Course Outline
Data Visualization
Overview
Using MatPlot Lib
Working with Seaborn
Key types of plots
Exploratory Analysis using Seaborn
Acquiring & Preparing Data
Content Acquisition Overview
Working with Beautiful Soup
Acquiring data using Rest Based APIs
Data Cleaning & Wrangling using Pandas
Missing Values and Outlier
Cleansing Twitter Data
Performing Twitter Sentiment Analysis
Introduction to Deep Learning
What is Deep Learning?
Relationship between Deep Learning and Machine Learning
Deep Learning Use cases
Concepts and Terms
How to implement Deep Learning?
Various Libraries, Pros & Cons
Artificial Neural Network
Introduction to Neural Networks
Introduction to Perceptron
Neural Network Activation Functions
Basic Neural Nets
Concepts
Course Outline :: Artificial Intelligence
TensorFlow API
What is TensorFlow?
Installing TensorFlow
TensorFlow Graphs
Variables and Placeholders
Activation Functions
Convolutional Neural Networks (CNN)
CNN History
Understanding CNNs
CNN Application
Interactive Data exploration using DataLab
Spinning up Cloud DataLab
Experiencing Datalab notebooks
Exploring Google Cloud Storage
Leveraging relational data with Google Cloud SQL
Reading and writing streaming Data with Google BigTable
Querying Data from Google BigQuery
Making Google API Calls from notebooks
CloudML: Scalable Models on GCP
Why Cloud ML?
Running TensorFlow model in Local mode
Porting TensorFlow models to GCP
Deploying Models in Production
Model Predictions
Conversational AI
Intro to ChatBots
Key options available
Building ChatBot
Hands-on Exercise using DialogFlow AP
Programme scope, delivery arrangements and suitability are confirmed during enquiry.