Essentials of Deep Learning and AI:

Essentials of Deep Learning and AI:

Author :

S Soppin

,

M Ramachandra

Publisher:

BPB Publications

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Publisher

BPB Publications
Publication Year 2022
ISBN-13

9789391030353
ISBN-10 9789391030353
Binding

Paperback
Number of Pages 394 Pages
Language (English)
Dimensions (Cms) 19.05 x 2.26 x 23.5

Drives next generation path with latest design techniques and methods in the fields of AI and Deep Learning Description 'Essentials of Deep Learning and AI' curates the essential knowledge of working on deep neural network techniques and advanced machine learning concepts. This book is for those who want to know more about how deep neural networks work and advanced machine learning principles including real-world examples. This book includes implemented code snippets and step-by-step instructions for how to use them. You'll be amazed at how SciKit-Learn, Keras, and TensorFlow are used in AI applications to speed up the learning process and produce superior results. What you will learn ● Learn feature engineering using a variety of autoencoders, CNNs, and LSTMs. ● Get to explore Time Series, Computer Vision and NLP models with insightful examples. ● Dive deeper into Activation and Loss functions with various scenarios. ● Get the experience of Deep Learning and AI across IoT, Telecom, and Health Care. Who this book is for This book targets Machine Learning Engineers, Data Scientists, Data Engineers, Business Intelligence Analysts, and Software Developers who wish to gain a firm grasp on the fundamentals of Deep Learning and Artificial Intelligence. Table of Contents 1. Introduction 2. Supervised Machine Learning 3. System Analysis with Machine Learning/Un-Supervised Learning 4. Feature Engineering 5. Classification, Clustering, Association Rules, and Regression 6. Time Series Analysis 7. Data Cleanup, Characteristics and Feature Selection 8. Ensemble Model Development 9. Design with Deep Learning 10. Design with Multi Layered Perceptron (MLP) 11. Long Short Term Memory Networks 12. Autoencoders 13. Applications of Machine Learning and Deep Learning 14. Emerging and Future Technologies.

S Soppin

Shashidhar Soppin has two decades of experience in the IT industry. At present he is working as an Enterprise Architect in Zeta. Earlier, he has worked as DMTS (Distinguished Member of Technical Staff) with progressive history of defining vision, strategy, and technical roadmap, architecting solutions, recommending new approaches via technology enablement and managing large-scale & complex IT projects as part of Wipro. He has worked on, Multi-Cloud (OpenStack, Azure/AWS), Cloud Native Technologies, AIX-OS, HCI (Hyper Converged Infra), Docker Containers and Kubernetes for microservices-based architectures and in Virtualization domains. His areas of interest include AI/ML, Deep Learning and IoT. He has granted and filed patents on various technologies in his name. He is an avid Author for the OSFY Magazine, Written Articles on Micro-services and Kubernetes, Docker, OpenStack, Storage, Node Red, ML & DL to name few {https://opensourceforu.com/author/shashidharsoppin/}. He has also written articles for Medium.com and Research-gate and also a blogger for “Linux-techi”. He has presented papers in conferences and panel speakers in industry forums. He has worked for various organizations including IBM-ISL, Ness Technologies before joining Wipro. He got certified from Great Learning Institute on Deep Learning Technology, Deep Learning Specialization from Coursera and has various Cloud certifications.

M Ramachandra

Dr. Manjunath Ramachandra has a blend of experience over twenty five years in the verticals of Healthcare, Telecom and consumer electronics spanning the technologies such as signal & Image processing, Artificial intelligence, cloud computing, IoT, wireless communication and quantum computing. He worked for the companies such as Tata Consultancy Services, Royal Philips and was placed in Wipro Limited as principal consultant. He has filed about 90 patents, authored 210 Research papers in international conferences and journals and a book. He was a member of the embedded systems special interest group at NASSCOM. He represented the industry in international standardization bodies such as Wi-Fi Alliance, served as the editor for the regional profiles standard in Digital living network alliance (DLNA) and as the industry liaison officer for the CE-Linux Forum. He has delivered over 24 keynote speeches and conducted over 21 workshop and tutorial sessions. He figures in Marquis Who’s Who 2008 & “2000 outstanding intellectuals of the 21st century”, International Biographical Center, UK. His areas of interest include Deep Learning/ Artificial intelligence, Signal & Image processing and wireless communications.
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