Apply Natural Language Processing (NLP) with Python

Natural Language Processing (NLP) is a very interesting field associated with AI and is at the forefront of many useful applications like a chatbot. Knowledge of NLP is considered a necessity for those pursuing a career in AI. This course covers both the theory as well as the applications of NLP. Case studies are explained along with a walkthrough of the codes for a better understanding of the subject.

Requirements

Understanding of Python and basics of machine learning

Who this course is for:

Data Scientists, Python Programmers, ML Practitioners, IT Managers managing data science projects

Python developers interested in learning how to use Natural Language Processing

Click here to access this course for free

 Mathematics & Statistics for Machine Learning

These concepts will help you to lay a strong foundation to build a thriving career in artificial intelligence.

This course teaches you the concepts mathematics and statistics but from an application perspective. It’s one thing to know about the concepts but it is another matter to understand the application of those concepts. Without this understanding, deploying and utilizing machine learning will always remain challenging.

You will learn concepts like measures of central tendency vs dispersion, hypothesis testing, population vs sample, outliers and many interesting concepts. You will also gain insights into gradient decent and mathematics behind many algorithms.

Requirements

No prior experience is required. We will start from the very basics.

Who this course is for:

Data Scientists, Python Programmers, ML Practitioners, IT Managers managing data science projects

Click here to access this course for free