10 Jul 2021
Day 23 #31DaysofML by @pvergadia
π‘Tips to get started with #MachineLearningπ‘
Pratham Prasoon is a 16 year old with passion for making #ML simple. We sat down for a virtual chat where he shares some of his favorite resources. google.smh.re/byM
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4 Mar 2021
πͺWe did it! It's Day 3οΈβ£1β£ of #31DaysofML
I want to leave you will this difference between AI, ML and Deep Learning. We covered this on Day 11 but most of you asked for a video. So here you go!
vm.tiktok.com/ZMeMMwFpt/
#ArtificialIntelligence #MachineLearning #DeepLearning
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3 Mar 2021
π So excited to share this with you on day 30 #31DaysofML
Built a sound classification model for these sounds
πΈGuitar
π¦ Bird
π Clap
Also deployed the model on Cloud Run!
Want to try it yourself? code π goo.gle/3kF9yPS
#MachineLearning #NoCode #GoogleCloud
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3 Mar 2021
Day 16 of #31DaysofML
Here are some use cases of computer vision
β
Industrial inspection
π Product search
π Document classification
πΌ Image search
Checkout the architectures to implement using Vision API with
#NoCode #MachineLearning google.smh.re/3LN
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2 Mar 2021
Day 29 #31DaysofML
π€ What is Hyperparameter tuning?
The process of selecting the right set of hyperparameters for your #ML app
π€ What are hyperparameters?
Variables that govern the training process & the topology of an ML model.
A 𧡠π 1/3
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Day 26 #31DaysofML by @pvergadia
π€ What does MLOps looks like on #GoogleCloud?
π Checkout out this solution goo.gle/308Ymln
google.smh.re/39H
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1 Mar 2021
Day 28 #31DaysofML
Sharing few resources for running #TensorFlow on @GoogleCloudTech
π Course π goo.gle/3dXFfCH
π TF Deep Learning VM π goo.gle/2NLk642
π Train/predict with Keras π goo.gle/3uDX4N8
π Distributed TF on GCE π goo.gle/3bPOwtI
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28 Feb 2021
Day 27 #31DaysofML
Here is a resource that can help architect a #serverless #MachineLearning model.
π goo.gle/3r0Vpik
#GoogleCloud
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27 Feb 2021
Here is how #GoogleCloud AutoML helps make MLOps a bit easier. To learn more checkout this solutions π goo.gle/308Ymln
#31DaysofML
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27 Feb 2021
Day 26 #31DaysofML
π€ What is MLOps?
#MachineLearning Model Operationalization Management
π§ But what is it?
End-to-end #ML development process to design, build & manage reproducible, testable, & evolvable ML-powered systems
π€ Here's how MLOps looks like on #GoogleCloud
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26 Feb 2021
Day 22 #31DaysofML
What is Scikit-learn?
It is #MachineLearning library that offers a rich suite of tools for doing things such as:
πΉ Dataset loading & manipulation
πΉ Preprocessing pipelines and metrics
πΉ Comes with large number of ML algorithms
google.smh.re/2k7
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26 Feb 2021
Day 16 of #31DaysofML
Here are some use cases of computer vision
β
Industrial inspection
π Product search
π Document classification
πΌ Image search
Checkout the architectures to implement using Vision API with
#NoCode #MachineLearning google.smh.re/2gc
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25 Feb 2021
π‘Tips to get started with #MachineLearningπ‘
A lot of us are fascinated by @PrasoonPratham who is on a mission to make #ML simple. So, for today's #31DaysofML
I invited him for a quick virtual chat. Watch & follow πΉ π goo.gle/3bzQbDP
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24 Feb 2021
Day 23 #31DaysofML
Today I created a tweet sentiment analysis model with absolutely #nocode using #GoogleCloud Natural Language AutoML which supports π types datasets:
πΉ Single & Multi Label classification
πΉ Entity extraction
πΉ Sentiment Analysis
See how I did π
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23 Feb 2021
π Here is how you train the model
from sklearn import svm
clf = svm.SVC() --- Support vector classifier model
clf.fit(X_train, y_train) -- train the model using fit function
#31DaysofML
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23 Feb 2021
π Here is how you split the data using scikit-learn
from sklearn.model_selection import train_test_split
all_X, all_y = preprocess(data)
X_train, X_test, y_train, y_test = train_test_split(all_X, all_y)
#31DaysofML
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23 Feb 2021
Scikit-learn is also a great way to learn what different types of models do and gain some intuition around how the various parameters for a model perform.
#31DaysofML
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23 Feb 2021
Day 16 of #31DaysofML
Here are some use cases of computer vision
β
Industrial inspection
π Product search
π Document classification
πΌ Image search
Checkout the architectures to implement using Vision API with
#NoCode #MachineLearning google.smh.re/1vD
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23 Feb 2021
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23 Feb 2021
Day 18 #31DaysofML by Priyanka Vergadia (@pvergadia)
#machineengineering #ai #datascience #GoogleCloud #bigquery google.smh.re/1qH
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