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"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
Chinnasamy A
Big Data Fundamentals
Books by Ramya, Selvan, Kanagaraj Narayanasamy
Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands.
The latest offering from the authors of Artificial Intelligence: Evolution, Ethics
MACHINE LEARNING
Books by Aman Dureja, Vishal Khatri, Ajay Dureja
It's possible that you've picked this up with some initial interest, but aren't quite sure what to expect. In a nutshell, there has never been a more exciting time to learn and use machine learning techniques, and working in the field is only getting more rewarding. If you want to get up-to-speed with some of the more advanced data modeling techniques and gain experience using them to solve challenging problems, this is a good book for you. Ongoing
Beginning Data Science in R, Visualization, and Modelling
Books by Baranitharan, Dileep, Javed Miya
Introduction to R Programming, Data Manipulation, Visualizing Data, Working with Large Datasets, Supervised Learning, Unsupervised Learning, Advanced R Programming
Digital Circuit: Logic and Design
Books by Mr. M Suresh
Number System and Boolean Algebra, Minimization Techniques, Combinational Circuits, Sequential Circuits, Memory Devices
Fundamentals of Internet of Things
Books by Bala Subramanian, Suprakash, Naveen
IoT is emerging as a popular area of research and has piqued the interest of academics and scholars across the world. This book serves as a textbook and a single point of reference for readers looking to delve further into this domain. Written by leading experts in the field, this lucid and comprehensive work provides a clear understanding of the operation and scope of the IoT. Along with the description of the basic outline and technologies associated with th
Electronic Devices and Circuits for Computer Engineers
Books by Suresh Kumar, Prabin Kumar Bera, Pavithra, Manjunath
Electronic Circuit Analysis and Design is intended as a core text in electronics for undergraduate electrical and computer engineering students. The purpose of the second edition of the book is to provide a foundation for analyzing and designing both analog and digital electronic circuits.The majority of electronic circuits today are designed as integrated circuits (ICs), in which the entire circuit is fabricated on a single piece of semiconductor material. Th
An introduction to statistical learning: With Application in Python
Books by Usharani, Sreeprada, Prasanth, Shrivastav
Being a data scientist in the tech industry is one of the most rewarding careers on the planet today. I went and studied actual job descriptions for data scientist roles at tech companies and I distilled those requirements down into the topics that you'll see in this course. Data Science and Machine Learning are really comprehensive. We'll start with a crash course on Python and do a review of some basic statistics and probability, but then we're going to dive
DIGITAL COMMUNICATION SYSTEMS
Books by Nanda Kumar. K, Dr. V. Mahesh Kumar Reddy, S. Priyadarshini
this textbook brings the beginning student right to the forefront of the latest advances in the field, while presenting the fundamentals in a clear, straightforward manner. Students will find better coverage, improved figures and better explanations on cutting-edge material. The "bottom-up" approach allows instructors to cover the material in one course, rather than having separate courses on data communications and networking.
Computer Architecture and Organization
Books by D. John Aravindhar, S. Veena, R. Mohandas
In the First edition of "Computer Architecture," the authors focus on this historic shift, increasing their coverage of multiprocessors and exploring the most effective ways of achieving parallelism as the key to unlocking the power of multiple processor architectures. Additionally, the new edition has expanded and updated coverage of design topics beyond processor performance, including power, reliability, availability, and dependability.
Absolute Beginner Python Programming
Books by Menal Dahiya, Kumar Gaurav, Neetu Anand, Nikita Malik
The goal of this book is to teach you the Python programming language, learning to program the same way we did: by creating simple games. There’s something more exciting about learning to program by writing software that’s fun. And even though the examples are entertaining, you’ll still see some serious programming. we cover all of the fundamental topics you’d expect from an introductory text and then some. In addition, we point out con
Deep Learning and Applications
Books by Shaik Mohammad Rafi, Naveena, Malathi Eswaran
The book you’re holding is another step on the way to making deep learning available to as many people as possible. Deep learning algorithm had always needed a companion course to simultaneously cover fundamentals of deep learning, Deep learning algorithm usage patterns, and deep-learning best practices. This book is my best effort to produce such a course. We wrote it with a focus on making the concepts behind deep learning, and their implementation, as
MACHINE LEARNING AND ALGORITHMS
Books by Srimathi, Muthu Krishnammal, Prakash, Ranjan Kumar Mohapatra
In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, TensorFlow, and Feature engineering. In this book you will also l
Automobile Engineering Fundamentals
Books by Kumaraswamy, Durga Prasad, Rajesh, Mahesh Manohar Bhanushali
The automotive industry is one of the largest and most important industries in the world. Cars, buses, and other engine-based vehicles abound in every country on the planet, and it is continually evolving, with electric cars, hybrids, self-driving vehicles, and so on. Technologies that were once thought to be decades away are now on our roads right now. Engineers, technicians, and managers are constantly needed in the industry, and, often, they com
Building Foundational Engineering
Books by D. S. Vijayan, A. Mohan, D. Parthiban
Foundations provide support for structures, transferring their load to layers of soil or rock that have sufficient bearing capacity and suitable settlement characteristics to support them. There are a very wide range of foundation types suitable for different applications, depending on considerations such as: The nature of the load requiring support, ground conditions, the presence of water, space availability, accessibility and sensitivity to noise and vibrat
Hands on Data Science
Books by Rajaram Jatothu, D. Vijendra Babu, C. Karthikeyan
DATA COMMUNICATIONSAND COMPUTER NETWORKING
Books by R. Ganesan V. Anbarasu S. Deepa
DATA COMMUNICATIONS AND COMPUTER NETWORKING
Books by G. Vamsi Krishna, R. Shankar
This textbook brings the beginning student right to the forefront of the latest advances in the field, while presenting the fundamentals in a clear, straightforward manner. Students will find better coverage, improved figures and better explanations on cutting-edge material. The "bottom-up" approach allows instructors to cover the material in one course, rather than having separate courses on data communications and networking.
Machine Learning for Web
Books by A. Chinnasamy P . Selvakumari I. Juvanna
As a type of artificial intelligence (AI), machine learning uses algorithms to make computers learn without being explicitly programmed. It is a method of data analysis that automates analytical model building. The automated analytical model building makes computers find hidden insight. Likewise, it makes computer programmers change when exposed to new data. At present, machine learning is one of the hottest trends in software development. Many analysts even b
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