Data Science is the technology of making raw data useful. According to the Internet experts, 2.5 quintillion of data is generated on Internet every day. The world is in need of brilliant Data Scientists to turn this raw data into actionable information. Data Science is in practice in almost all the industries around the world. Health care industry uses Data Science to analyse treatment methods, diagnose diseases, effectiveness of medicines etc. Popular shopping brands use it to study their customer’s buying pattern and improve sales. Financial Industry saves millions of dollars by making use of data and the list goes on.
Machine Learning automates processes however it still needs a human intervention to improve the algorithm. A better version of Machine Learning is “Deep learning”. This model of AI uses multi-layered structure of Neural Networks to produce accurate results. The output is refined when it passes through each layer to produce an accurate end result.
Google launched a user-friendly framework called “Tensor flow” to make the process of creating Neural Networks more systematic. Tensor flow works on Python language. It includes numerous libraries for numerical computation. Such concepts and technologies have created a paradigm shift in almost all the sectors. Chatbot, another example of Artificial Intelligence programmed to communicate like humans. Artificial Intelligence is being applied in all sectors and are producing overwhelming results.
Why Should I learn Artificial Intelligence?
According to experts, there will be 2.3 million new job opportunities in the realm of AI and Machine Learning by 2021. So an Artificial Intelligence Course Online ensures a reliable and interesting career for you. “Data Scientists” and “Machine Learning engineers” are the most in-demand profiles. Our Artificial Intelligence Course Online is specifically designed to help you take up leading roles in the rapidly growing AI industry. Training is provided by experts who are passionate about the evolving concepts in the industry and chase the new happenings to stay updated.
CHAPTER 1 : INTRODUCTION & BASICS OF STATISTICS
CHAPTER 2 : DATA PRE-PROCESSING
CHAPTER 3 : PYTHON
CHAPTER 4 : MACHINE LEARNING
CHAPTER 5 : OPEN-CV
CHAPTER 6 : NATURAL LANGUAGE PROCESSING (NLP)
CHAPTER 7 : DEEP LEARNING AND NEURAL NETWORKS