Abhishek Singh

A searing, human portrayal of Krishna, the god of all gods, awaits you in A Journey Within. Journey along through his pastimes that have swayed the ages - the final confrontation between the fire of man's consuming greed to conquer all, and the supreme power of the Divine Spirit.

A Journey Within

Krishna

Namaha - Stories From The Land Of Gods And Goddesses

Krishna. Un viaggio interiore

Saurabh Agarwal

This comic book is a must-read for every child. A new Indian superhero is here, and this time, it is a female superhero, Dabung Girl. She is a fearless hero, who has an elastic body as her superpower. The imagination, creativity, and fun continues throughout the comic. This comic book inspires children to find their inner superheroes. Naina is facing a difficult situation. Her parents have fixed her marriage at an age when she should be attending school and pursuing her interests. She has a dream of becoming India’s fastest runner someday. Will Naina’s friends and Dabung Girl be able to save her and give wings to her dreams? Why do millions of children love reading Dabung Girl comics / graphic novels? ★ She inspires them to learn, take action, and break stereotypes. ★ Meticulously researched and expertly written, this book is packed with vivid, carefully created artwork, illuminating infographics, and insightfully curated dialogues that make the readers think. ♥ "I wanted my daughter to read things that inspire her to strive for success, that fuel her imagination and nurture her creative spirit! I am thankful to Dabung Girl for giving her a superhero she deserves!" – A caring mother. ♥ Apart from winning hearts, Dabung Girl is also winning several awards. Dabung Girl is also the winner of the best emerging comic book series for children at the prestigious CBAM Awards 2021. Who are the authors of this story? Saurabh Agarwal - Dabung Girl has been created by an internationally recognized life skills educator, Saurabh Agarwal. He brings in his knowledge from Harvard University and has worked in the education sector for many years. Abhishek Singh - A global storyteller and an ex-management consultant with over a decade of experience across health, communications, media, and social sectors.

Superhero comic book for kids (English graphic novel for children)

Dabung Girl and giving Wings to Dreams

Karthik Ramasubramanian

Shrey Shivam

Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud. By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. What You Will LearnIdentify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning Who This Book Is ForData scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.

Work with Protected Enterprise Data Using Open Source Frameworks

Building an Enterprise Chatbot

Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data. All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. For every machine learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All the images are available in color and hi-res as part of the code download. This new paradigm of teaching machine learning will bring about a radical change in perception for many of those who think this subject is difficult to learn. Though theory sometimes looks difficult, especially when there is heavy mathematics involved, the seamless flow from the theoretical aspects to example-driven learning provided in this book makes it easy for someone to connect the dots.. What You'll Learn Use the model building process flow Apply theoretical aspects of machine learning Review industry-based cae studies Understand ML algorithms using R Build machine learning models using Apache Hadoop and Spark Who This Book is For Data scientists, data science professionals and researchers in academia who want to understand the nuances of machine learning approaches/algorithms along with ways to see them in practice using R. The book will also benefit the readers who want to understand the technology behind implementing a scalable machine learning model using Apache Hadoop, Hive, Pig and Spark.

Machine Learning Using R

Puneet Khanna

This text is a comprehensive revision tool for trainees preparing for examinations in anaesthesiology. Presented in question and answer format, the book provides a selection of 50 long and short cases in line with current curricula. Each case presents a different topic covering anaesthesia associated with a range of different disorders in all systems of the body, and in different sectors of the population. Cases cover both routine and more complicated procedures in common and less common disorders. The text is further enhanced by more than 60 photographs and diagrams to assist learning and revision. Key points Comprehensive revision tool for anaesthesiology trainees preparing for examinations Presents 50 long and short cases, in question and answer format Covers anaesthesia for many different disorders and procedures Clinical photographs and diagrams further enhance learning

Long and Short Cases in Anesthesiology

Vulnerability analysis, also known as vulnerability assessment, is a process that defines, identifies, and classifies the security holes, or vulnerabilities, in a computer, network, or application. In addition, vulnerability analysis can forecast the effectiveness of proposed countermeasures and evaluate their actual effectiveness after they are put into use. Vulnerability Analysis and Defense for the Internet provides packet captures, flow charts and pseudo code, which enable a user to identify if an application/protocol is vulnerable. This edited volume also includes case studies that discuss the latest exploits.

Vulnerability Analysis and Defense for the Internet

Attacks take place everyday with computers connected to the internet, because of worms, viruses or due to vulnerable software. These attacks result in a loss of millions of dollars to businesses across the world. Identifying Malicious Code through Reverse Engineering provides information on reverse engineering and concepts that can be used to identify the malicious patterns in vulnerable software. The malicious patterns are used to develop signatures to prevent vulnerability and block worms or viruses. This book also includes the latest exploits through various case studies. Identifying Malicious Code through Reverse Engineering is designed for professionals composed of practitioners and researchers writing signatures to prevent virus and software vulnerabilities. This book is also suitable for advanced-level students in computer science and engineering studying information security, as a secondary textbook or reference.

Identifying Malicious Code Through Reverse Engineering

Zohaib Hasan

This book is designed for absolute beginners with elementary knowledge of Python language. Regular Expressions are considered as a tough topic and usually they are not covered in syllabus in much detail. Mostly, a chapter is given on this topic in books. But here, a complete book is dedicated. This book covers Regular Expression in detail with plenty of examples covering password validation, email ID validation, string manipulations etc. and their step by step analysis. The examples are presented in such a way that one can feel like coding only by reading the codes itself. The book is written in a way to give stress free environment.

Learn RegEx Like Never Before

Simplifying Regular Expression Using Python

Syngress

Jennifer Davis

Dale Liu

Stephanie Miller

Mark Lucas

A firewall is as good as its policies and the security of its VPN connections. The latest generation of firewalls offers a dizzying array of powerful options; they key to success is to write concise policies that provide the appropriate level of access while maximizing security. This book covers the leading firewall products: Cisco PIX, Check Point NGX, Microsoft ISA Server, Juniper’s NetScreen Firewall, and SonicWall. It describes in plain English what features can be controlled by a policy, and walks the reader through the steps for writing the policy to fit the objective. Because of their vulnerability and their complexity, VPN policies are covered in more depth with numerous tips for troubleshooting remote connections. · The only book that focuses on creating policies that apply to multiple products. · Included is a bonus chapter on using Ethereal, the most popular protocol analyzer, to monitor and analyze network traffic. · Shows what features can be controlled by a policy, and walks you through the steps for writing the policy to fit the objective at hand

Firewall Policies and VPN Configurations

This amazing comic book that is a must read for every child, teacher and parent. Chintu's sister, Seema, has been missing for six months. Dabung Girl, along with the rescue team, goes on an exciting journey to the city to search for Seema. Will they be able to find her? This story is centered around child trafficking and protecting children from it. This comic book features India's favorite superhero, Dabung Girl! – who, through engaging stories, builds understanding around social issues. Dabung Girl inspires children to learn, take action, and break stereotypes. Dabung Girl is ready to fight societal evils until they are wiped out! Thousands of young readers have loved Dabung Girl stories. And remember, when the going gets tough, #DabungGirl always shows up! The current Pandemic scenario has exacerbated child protection issues. And we must act decisively to protect the children. Our goal is to empower children with information on their rights as well as to make them aware of the resources at their disposal to prevent and fight such heinous crimes. The book has been designed in knowledge partnership with Kailash Satyarthi Children's Foundation. The content has been developed by leveraging life skills education research from Harvard University and is in alignment with the United Nations Sustainable Development Goals (UN SDG 2030). About the Authors: Saurabh Agarwal: Saurabh is a Harvard and IIT educated life skills educator and has conducted hundreds of experiential learning workshops with children. Abhishek Singh: A global storyteller and an ex-management consultant with over a decade of experience across health, communications, media, and social sectors.

Comic Book for Children - Child Protection Edition

Dabung Girl and A Lost Friend

This book is inspired by the Machine Learning Model Building Process Flow, which provides the reader the ability to understand a ML algorithm and apply the entire process of building a ML model from the raw data. This new paradigm of teaching Machine Learning will bring about a radical change in perception for many of those who think this subject is difficult to learn. Though theory sometimes looks difficult, especially when there is heavy mathematics involved, the seamless flow from the theoretical aspects to example-driven learning provided in Blockchain and Capitalism makes it easy for someone to connect the dots. For every Machine Learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. In the end, readers will learn some of the latest technological advancements in building a scalable machine learning model with Big Data. Who This Book is For: Data scientists, data science professionals and researchers in academia who want to understand the nuances of Machine learning approaches/algorithms along with ways to see them in practice using R. The book will also benefit the readers who want to understand the technology behind implementing a scalable machine learning model using Apache Hadoop, Hive, Pig and Spark. What you will learn: 1. ML model building process flow2. Theoretical aspects of Machine Learning3. Industry based Case-Study4. Example based understanding of ML algorithm using R5. Building ML models using Apache Hadoop and Spark

Abhishek Singh

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