Slide 1

Slide 1 text

#GoogleNext17 #Extended #GDGGandhinagar #Codelab

Slide 2

Slide 2 text

Agenda ● What is machine learning? ● How does neural networks works? ● Proof: Machine learning is not rocket science!!!! ● Introduction to Google Cloud Platform ● Introduction to Google Cloud Shell ● Detect Objects, Faces, and Landmarks in Images with the Cloud Vision API ● Proficient Entity and Sentiment Analysis with the Natural Language API ● Speech to Text Transcription with the Cloud Speech API ● Your Choice!

Slide 3

Slide 3 text

What is machine learning?

Slide 4

Slide 4 text

Apple and Orange Example

Slide 5

Slide 5 text

Without ML def detect_colors(image): # lots of code def detect_edges(image): # lots of code def analyze_shapes(image): # lots of code def guess_texture(image): # lots of code def define_fruit(image): # lots of code def handle_probability(image): # lots of code

Slide 6

Slide 6 text

Solution is Build Classifiers with ML (supervised learning)

Slide 7

Slide 7 text

Supervised Learning Recipe Collect Training Data Train Classifier Make Predictions

Slide 8

Slide 8 text

1. Linear Regression 2. Logistic Regression 3. Decision Tree 4. SVM 5. Naive Bayes 6. KNN 7. K-Means 8. Random Forest 9. Dimensionality Reduction Algorithms 10. Gradient Boost & Adaboost Tons of machine learning algorithms

Slide 9

Slide 9 text

Can these algorithms scale?

Slide 10

Slide 10 text

● To understand Neural Networks you need to understand good Math ● To run Neural Networks at scale you need costly GPUs ● To Train Neural Net you need to have lot of training data ● And Perfect model requires lot of reiteration Neural Networks: the scalable solution

Slide 11

Slide 11 text

I want something quick!!! What should I do?

Slide 12

Slide 12 text

Google Cloud Shell

Slide 13

Slide 13 text

Detect Objects, Faces, and Landmarks in Images with the Cloud Vision API

Slide 14

Slide 14 text

Proficient Entity and Sentiment Analysis with the Natural Language API

Slide 15

Slide 15 text

Speech to Text Transcription with the Cloud Speech API

Slide 16

Slide 16 text

Your Choice!

Slide 17

Slide 17 text

Q/A

Slide 18

Slide 18 text

Thanks