Lecture 1: Machine Learning and Artificial Intelligence

Gain a simple understanding of Machine Learning and AI at a high level

Lecture 2: Bacis Machine Learning Concepts and Processes

Understand Machine Learning techniques at a high level

Lecture 3: Classification of Machine Learning Methods

Understand the concept, essence and mainstream technology of cloud native

Lecture 4: Development history of Machine Learning

Understand the early history of Machine Learning and AI techniques

Quiz

Test for the whole chapter and get your certification

Lecture 1: Perceptron

Understand the perceptron algorithm

Lecture 2: KNN (K-nearest Neighbors)

Understand the KNN algorithm

Lecture 3: Naïve Bayes

Understand the Naïve Bayes algorithm

Lecture 4: Decision Tree

Understand the Decision Tree algorithm

Lecture 5: Hierarchical Clustering

Understand the Hierarchichal Clustering algorithm

Lecture 6: K-means Clustering

Understand the K-Means Clustering algorithm

Lecture 7: Hands-on (lab) section

Try out some basic Machine Learning algorithms hands-on

Quiz

Test for the whole chapter and get your certification

Lecture 1: Neural Networks: Basic Concepts

Understand Neural Networks at a high level

Lecture 2: Neural Networks: Structure

Understand the architecture of Neural Networks at a high level

Lecture 3: Neural Networks: Optimization

Understand optimization algorithms that are used with Neural Networks

Lecture 4: Deep Learning: Basic Concepts

Understand the general ideas behind so-called "Deep Learning"

Lecture5: Convolutional Neural Networks and their Applications

Understand the applications of CNNs, one of the most common types of Neural Network

Lecture 6: Recurrent Neural Networks and their Applications

Understand the applications of RNNs

Lecture 7: Hands-on practice

Gain hands-on practice with Neural Networks

Quiz

Test for the whole chapter and get your certification

Lecture 1: Statistical Language Model

Understand statistical language models

Lecture 2: Word2Vec

Understand the Word2Vec model

Lecture 3: Transformer

Understand the Transformer model

Lecture 4: BERT

Understand the BERT language model

Lecture 5: Sentiment Analysis

Understand the basics of sentiment analysis

Lecture 6: Chatbots

Understand the basics of intelligent chatbots

Lecture 7: Machine Translation

Understand the basics of Machine Translation

Quiz

Test for the whole chapter and get your certification

Lecture 1: Architecture and Working Principles

Understand how TensorFlow works at a high level

Lecture 2: Basic Syntax

Understand TensorFlow's grammar and syntax

Lecture 3: Development Process

Understand how to set up TensorFlow and begin writing code

Lecture 4: Development history of Machine Learning

Understand the basics of Neural Network model development

Quiz

Test for the whole chapter and get your certification

Lecture 1: Introduction to PAI

Understand what PAI is and what it can do

Lecture 2: Visual (Studio) Development With PAI

Understand how to use PAI's visual development interface

Lecture 3: Notebook Development With PAI

Understand how to use PAI's Jupyter notebook interface

Lecture 4: Application: Image Classification

See how PAI can be used to classify images

Lecture 5: Application: Sentiment Analysis

See how PAI can be used to build a sentiment analysis tool

Lecture 6: Application: Product Recommendations

See how PAI can be used to build recommender systems

Quiz

Test for the whole chapter and get your certification