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
Machine Learning Quick Talk
Search
Krunal Kapadiya
October 13, 2018
Technology
4
110
Machine Learning Quick Talk
The quick conversation of few machine learning concept in GDG Ahmedabad community.
Krunal Kapadiya
October 13, 2018
Tweet
Share
More Decks by Krunal Kapadiya
See All by Krunal Kapadiya
Introduction to GCP
krunal3kapadiya
0
49
Dive in IAM
krunal3kapadiya
0
60
GCP_Storage.pdf
krunal3kapadiya
0
86
Kubernetes
krunal3kapadiya
0
44
Pub/Sub and DataFlow
krunal3kapadiya
0
50
ML at Udaipur
krunal3kapadiya
0
16
Machine Learning End to End at Surat
krunal3kapadiya
0
100
Android Jetpack Joyride
krunal3kapadiya
0
120
Things that you should know in ml
krunal3kapadiya
0
93
Other Decks in Technology
See All in Technology
KubeCon EU 2024 Recap “Kubernetes Policy Time Machine: Where to Next?”
ryysud
0
220
アクセシビリティを考慮したUI/CSSフレームワーク・ライブラリ選定
yajihum
2
1k
プラットフォームってつくることより計測することが重要なんじゃないかという話 / Platform Engineering Meetup #8
taishin
1
360
非同期推論システムによるコスト削減と信頼性向上
koki_nishihara
0
250
Google Cloud の AI を支える裏側のインフラを垣間見る!
maroon1st
0
350
LangSmith入門―トレース/評価/プロンプト管理などを担うLLMアプリ開発プラットフォーム
os1ma
3
120
Vertex AI を中心に 生成AIのアップデートを共有します
kaz1437
0
310
サーバー間 GraphQL と webmock-graphql の話 / server-to-server graphql and webmock-graphql
qsona
2
190
一生覚えておきたい「システム開発=コミュニケーション」〜初めての実務案件振り返りLT〜
maimyyym
0
140
よく聞くけど使ったことないソフトウェアNo.1 KafkaとSnowflake
foursue
4
360
Gitlab本から学んだこと - そーだいなるプレイバック / gitlab-book
soudai
4
390
Databricks における 『MLOps』
databricksjapan
2
170
Featured
See All Featured
Building a Modern Day E-commerce SEO Strategy
aleyda
17
6.4k
Java REST API Framework Comparison - PWX 2021
mraible
PRO
18
6.9k
Clear Off the Table
cherdarchuk
84
310k
Rebuilding a faster, lazier Slack
samanthasiow
73
8.2k
How to train your dragon (web standard)
notwaldorf
73
5.2k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
352
28k
Unsuck your backbone
ammeep
663
57k
Git: the NoSQL Database
bkeepers
PRO
422
63k
Music & Morning Musume
bryan
41
5.6k
How GitHub Uses GitHub to Build GitHub
holman
468
290k
Designing for humans not robots
tammielis
248
25k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
187
16k
Transcript
Machine Learning Quick Talk ML for every one @krunal3kapadiya #IndiaMLCC
Krunal Kapadiya Google Certified Associate Android Developer
Agenda - Generalization - Training set and Testing set -
Validation
Before we start
Let’s start a story NOTE: We will learn ML with
story of Jonathan Livingston Seagull
None
Measure of central tendency What is Mean? - Average value
from dataset
Measure of central tendency What is Mean? - Average value
from dataset What is Median? - Middle value of dataset
Measure of central tendency What is Mean? - Average value
from dataset What is Median? - Middle value of dataset What is Mode? - Repeated value of dataset
Measure of central tendency http://bit.ly/MeasureCentralTendency
Generalization (a.k.a out of sample error) - Measure of accuracy
for previously unseen data - Difference between expected and proven error - Mostly occurs in deep learning model, training sets working fine, but not fitting in real data
Training set and Testing set
Validations
None
None
None
None
Give me the reference links - https://developers.google.com/machine-learning/crash-course/ml-intro - https://www.kaggle.com/learn/overview -
https://towardsdatascience.com/train-test-split-and-cross-validation-in-python- 80b61beca4b6
Thank You https://krunal3kapadiya.app/ #IndiaMLCC @krunal3kapadiya if accuracy_score>0.75: