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Financial Managment by Prasanna Chandra

Financial Managment by Prasanna Chandra

₹350

Financial Management: Theory and Practice 8E" by Prasanna Chandra is a comprehensive guide to understanding the principles and practices of financial management. The book covers a wide range of topics, including financial analysis, planning, and decision-making, as well as risk management, capital budgeting, and working capital management. One of the key themes of the book is the importance of financial management in achieving business success. Through real-world examples and case studies, Chandra illustrates how effective financial management can help organizations achieve their goals and maximize shareholder value. Key features of the book include in-depth explanations of financial concepts, practical examples to illustrate key principles, and end-of-chapter exercises to help readers apply their knowledge. The book also includes a detailed discussion of recent developments in the field of financial management, making it a valuable resource for both students and practitioners. Positive reviews of the book praise its clear and concise writing style, as well as its practical approach to financial management. Reviewers have noted that the book is easy to understand and provides valuable insights into the complexities of financial decision-making. Overall, "Financial Management: Theory and Practice 8E" is a must-read for anyone looking to deepen their understanding of financial management and improve their decision-making skills in the business world. With its comprehensive coverage of key concepts and practical examples, this book is sure to be a valuable resource for students and professionals alike.

2 weeks ago
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High performance Cluster Computing

High performance Cluster Computing

₹500

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models

3 weeks ago
Hadoop Operations

Hadoop Operations

₹500

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models

3 weeks ago
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Statistics for Economics by T.R Jain & Vk ohri

Statistics for Economics by T.R Jain & Vk ohri

₹150

The book has been designed topic and subtopic-wise, keeping the students’ needs in mind. The current edition has certain unique features: Each chapter starts with a To Do list. It gives the central idea of the chapter and the way it has been addressed. Each chapter is divided into several sections corresponding to different components of the syllabus. Each chapter is splashed with HOTS. This is to promote clarity of the basics. Focus Zones in each chapter present a crux of the concepts. Blocks in each chapter include matter of special significance. Power Points and Revision Window offer a quick glance of the subject matter. ‘Exercise’ is tuned to the pattern of examination. Answers to important questions focus on the technique of writing. The exercise includes: objective type questions (remembering & understanding based questions), divided into five sections: (a) multiple choice questions, (b) fill in the blanks, (c) true or false, (d) matching the correct statements, (e) ‘very short answer’ objective type questions reason-based questions HOTS & applications analysis & evaluation CBSE questions (with answers or reference to the text for answers) NCERT questions (with hints to answers) miscellaneous and add-on questions (with hints or reference to the text for answers) Dos and Don’ts (at the end of each chapter) should serve as a safeguard against misinterpretation of the concepts. Ability Zone is a uniquely designed section at the end of the chapter. This raises the difficulty level, of course, but should serve as a useful material for the outstanding learners. Solved & Unsolved numericals are given to boost a grip on the subject.

3 weeks ago
Deep work Cal Newport

Deep work Cal Newport

₹250 ₹399
37% off

Deep work is the ability to focus without distraction on a cognitively demanding task. It's a skill that allows you to quickly master complicated information and produce better results in less time. Deep Work will make you better at what you do and provide the sense of true fulfillment that comes from craftsmanship. In short, deep work is like a super power in our increasingly competitive twenty-first century economy. And yet, most people have lost the ability to go deep-spending their days instead in a frantic blur of e-mail and social media, not even realizing there's a better way.In Deep Work, author and professor Cal Newport flips the narrative on impact in a connected age. Instead of arguing distraction is bad, he instead celebrates the power of its opposite. Dividing this book into two parts, he first makes the case that in almost any profession, cultivating a deep work ethic will produce massive benefits. He then presents a rigorous training regimen, presented as a series of four "rules," for transforming your mind and habits to support this skill.1. Work Deeply2. Embrace Boredom3. Quit Social Media4. Drain the ShallowsA mix of cultural criticism and actionable advice, Deep Work takes the reader on a journey through memorable stories-from Carl Jung building a stone tower in the woods to focus his mind, to a social media pioneer buying a round-trip business class ticket to Tokyo to write a book free from distraction in the air-and no-nonsense advice, such as the claim that most serious professionals should quit social media and that you should practice being bored. Deep Work is an indispensable guide to anyone seeking focused success in a distracted world.

3 weeks ago
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The 8th Habit

The 8th Habit

₹1000

Thói quen thứ 8 là câu trả lời cho những ai đang kiếm tìm sự vĩ đại, cho các tổ chức đang phấn đấu đạt những thành tích có ý nghĩa vượt bậc và cho cả cuộc đi tìm Tiếng nói của Nhân loại. Sâu sắc, hấp dẫn, thuyết pục, ra đời đúng thời điểm một cách đáng kinh ngạc, quyển sách tư duy bậc cao này sẽ đưa bạn đến những khả năng vô hạn để tạo ra những giá trị to lớn trong Thời đại lao động Tri thức.Thói quen thứ 8 giúp giải quyết các nghịch lý mà chúng ta thường gặp, chẳng hạn như:- Con người luôn mong muốn có những mối quan hệ tốt đẹp và sự bình an trong tâm hồn, nhưng cũng không muốn từ bỏ lối sống và các thói quen của mình.- Các mối quan hệ được xây dựng dựa trên sự tin cậy, nhưng hầu hết mọi người đều nghĩ về cái “tôi” của mình nhiều hơn – tôi muốn, tôi cần, tôi có quyền.- Các nhà quản trị muốn chi phí thấp nhưng hiệu quả cao, còn nhân viên của họ thì muốn làm ít nhưng nhận nhiều.- Hoạt động của các công ty tuân theo các quy luật kinh tế thị trường; nhưng tổ chức của họ thì vận hành theo các quy luật văn hoá.- Xã hội vận hành theo các giá trị được đa số thừa nhận, nhưng hầu như chúng ta luôn lệ thuộc vào những quy tắc và quy luật không thể phá vỡ của tự nhiên.Thói quen thứ 8 chắc chắn nâng tầm tư duy của chúng ta về chính mình cũng như mục đích sống của bản thân và sứ mạng của tổ chức. Có thể nói rằng, 7 thói quen giúp bạn đạt đến Hiệu quả và thói quen thứ 8 hướng bạn tiến thẳng đến sự vĩ đại.

3 weeks ago
The Ultimate Question

The Ultimate Question

₹2000

CEOs regularly announce ambitious growth targets, then fail to achieve them. The reason? Too many companies are addicted to bad profits. These corporate steroids boost short-term earnings but burn out the employees and alienate customers. They undermine growth by creating legions of detractors - customers who sully the firm's reputation and switch to competitors at the earliest opportunity. Now loyalty expert Fred Reichheld shows how to reverse the equation, turning customers into promoters who generate good profits and true, sustainable growth. The key: one simple question - Would you recommend us to a friend? - that allows companies to track promoters and detractors and produces a clear measure of an organization's performance in its customers' eyes. Analysis shows that on average, increasing the Net Promoter Score (NPS) by a dozen points versus competitors can double a company's growth rate. While easy to grasp, this metric represents a radical change in the way companies manage customer relationships and organize for growth. Rather than relying on notoriously ineffective customer satisfaction surveys, companies can use NPS to measure customer relationships as rigorously as they now measure profits. What's more, NPS finally enables CEOs to hold employees accountable for treating customers right. It clarifies the link between the quality of a company's customer relationships and its growth prospects. Based on extensive research and rich with vivid examples of organizations that have pioneered NPS in practice, The Ultimate Question offers hands-on guidance on how to: Distinguish good profits from bad; Measure NPS and benchmark performance against world-class standards; Quantify the economic value generated by customer word of mouth; Assign accountability for improving customer relationships; Identify core

3 weeks ago
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