...are example of ML use cases

[Good Software @goodsoftng]

Machine learning is the practice of applying algorithmic models to data, in an iterative manner, so that your computer discovers hidden patterns or trends that you can use to make predictions.

[Victor Obaitor @vics_linq]

Business Model: Data as a service https://t.co/Pe7sLI6rLJ

[Patrick Mulligan @PatMMulligan]

This is a really good way to remember how a complex subject comes together. #DataScience https://t.co/qp5Kq7L9zb

[Good Software @goodsoftng]

Kinds of Data that are useful in business-centric data science
-Transactional business data
-Social data related to brand or business {data generated from social networks}
-Machine data from business operations (e.g SCADA systems )

[Good Software @goodsoftng]

Advantages of Business Centric DataScience
-Decrease financial risk
-Increase efficiencies of systems and processes
-Increase sales rates