Learn AI with Python: Explore Machine Learning and Deep Learning Techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras

Gaurav Leekha is a Deep Learning researcher. He has 7 years of academic experience of teaching technical courses along with 5+ years of technical content creation as a freelancer on variety of topics related to Machine Learning, Deep Learning, Artificial Intelligence, and Web Development Technologies. He has authored a few research papers published in renowned journals. He is also the reviewer of prominent journals and has been the technical reviewer for various online courses. He has also earned multiple certifications in the field of machine learning and deep learning.  Outside work, Gaurav likes to cook food for his family, play with his eight-year-old son and practice vipassana meditation.

Artificial Intelligence has existed for a long time and proven to be a disruptive force in the modern world where everything is driven by data and automation. From newspapers to TV channels, the hype around AI these days is ubiquitous and due to a huge improvement in the field of AI, it along with its subfields-Machine Learning and Deep Learning-has become a buzzword in recent years.

AI is used extensively across many fields, such as robotics, object detection, image recognition, speech recognition, self-driving vehicles, humanoid robots, recommender system, chatbots, Virtual personal assistants, and so on. The primary goal of this book is to let you explore some real-world scenarios and understand where and which algorithms to use in each context. This exciting recipe-based book also contain functional codes written in Python.