Ankit Dixit's Books

India Social

HOW SOCIAL MEDIA IS LEADING THE CHARGE AND CHANGING THE COUNTRY

By: Ankit Lal

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India Social

HOW SOCIAL MEDIA IS LEADING THE CHARGE AND CHANGING THE COUNTRY

By: Ankit Lal

`As a pioneer in the age when social media has become India?s new political pulpit and argumentative townsquare, Ankit Lal is perfectly poised to chronicle India?s transformational tryst with Twitter and Facebook and whatever comes next.? ? SHEKHAR GUPTA, senior journalist and recipient of the Padma Bhushan `This book is a must-read for anyone who wants to understand how social media has shaped India in the past decade.? ? ARVIND KEJRIWAL, chief minister, Delhi In India Social, social media activist and influencer Ankit Lal takes a deep dive into India?s biggest social media campaigns and analyses how, in just the last ten years, platforms like Facebook, Twitter, YouTube and WhatsApp have changed the way Indians engage with politics, popular culture and social revolution. From the 2008 Mumbai terror attacks, which unleashed the potential of the medium, to the 2012 #IndiaAgainstCorruption protests; from the rage-filled Justice for Nirbhaya movement to the citizen-driven fight for a free Internet with the #NetNeutrality campaign; from the controversial #AIBRoast to WhatsApp becoming the primary tool used to spread the agenda and ideology of major political parties ? India Social unravels, for the first time, the behind-the-scenes stories of the most influential social media movements of the past decade. Incisive and insightful, India Social is the story of how they began, why they spread and the way they have reshaped democratic life in India.

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Page Count

264

Publisher

Hachette India

Published Date

ISBN 10

9351952134

ISBN 13

9789351952138

Complete SEX Education guide

Recommended by doctors

By: Dr Ankit Chandra

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Complete SEX Education guide

Recommended by doctors

By: Dr Ankit Chandra

Sex education (sexual health) should be based on scientific knowledge, freely and easily accessible to everyone and to be comprehensive. We often underestimate the benefits of sex education (sexual health) and every individual in our society has a different or wrong belief about it. It’s the utmost need for every child to have a safe childhood. Unfortunately, even adults of our society lack basic knowledge about sex education. “Little knowledge or false knowledge is always dangerous” This book is made to answer the curious minds, who are searching for answers on the internet/digital media. This book is useful for school and college students, teachers, parents, guardians, NGOs, health professionals.

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205

Publisher

Ankit Chandra

Published Date

ISBN 10

1645870138

ISBN 13

9781645870135

Ensemble Machine Learning

By: Ankit Dixit

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Ensemble Machine Learning

By: Ankit Dixit

An effective guide to using ensemble techniques to enhance machine learning models Key Features Learn how to maximize popular machine learning algorithms such as random forests, decision trees, AdaBoost, K-nearest neighbor, and more Get a practical approach to building efficient machine learning models using ensemble techniques with real-world use cases Implement concepts such as boosting, bagging, and stacking ensemble methods to improve your model prediction accuracy Book Description Ensembling is a technique of combining two or more similar or dissimilar machine learning algorithms to create a model that delivers superior prediction power. This book will show you how you can use many weak algorithms to make a strong predictive model. This book contains Python code for different machine learning algorithms so that you can easily understand and implement it in your own systems. This book covers different machine learning algorithms that are widely used in the practical world to make predictions and classifications. It addresses different aspects of a prediction framework, such as data pre-processing, model training, validation of the model, and more. You will gain knowledge of different machine learning aspects such as bagging (decision trees and random forests), Boosting (Ada-boost) and stacking (a combination of bagging and boosting algorithms). Then you'll learn how to implement them by building ensemble models using TensorFlow and Python libraries such as scikit-learn and NumPy. As machine learning touches almost every field of the digital world, you'll see how these algorithms can be used in different applications such as computer vision, speech recognition, making recommendations, grouping and document classification, fitting regression on data, and more. By the end of this book, you'll understand how to combine machine learning algorithms to work behind the scenes and reduce challenges and common problems. What you will learn -Understand why bagging improves classification and regression performance -Get to grips with implementing AdaBoost and different variants of this algorithm -See the bootstrap method and its application to bagging -Perform regression on Boston housing data using scikit-learn and NumPy -Know how to use Random forest for IRIS data classification -Get to grips with the classification of sonar dataset using KNN, Perceptron, and Logistic Regression -Discover how to improve prediction accuracy by fine-tuning the model parameters -Master the analysis of a trained predictive model for over-fitting/under-fitting cases Who this book is for This book is for data scientists, machine learning practitioners, and deep learning enthusiasts who want to implement ensemble techniques and make a deep dive into the world of machine learning algorithms. You are expected to understand Python code and have a basic knowledge of probability theories, statistics, and linear algebra.

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438

Published Date

ISBN 10

178829775X

ISBN 13

9781788297752

Hands-On Artificial Intelligence with TensorFlow

Useful Techniques in Machine Learning and Deep Learning for Building Intelligent Applications

By: Amir Ziai,Ankit Dixit

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Hands-On Artificial Intelligence with TensorFlow

Useful Techniques in Machine Learning and Deep Learning for Building Intelligent Applications

By: Amir Ziai,Ankit Dixit

Book Description Artificial Intelligence (AI) is a popular area with an emphasis on creating intelligent machines that can reason, evaluate, and understand the same way as humans. It is used extensively across many fields, such as image recognition, robotics, language processing, healthcare, finance, and more. Hands-On Artificial Intelligence with TensorFlow gives you a rundown of essential AI concepts and their implementation with TensorFlow, also highlighting different approaches to solving AI problems using machine learning and deep learning techniques. In addition to this, the book covers advanced concepts, such as reinforcement learning, generative adversarial networks (GANs), and multimodal learning. Once you have grasped all this, you'll move on to exploring GPU computing and neuromorphic computing, along with the latest trends in quantum computing. You'll work through case studies that will help you examine AI applications in the important areas of computer vision, healthcare, and FinTech, and analyze their datasets. In the concluding chapters, you'll briefly investigate possible developments in AI that we can expect to see in the future. By the end of this book, you will be well-versed with the essential concepts of AI and their implementation using TensorFlow. What you will learn Explore the core concepts of AI and its different approaches Use the TensorFlow framework for smart applications Implement various machine and deep learning algorithms with TensorFlow Design self-learning RL systems and implement generative models Perform GPU computing efficiently using best practices Build enterprise-grade apps for computer vision, NLP, and healthcare Who this book is for Hands-On Artificial Intelligence with TensorFlow is for you if you are a machine learning developer, data scientist, AI researcher, or anyone who wants to build artificial intelligence applications using TensorFlow. You need to have some working knowledge of machine learning to get the most out of this book.

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582

Published Date

ISBN 10

1788998073

ISBN 13

9781788998079

Python

Beginner's Guide to Artificial Intelligence

By: Denis Rothman,Matthew Lamons,Rahul Kumar

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Python

Beginner's Guide to Artificial Intelligence

By: Denis Rothman,Matthew Lamons,Rahul Kumar

Develop real-world applications powered by the latest advances in intelligent systems Key Features Gain real-world contextualization using deep learning problems concerning research and application Get to know the best practices to improve and optimize your machine learning systems and algorithms Design and implement machine intelligence using real-world AI-based examples Book Description This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. You will learn to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open-source Python libraries. Throughout the Learning Path, you'll learn how to develop deep learning applications for machine learning systems. Discover how to attain deep learning programming on GPU in a distributed way. By the end of this Learning Path, you know the fundamentals of AI and have worked through a number of case studies that will help you apply your skills to real-world projects. This Learning Path includes content from the following Packt products: Artificial Intelligence By Example by Denis Rothman Python Deep Learning Projects by Matthew Lamons, Rahul Kumar, and Abhishek Nagaraja Hands-On Artificial Intelligence with TensorFlow by Amir Ziai, Ankit Dixit What you will learn Use adaptive thinking to solve real-life AI case studies Rise beyond being a modern-day factory code worker Understand future AI solutions and adapt quickly to them Master deep neural network implementation using TensorFlow Predict continuous target outcomes using regression analysis Dive deep into textual and social media data using sentiment analysis Who this book is for This Learning Path is for anyone who wants to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. You will learn to extend your machine learning and deep learning knowledge by creating practical AI smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this Learning Path.

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Page Count

676

Published Date

ISBN 10

178995732X

ISBN 13

9781789957327

Book's by Ankit Dixit

India Social

India Social

Complete SEX Education guide

Complete SEX Education guide

Ensemble Machine Learning

Ensemble Machine Learning

Hands-On Artificial Intelligence with TensorFlow

Hands-On Artificial Intelligence with TensorFlow

Python

Python

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