Data Science & Machine Learning

Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data.

AI is a technique, code or algorithm that enables machines to develop, demonstrate and mimic human cognitive behavior or intelligence and hence the name “Artificial Intelligence”. Some of the most successful applications of AI around us can be seen in Robotics, Computer Vision, Virtual Reality, Speech Recognition, Automation, Gaming, and so on…

Artificial Intelligence is constantly pushing the boundaries of what machines are capable of. The main purpose of training real-time smart machines is to use their speed and capability. Most importantly machines can think and perform tasks like humans. Through this course, students will be able to design and develop an advanced AI System.

If you are willing to make your career in the Domain of AI-Machine Learning or Data Science, this course is right for you.

What you will learn?

• Python Programming
• Data Analytics: Numpy, Pandas, Seaborn, Matplotlib, Plotly
• Machine/Deep Learning
• Artificial Intelligence
• Computer Vision
• Natural Language Processing
• Scikit-learn, Keras, Tensorflow, PyTorch