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About This Course
Have you ever looked at the email spam folder and wondered how the spam mails are sorted out? The question has arisen in the mind, if you give Siri a voice command of a song, how does it play immediately?
You must have understood by now, I am talking about machine learning! About which Bill Gates said, “A big breakthrough in machine learning will be equal to ten Microsofts.”
Machine learning is widely used in almost all types of apps these days. For example, the use of machine learning in the world of AI including image recognition, data mining, expert systems, natural language processing and computer engineering science is undeniable. So needless to say, machine learning is going to be the most in-demand field of work in the near future!
If you are a website or app developer, if you are interested in data science, above all if you want to make your professional life more technologically advanced, then based on your needs, we have brought Interactive Cares “Machine Learning” course. Apart from the basic understanding of machine learning, this course will give you a complete understanding of how to advance your career in machine learning.
BUET Research Assistant Masum Hasan is staying as our instructor. Apart from being proficient in Java, Python, C++, he is also working as a researcher in Natural Language Processing. In 2018, he completed Deep Learning Internship from Gage Technology Inc. and Research and Development Internship from Rev Systems. He was the co-founder of Bizzy Limited and was appointed as the Chief Executive Officer for about 9 months. Masum Hasan completed his B.Sc in Computer Science from BUET in 2018.
Course Curriculum
Module 1
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Cool Machine Learning Projects-1
00:00 -
Course Outline
00:00 -
Demystifying Neural Network-1
00:00 -
Digit Recognition Using Logic Gates-1
00:00 -
Making Logic Gates With Neurons-1.
00:00 -
Not Gate Exercise Answer-1
00:00 -
More Complex Neurons-1
00:00 -
Matrix-1
00:00 -
Matrix Operations With Numpy And Introduction To Google Colab-1
00:00 -
Simplifying Neurons With Matrix-1
00:00 -
Layers-1
00:00 -
Neural Network Layer By Layer-1
00:00
Module 2
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Training A Neural Network-1
00:00 -
Loss Function-1
00:00 -
Gradient Descent, Learning Rate, Backpropagation-1
00:00 -
Train-Test Split-1
00:00
Module 3
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Simple Nn With Pytorch-1
00:00 -
Where To Go From Here-1
00:00
Material Includes
- Pre-recorded sessions
- Reading materials
- Quizzes for Self-Assessment
- Practice Materials
- Lifetime access to the sessions
What I will learn?
- Artificial Intelligence: motivation, possibilities
- What is Machine Learning
- Standard Machine Learning Practices
- Neural Networks
- Gradient Descent
- Backpropagation
- Computer Vision
- Building our image classifier
- Natural Language Processing
- Building our Gender classifier from name using LSTM
- Where to go next: courses, tutorials, books
Target Audience
- People who are interested in Artificial Intelligence, Data Science, Big Data, Data Mining
- Those who are ML Practitioner, ML Hobbyist & ML Beginners
- People who are passionate about software development
- People who are in Technology Field or interested in
- People who know even one programing language