Artificial Intelligence and Machin Learning Fundamentals
Artificial Intelligence and Machin Learning Fundamentals
Deskripsi
Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the course, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore’s law.
Tujuan
- Understand the importance, principles, and fields of AI
- Implement basic Artificial Intelligence concepts with Python
- Apply regression and classification concepts to real-world problems
- Perform predictive analysis using decision trees and random forests
- Carry out clustering using the k-means and mean shift algorithms
- Understand the fundamentals of deep learning via practical examples
Materi
Lesson 1: Principles of Artificial Intelligence
- Fields and Applications of Artifcial Intelligence
- AI Tools and Learning Models
- The Role of Python in Artifcial Intelligence
- Python for Game AI
Lesson 2: AI with Search Techniques and Games
- Heuristics
- Pathfnding with the A* Algorithm
- Game AI with the Minmax Algorithm and Alpha-Beta Pruning
Lesson 3: Regression
- Linear Regression with One Variable
- Linear Regression with Multiple Variables
- Polynomial and Support Vector Regression
Lesson 4: Classification
- The Fundamentals of Classifcation
- Classifcation with Support Vector Machines
Lesson 5: Using Trees for Predictive Analysis
- Introduction to Decision Trees
- Random Forest Classifer
Lesson 6: Clustering
- Introduction to Clustering
- The k-means Algorithm
- Mean Shift Algorithm
Lesson 7: Deep Learning with Neural Networks
- TensorFlow for Python
- Introduction to Neural Networks
- Deep Learning
Metode
Pre-test Presentasi Diskusi Studi Kasus Post-test
Fasilitas
Training Kit (Tas, Hand out, Flashdisk, Block note, Pulpen dll) Sertifikat Souvenir 2x Coffee Break, 1x Makan Siang harga Rp. 8.000.000,- / Participant / Non Residential (Running dengan kuota minimal 3 peserta)