Machine Learning is one of the approach of Artificial Intelligence in which Machines become capable of drawing intelligent decisions like humans by learning from its past experiences. In classical methods of Artificial Intelligence, step by step instructions are provided to the machines to solve a problem. Machine Learning combines classical methods of Artificial Intelligence with the knowledge of past to gain human like intelligence.
The book “Introduction to Machine Learning with Python“ has made explanation on Machine Learning with Python from basics to the advanced level so as to assist beginners in building strong foundation and develop practical understanding.
The beginners with zero or little knowledge about Machine Learning can gain insight into this subject from this book. This book explains Machine Learning concepts using real life examples implemented in Python.
The book “Introduction to Machine Learning with Python“ present detailed practice exercises for offering a comprehensive introduction to machine learning techniques along with basics of Python. The book leverages algorithms of machine learning in a unique way of describing real life applications. Though not mandatory, some experience with subject knowledge will fasten the learning process.
About the authors:
Dr. Deepti Chopra has done PhD in the area of Natural Language Processing from Banasthali Vidyapith. Currently, she is working as Associate Professor at JIMS Rohini, Sector 5. Dr. Chopra is an author of five books and two MOOCs. Two of her books have been translated into Chinese and one has been translated into Korean. She has 2 Australian Patents and 1 Indian Patent to her credit. Dr. Chopra has several publications in various International Conferences and journals of repute. Her areas of interest include Artificial Intelligence, Natural Language Processing and Computational Linguistics. Her primary research works involve machine translation, information retrieval, and cognitive computing.
Mr. Roopal Khurana is working as Assistant General Manager at Railtel Corporation of India Ltd., IT Park, Shastri Park, Delhi. Currently, he is working in the field of Data Networking, MPLS Technology. He has done BTech in Computer Science and Engineering from GLA University, Mathura, India. He is a technology enthusiast. Previously, he has worked with companies, such as Orange and Bharti Airtel.
Keywords:
Artificial Intelligence, Computer Science and IT, Machine Learning, Deep Learning, Python Programming, Back propagation, Supervised Learning, Scikit Learn, Unsupervised Learning, Numpy, Decision Trees, Matplotlib, Support Vector Machine, pandas, Neural Network, Logistic Regression, Linear regression, Clustering, Jupyter notebook, Classification.
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