Machine Learning and Deep Learning LIVE - Course Overview
Machine Learning and Deep Learning are upcoming fields with a lot of career prospects. A
lot of companies are looking for trained professionals in these areas.
In this course, you will get a solid foundation in the fields of Machine Learning and Deep
Learning and will also work on numerous exercises and projects, all without having to
actually commute to class.
The course covers the core fundamentals, some advanced concepts as well as hands-
As part of this course, there are 9 finished projects along with many homework projects.
The instructors are highly experienced people and the course is designed to make you
What will students learn in Machine Learning and Deep Learning Course?
You will gain an important foundation in Python. You will also learn important concepts of
Machine Learning and Deep Learning like Supervised Learning (Scikit – learn, OpenCV, K
Nearest Neighbours, etc.), Unsupervised Learning (Clustering Algorithms, K-Means and
Mean Shift), Deep Learning( Neural Networks, Keras, Tensorflow,, etc.), Deep Computer
Vision( CNN, VGG, YOLO, etc.), Reinforcement Learning( OpenAI, Gym, Deep Q-
Learning, etc.), Natural Language Processing( Deep NLP, RNN, Sentiment Analysis, etc.),
and many projects.
What are the future prospects after taking Machine Learning and Deep Learning Course?
Machine Learning is currently one of the most rewarding fields in the industry. For students
who aspire to enter this field, there are many options they can consider.
They are developers who work on building specialized machines and systems that
can learn on their and take decisions.
They work along with Data Scientists to co-develop Machine Learning Solutions.
They use various scientific methods, processes and algorithms to extract knowledge
and information from structured and unstructured data.
They work on programing tasks related to Artificial Intelligence and develop complex
Natural Language Processing (NLP) is a field which deals with finding a connection
between natural human languages and computer systems. NLP Scientists study this
connection and try to find ways to make computers understand human languages.
There are a large number of related opportunities available in the field of Machine Learning
and Deep Learning.