Deep Learning For Business With Python
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Deep Learning for Business with Python
Leverage Deep Learning for Business Analysis - with Python! Deep Learning for Business With Python takes you on a gentle, fun and unhurried journey to building your own deep neural network models for business use in Python. It demystifies deep learning by taking a how-to approach through a series of business case studies. Using plain language, it offers a simple, intuitive, practical, non-mathematical, easy to follow guide to the most successful ideas, outstanding techniques and usable solutions available using Python. QUICK AND EASY: Deep Learning for Business With Python offers the ideal introduction to deep learning for business analysis. It is designed to be accessible. It will teach you, in simple and easy-to-understand terms, how to take advantage of deep learning to enhance business outcomes using Python. NO EXPERIENCE?: I'm assuming you never did like linear algebra, don't want to see things derived, dislike complicated computer code, and you're here because you want to see how to use deep neural networks for business problems explained in plain language, and try them out for yourself. THIS BOOK IS FOR YOU IF YOU WANT: Explanations rather than mathematical derivation Real world applications that make sense. Illustrations to deepen your understanding. Worked examples you can easily follow and immediately implement. Ideas you can actually use and try on your own data. TAKE THE SHORTCUT: Through a simple to follow process you will learn how to build deep neural network models for business problems using Python. Once you have mastered the process, it will be easy for you to translate your knowledge into your own powerful business applications. Each chapter covers, step by step, a different aspect of deep neural networks. You get your hands dirty as you work through some challenging real world business issues. YOU'LL LEARN HOW TO: Unleash the power of Deep Neural Networks for classifying Insurance Claims. Develop hands on solutions to predict product yield. Design successful applications for modeling customer churn. Master techniques for efficient classification in peer to peer marketplaces. Deploy deep neural networks to predict crash injury severity. Adopt winning solutions to forecast property value. Everything you need to get started is contained within this book. Deep Learning for Business with Python is your very own hands on practical, tactical, easy to follow guide to mastery. Buy this book today, your next big breakthrough using deep neural networks is only a page away!
Combining Machine Learning and Business
In today's rapidly advancing digital era, the application of machine learning in various business aspects has become a crucial key in driving innovation and success. "Combining Machine Learning and Business" is designed to provide deep insights into how the integration of machine learning and business strategy can bring about significant transformation. This book not only elaborates on concepts and theories but further takes the reader on an applied research journey that has been undertaken. The author of this book, Yusep Maulana, has spent months conducting in-depth research on the application of machine learning technology in business, with a particular focus on case studies in Switzerland and the Netherlands. Through hands-on experience and direct collaboration with business practitioners in both countries, Yusep has managed to gather valuable data and insights on how machine learning can be integrated into business processes to enhance efficiency, innovation, and competitive advantage. This book presents the results of that research in an accessible way to readers, whether they are academics, business practitioners, students, or anyone with an interest in the field of machine learning and its application in the business world. It is hoped that readers will gain a broader and more applied understanding of the potential and challenges in combining machine learning with business strategy.
Artificial Intelligence and Machine Learning in Business: Strategies for Digital Transformation
Author: Ravi Mandliya Dr. Rahul Kumar
language: en
Publisher: DeepMisti Publication
Release Date: 2025-01-18
Artificial Intelligence (AI) and Machine Learning (ML) are no longer the technologies of tomorrow—they are the driving forces of today’s digital transformation. Across industries, businesses are leveraging these powerful tools to optimize operations, deliver personalized customer experiences, and gain a competitive edge. Yet, the path to harnessing AI and ML effectively is riddled with challenges, from strategic integration to ethical considerations. "Artificial Intelligence and Machine Learning in Business: Strategies for Digital Transformation" is designed to bridge the gap between technical innovation and practical application. This book provides business leaders, strategists, and technology enthusiasts with a roadmap to understand, implement, and scale AI and ML initiatives in the context of modern business environments. The pages ahead delve into: • The fundamentals of AI and ML and their relevance to business strategy. • Case studies that showcase successful digital transformations across various industries. • Frameworks for identifying opportunities where AI and ML can drive value. • Guidance on navigating ethical concerns and ensuring responsible AI use. • Techniques for fostering organizational readiness and talent development. The goal of this book is not just to demystify AI and ML but to empower readers to see them as integral tools for driving innovation and achieving measurable outcomes. By focusing on real- world applications, we aim to provide insights that resonate with both technical teams and decision-makers, fostering collaboration across the enterprise. In a rapidly changing digital landscape, businesses must adapt or risk being left behind. AI and ML offer not only the means to adapt but also the opportunity to lead. This book serves as a companion for those ready to embark on this transformative journey, offering strategies that are both visionary and actionable Authors