What you'll learn:
- You will learn the core concepts in Machine learning and Deep Learning
- How to code and access data stored in a cloud environment
- You will learn the core algorithms in ML: Linear Regression, Logistic Regression, Decision Tree, Random Forest
- You will also learn about unsupervised learning
- What is Explainer AI and why its important
- You will master deep learning concepts and algorithms
- What is a tensor and how it is helpful in deep learning
- What are the linear algebra concepts relevant to Machine Learning and Deep Learning
- How to go about a ML project
- Python programming (for those who don't know python)
- What is AutoML and how to use Vertex AI to deploy Machine learning algorithms
- Unsupervised deep learning algorithms
Course Description
Welcome to our comprehensive course on Machine Learning and Deep Learning. This course is designed to provide you with a robust foundation in both fields, starting from the basics and advancing to more complex topics. Whether you are a beginner or looking to deepen your knowledge, this course will equip you with the essential skills and understanding needed to excel in these rapidly evolving areas.
This course covers the concepts of machine learning and deep learning as well as the application of these concepts using case studies and examples, along with a walk through of the python codes.
A) Machine Learning
Simple and multiple linear regression
Logistic regression
Decision tree, Random forest and XG boost
Unsupervised algorithms
Principal Component Analysis (PCA)
Exploratory data analysis (EDA)
B) Linear Algebra in Machine Learning
C) Deep Learning
Tensors
Activation function
Convex Optimization
Neural Networks
Unsupervised Deep learning algorithms like GAN(Generative Adversarial Networks_
D) Explainable AI
E) AutoML using Google Vertex
F) Machine Learning Interview Prep
Python programming is also covered for the benefit of those who are new to python and those who want to refresh some of the topics in python.
This course is taught by an industry veteran, who brings his vast experiences and practical perspectives into the program.
