Unlock the Power of Data Science with Free Courses from Amazon MLU

Unlock the Power of Data Science with Free Courses from Amazon MLU

Table of Contents

1. Introduction to Amazon Machine Learning University
2. Machine Learning Basics
   • What is Machine Learning?
   • Applications of Machine Learning
3. Introduction to the Machine Learning University Platform
   • YouTube Channel
   • Available Courses
4. Course 1: Tabular Data
   • Introduction to Machine Learning
   • Model Evaluation
   • Exploratory Data Analysis
   • K-Nearest Neighbors
   • Using Jupyter Notebook on SageMaker
   • Feature Engineering
   • Base Models
   • Hyperparameter Tuning
   • Introduction to Amazon Web Service SageMaker
5. Course 2: Natural Language Processing
   • Course Introduction
   • Introduction to Machine Learning
   • Machine Learning Applications
   • Learning Approaches (Supervised and Unsupervised)
   • Dealing with Class Imbalance
   • Missing Values
   • Model Evaluation
   • Machine Learning and Text
   • Text Pre-processing
   • Text Vectorization
   • K-Nearest Neighbors
   • Using Jupyter Notebook on SageMaker
   • Tree-based Models
   • Regression Models
   • Model Optimization
   • Regularization
   • Hyperparameter Tuning
   • Neural Networks
   • WORD Vectors
   • Deep Learning
   • Recurrent Neural Networks
   • Gated Recurrent Units
   • Long Short-Term Memory Networks
   • Transformers
   • Single Headed Attention
   • Multi-Headed Attention
6. Course 3: Computer Vision
   • Course Introduction
   • Introduction to Machine Learning
   • Machine Learning Applications
   • Supervised and Unsupervised Learning
   • Dealing with Class Imbalance
   • Underfitting, Overfitting, and Model Evaluation
   • Computer Vision Applications
   • Image Representation
   • Neurons and Activation Functions
   • Neural Network Components and Training
   • Convolution Filter Padding, Stride, and Pooling
   • Using Jupyter Notebooks on SageMaker
   • Computer Vision Datasets
   • Lynette
   • AlexNet
   • Transfer Learning
   • VGG and Batch Normalization
   • ResNet
   • Object Detection Applications
   • Bounding Box and Anchor Box
   • Sliding Window Method and Non-Max Suppression
   • Region-Based Convolutional Neural Network
   • YOLO (You Only Look Once) Model
   • Semantic Segmentation
   • Fully Convolutional Networks
   • Unit
7. Conclusion and Future Courses

🎓 Introduction to Amazon Machine Learning University

Welcome to the Data Professor's YouTube channel. In this video, I, Chanin Nantan Ahmad, an Associate Professor of Bioinformatics, will dive into the topic of "Free Machine Learning Courses provided by Amazon Machine Learning University (MLU)." Amazon Science recently announced that the MLU courses, previously only available to employees, are now accessible to the public via on-demand videos. Let's explore this exciting opportunity further!

🤖 Machine Learning Basics

Before delving into the MLU courses, let's discuss the basics of machine learning. Machine learning can be considered as the brain of artificial intelligence. It empowers AI systems to make intelligent decisions by learning from data. Amazon, being a leader in AI, utilizes machine learning algorithms in various practical applications like Amazon Go, a cashier-less supermarket, which utilizes computer vision and machine learning to automate the shopping experience.

💻 Introduction to the Machine Learning University Platform

The MLU platform is hosted on a YouTube channel called "Machine Learning University." This channel has gained over 4,240 subscribers in a very short span of time. The MLU courses are organized into playlists based on different topics, such as tabular data, natural language processing, and computer vision. Each course is taught by experienced instructors from Amazon Web Services (AWS).

📚 Course 1: Tabular Data

The first course in MLU is focused on handling tabular data. It covers a wide range of topics, starting from an introduction to machine learning to model evaluation. The course also includes lectures on exploratory data analysis, feature engineering, base models, and hyperparameter tuning. By following this course, you will gain a solid understanding of working with tabular data and building machine learning models.

📊 Course 2: Natural Language Processing

The Second course in MLU is dedicated to natural language processing (NLP). It starts with a course introduction and covers machine learning applications, learning approaches (supervised and unsupervised), and dealing with class imbalance. The course also delves into specific NLP techniques, such as text pre-processing, text vectorization, and word embedding. Additionally, it explores neural networks and deep learning models in the context of NLP tasks.

📷 Course 3: Computer Vision

The third course offered by MLU focuses on computer vision. It commences with an introduction to machine learning, machine learning applications, and strategies for handling class imbalance. The course then proceeds to cover essential computer vision concepts, such as image representation, neural networks, convolutional neural networks (CNNs), and object detection. Advanced techniques like transfer learning and semantic segmentation are also explored in this course.

🔮 Conclusion and Future Courses

Currently, MLU offers three comprehensive courses covering tabular data, natural language processing, and computer vision. But the best part is yet to come! Amazon has plans to release nine more courses by the end of the year, ensuring a broader range of topics for aspiring machine learning enthusiasts. Don't miss out on this fantastic opportunity to learn from industry experts. Subscribe to the Machine Learning University channel and embark on your machine learning journey today!

Highlights:

1. Amazon Machine Learning University (MLU) offers free courses accessible to the public.
2. MLU covers diverse topics, including tabular data, natural language processing, and computer vision.
3. The courses are hosted on the Machine Learning University YouTube channel.
4. Experienced instructors from Amazon Web Services (AWS) deliver the courses.
5. MLU plans to release nine additional courses by the end of the year.

FAQ:

Q: Are the courses offered by Amazon Machine Learning University free? A: Yes, all courses provided by Amazon Machine Learning University are free of charge.

Q: Where can I access the courses? A: The courses are available on the Machine Learning University YouTube channel.

Q: Are there prerequisites for taking the courses? A: The courses cater to different skill levels, starting from introductory to advanced. It is recommended to have basic knowledge of machine learning concepts.