Is Statistical Machine Learning OUTDATED?

codebasics · Beginner ·📊 Data Analytics & Business Intelligence ·1y ago

Key Takeaways

This video discusses the relevance of statistical machine learning in the age of Gen AI

Full Transcript

how relevant is statistical machine learning in the age of jna should you learn statistical machine learning or directly jump to learning genni Lang Chen and so on this question is similar to how relevant are motor bikes in the age of cars well obviously there are situations where motorbikes are better compared to cars in this video I'm going to mention few points or few scenarios where using statistical machine learning is better compared to geni point number one is motorbikes provides a direct connection between the Rider and the road you have better control let's say if something goes wrong or if you want to kind of interpret the behavior of it then motorbikes are easier compared to cars similarly statistical machine learning models such as linear regression logistic regressions they are easier to interpret all you have his coefficient and when you give the input you can even write mathematical equation and interpret the results compared to that geni models are not that easy to interpret they're like black box and your AI explainability is lower in the fields like finance and Healthcare where there are regulations and the requirements are such that you need high interpretability in this situation statistical machine learning models are better I have a friend who works in a finance company they're building credit risk model and in that case they sometimes prefer logist istic regression over some complex model let's say some neural network model even though it is giving let's say 3 or 4% more accuracy they will go for logistic regression because it has high interpretability it has high explainability the second point is motorcycles consume less fuel compared to cars similarly statistical machine learning models they consume less Computer Resources when it comes to training as well as inference for llms you need gpus your Compu cost electricity cost will be higher for training as well as inference the next point is motorcycles are agile in congested traffic let's say you are in a Bangalore traffic and if you're going through motorbike you can Manu easily compared to car if you have a big car then moving that car is harder statistical machine learning models are simple even if you smaller data set they will work okay avoiding the need of massive uh training data and complex architecture the next point is motorcycles are best when you are navigating narrow roads let's say if you're navigating narrow roads let's say if you're going a village and the road is really smaller uh people prefer bikes compared to cars so similarly statistical machine learning models are better for narrow task where you have a small data set where precision and structure outcome is the key the next point is motorcycles are easier to maintain compared to cars when you change engine oil in motorcycle it will be easier compared to cars both in terms of convenience as well as the cost let's say if you have a Mercedes and something is broken or let's say even if you want to do a regular service the cost will be higher in cars compared to motorcycles similarly statistical machine learning models are easier to maintain let's say you deploy it in production there is some data drift you want to train it on new data set you can quickly train it compared to that geni models when you want to fine-tune train it they are little bit harder and costlier the next point is motorcycles are cost effective for some type of trips let's say you are going in that Village trip then the overall cost for motorcycle will be less compared to cars so there are some task in the world of AI for which if you use statistical machine learning or geni both will work but when you use statistical machine learning you will end up spending less money you will get quicker result it is like you want to cut something and for that you are using swad instead of knife knife here is statistical machine learning and swad is Gen all right so when you're working on your next machine learning or AI project please keep these points in mind if you have any question there is a comment box below if you are interested in learning statistical machine learning using psychic learn I have a free playlist on YouTube if you want more structure learning then check out this boot camp on COD basics.

Original Description

Should you learn statistical ML in the age of Gen AI? This is like asking should you ride bike in the age of cars? There are situations where statistical ML is a better choice compared to Gen AI. In this video, we will discuss all those points. Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk 📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/ 📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/ ------ 📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/ 📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/ 📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/ 📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/ 🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true
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