Subscribe to the Author "Digital Marketing Legend - Srinidhi Ranganathan on YouTube". Srinidhi brings 500+ Free courses and tutorials on Digital Marketing and Artificial Intelligence (AI) futuristic technologies on YouTube: https://www.youtube.com/channel/UCXP3bY7BbMt1pXK0tPp8G4Q It’s time to think about where the digital marketing world is actually heading. The answer is quite simple and known to you - “Artificial Intelligence”. The power of Artificial Intelligence for digital marketing usage can be compared to a treasure-house of activities and it cannot be measured instantly, at all. Today, the presence of "Artificial Intelligence”(AI) is common in almost every area - such as self-driving cars, machine learning, using your own personal assistants such as Siri, Alexa and others. In 2020, AI continues to take firm steps to become increasingly integral to our world. Digital marketing is indeed one of the most exciting applications for AI. Artificial Intelligence in Digital Marketing (AIDM) plays a role in making life simpler for business organisations that deploy marketing. One can rely on AI development resources and tools to simplify, cut costs, reduce manual labor etc. AI tools that function with neural networks are becoming more and more powerful. They aid in search and analysis of consumer behaviour with big data and information. Despite all these incredible technologies, the Internet seemed like a source of confusion for many. Nevertheless, today sophisticated companies are using artificial intelligence to devise digital marketing plans. Some companies use AI to get at the top of their game or grow ahead by devising brilliant digital marketing strategies— and to maintain that level. AI can save companies from spending too much money on time-bound human resources. It can speed up tasks with minimal effort, reduce your spendings on manual labour - at the same time. This book serves to be a brief insight or a very short compilation of 9 years of research that I conducted on Artificial Intelligence in Digital Marketing (AIDM). It will convey the guided method you can leverage to ‘Enter the Digital Marketing Universe with the Power of Artificial Intelligence’ with Future 1.0 techniques. Nevertheless, AI is not just about chatbots and personal helpers or assistants. You can find various forms of artificial intelligence that enable digital marketers in the field to make increasingly brilliant strategic and marketing decisions. Working on digital marketing with Artificial Intelligence projects require great practice, according to the details and research available, as far as the current scenario is concerned. Artificial intelligence is an amazing and grand asset for your company to simply work wonders. Using digital marketing tactics for AI will help brands offer enhanced customer experience and more efficiently market the brand. In addition, AI digital marketing will change the way we create brands and communicate with clients. So, get ready for Lights. Camera. Action. with Marketing Legend “Srinidhi Ranganathan”.

'This is the most important - and fascinating - book yet written about how the digital age will affect our world' Walter Isaacson, author of Steve Jobs From two leading thinkers, the widely anticipated book that describes a new, hugely connected world of the future, full of challenges and benefits which are ours to meet and harness. The New Digital Age is the product of an unparalleled collaboration: full of the brilliant insights of one of Silicon Valley's great innovators - what Bill Gates was to Microsoft and Steve Jobs was to Apple, Schmidt (along with Larry Page and Sergey Brin) was to Google - and the Director of Google Ideas, Jared Cohen, formerly an advisor to both Secretaries of State Condoleezza Rice and Hillary Clinton. Never before has the future been so vividly and transparently imagined. From technologies that will change lives (information systems that greatly increase productivity, safety and our quality of life, thought-controlled motion technology that can revolutionise medical procedures, and near-perfect translation technology that allows us to have more diversified interactions) to our most important future considerations (curating our online identity and fighting those who would do harm with it) to the widespread political change that will transform the globe (through transformations in conflict, increasingly active and global citizenries, a new wave of cyber-terrorism and states operating simultaneously in the physical and virtual realms) to the ever present threats to our privacy and security, Schmidt and Cohen outline in great detail and scope all the promise and peril awaiting us in the coming decades. A breakthrough book - pragmatic, inspirational and totally fascinating. Whether a government, a business or an individual, we must understand technology if we want to understand the future. 'A brilliant guidebook for the next century . . . Schmidt and Cohen offer a dazzling glimpse into how the new digital revolution is changing our lives' Richard Branson

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

The authors document how four forces--exponential technologies, the DIY innovator, the Technophilanthropist, and the Rising Billion--are conspiring to solve our biggest problems. "Abundance" establishes hard targets for change and lays out a strategic roadmap for governments, industry and entrepreneurs, giving us plenty of reason for optimism.

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.