Intro
Preface
Acknowledgments
Contents
Part I Artificial Intelligence Algorithms
1 Introduction to Artificial Intelligence
1.1 Introduction
1.2 History of Artificial Intelligence
1.3 Types of Artificial Intelligence Algorithms
1.4 Organization of the Book
References
2 Regression
2.1 Linear Regression
2.2 Decision Tree Regression
2.3 Random Forests
2.4 Neural Network
2.5 Improving Regression Performance
2.5.1 Boxplot
2.5.2 Remove Outlier
2.5.3 Remove NA
2.5.4 Feature Importance
Exercises
References
3 Classification

3.1 Logistic Regression
3.2 Decision Tree and Random Forest
3.3 Neural Network
3.4 Support Vector Machines
3.4.1 Important Hyperparameters
3.5 Naive Bayes
3.6 Improving Classification Performance
Exercises
References
4 Clustering
4.1 Introduction to Clustering
4.2 K-means
4.3 The Elbow Method
Exercises
References
5 Time Series
5.1 Introduction to Time Series
5.2 Stationarity
5.3 Level, Trend, and Seasonality
5.4 Exponential Smoothing
5.4.1 Simple Exponential Smoothing
5.4.2 Double Exponential Smoothing (Holt's Exponential Smoothing)

5.4.3 Triple Exponential Smoothing (Holt-Winters Exponential Smoothing)
5.5 Moving Average Smoothing
5.6 Autoregression
5.7 Moving Average Process
5.8 SARIMA
5.9 ARCH/GARCH
Exercises
References
6 Convolutional Neural Networks
6.1 The Convolution Operation
6.2 Pooling
6.3 Flattening
6.4 Building a CNN
6.5 CNN Architectures
6.5.1 VGG16
6.5.2 InceptionNet
6.5.3 ResNet
6.6 Finetuning
6.7 Other Tasks That Use CNNs
6.7.1 Object Detection
6.7.2 Semantic Segmentation
Exercises
References
7 Text Mining
7.1 Preparing the Data

7.2 Texts for Classification
7.3 Vectorize
7.4 TF-IDF
7.5 Web Scraping
7.6 Tokenization
7.7 Part of Speech Tagging
7.8 Stemming and Lemmatization
Exercises
Reference
8 Chatbot, Speech, and NLP
8.1 Speech to Text
8.2 Preparing the Data for Chatbot
8.2.1 Download the Data
8.2.2 Reading the Data from the Files
8.2.3 Preparing Data for Seq2Seq Model
8.3 Defining the Encoder-Decoder Model
8.4 Training the Model
8.5 Defining Inference Models
8.6 Talking with Our Chatbot
Exercises
References

Part II Applications of Artificial Intelligence in Business Management
9 AI in Human Resource Management
9.1 Introduction to Human Resource Management
9.2 Artificial Intelligence in Human Resources
9.3 Applications of AI in Human Resources
9.3.1 Salary Prediction
9.3.2 Recruitment
9.3.3 Course Recommendation
9.3.4 Employee Attrition Prediction
Exercises
References
10 AI in Sales
10.1 Introduction to Sales
10.1.1 The Sales Cycle
10.2 Artificial Intelligence in Sales
10.3 Applications of AI in Sales
10.3.1 Lead Scoring