Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Expert Interaction on ML
Search
Kurian Benoy
February 25, 2024
Programming
0
31
Expert Interaction on ML
Kurian Benoy
February 25, 2024
Tweet
Share
More Decks by Kurian Benoy
See All by Kurian Benoy
Project Review Report 5 - MTech Project
kurianbenoy
0
18
Joy of Programming
kurianbenoy
0
8
Project Review Report 4 - Robust Speech Recognition in Malayalam
kurianbenoy
0
36
Final project report - Phase 1
kurianbenoy
0
29
Project Review Slides
kurianbenoy
0
16
Demysitfying Async&Await in Python and JavaScript
kurianbenoy
0
120
Tensorflow User Groups(TFUG) India Summit
kurianbenoy
0
47
Malayalam TTS - 1
kurianbenoy
0
66
ML Models and Dataset Versioning
kurianbenoy
0
400
Other Decks in Programming
See All in Programming
ピグパーティにおけるMongoDB CommunityバージョンからAtlasへの移行事例
10969hotaka
0
130
最近追加した型の紹介とその振り返り
aki19035vc
0
170
なぜ宣言的 UI は壊れにくいのか / Why declarative UI is less fragile
uenitty
29
13k
AHC035解説
terryu16
0
710
Play Billing Library 7.0.0 変更点まとめ@potatotips#88
kako351
0
160
AWS CDKにおける「再利用性」を考える / aws-cdk-reusability
gotok365
6
1.3k
How to use Macrobenchmark
veronikapj
0
160
大規模マルチテナントを解決するYugabyteDBという選択肢
nnaka2992
1
250
DDDを志して3年経ったら「DDDの皮を被ったクリーンアーキテクチャ」になった話【デブサミ2024夏】
texmeijin
1
620
生成AIをkintoneに連携してみた
hideg
0
230
APIのない大学ログインWebサービスをWKWebViewとJavaScriptでアプリ化した話
akidon0000
1
330
日付と正規化
megmogmog1965
0
140
Featured
See All Featured
For a Future-Friendly Web
brad_frost
173
9.2k
How to train your dragon (web standard)
notwaldorf
79
5.5k
Thoughts on Productivity
jonyablonski
64
4.1k
Adopting Sorbet at Scale
ufuk
71
8.8k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
277
13k
Designing the Hi-DPI Web
ddemaree
276
34k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
35
6.3k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
149
45k
jQuery: Nuts, Bolts and Bling
dougneiner
61
7.4k
Build your cross-platform service in a week with App Engine
jlugia
227
17k
[RailsConf 2023] Rails as a piece of cake
palkan
35
4.4k
Gamification - CAS2011
davidbonilla
78
4.9k
Transcript
Machine Learning and Learning CS in real-world Expert Interaction
About ME SE- DataScientist - AOT Technologies Open Source contributor
- Keras, DVC, SMC Kaggle 2x Expert (under Rank 500) FOSSASIA Open TechNights Winner GCI Mentor - Tensorflow
Introduction
Artificial Intelligence (AI) Whenever a machine completes a set of
tasks based on set of stipulated rules that solves a problem(algorithms), such an intelligence systems is AI
Machine Learning (ML) Machine Learning is subset of AI application
that learns by itself. It actually reprograms itself, as it digests more data, to perform the specific task it's designed to perform with increasingly greater accuracy
Deep Learning (DL) It is a subset of machine learning
application that teaches itself to perform a specific task with increasingly greater accuracy, without human intervention.
None
Types of Machine Learning Data
Real World Applications
Supervised Learning Unsupervised Learning Reinforcement Learning
Few interesting applications of AI ImageNet competion AlphaGo Zero Protein
Folding GPT-3
My tech Journey
Coding in Schools vs Real-world Learning Syntax Just building basic
calaculators, software etc. Referring Documentation and googling a lot Building real useful software's
How to learn next?
References https://www.ibm.com/cloud/learn/what-is-artificial-intelligence 1. https://github.com/GopikrishnanSasikumar/How-to-learn-ML-for-humans 2.