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Artificial Intelligence and Machine Learning for Business: The Ultimate Guide to Use Data Science for Business Through Applied Artificial Intelligence. Includes Big Data and Data Mining for Business

Artificial Intelligence and Machine Learning for Business: The Ultimate Guide to Use Data Science for Business Through Applied Artificial Intelligence. Includes Big Data and Data Mining for Business

          
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About the Book

Are you a new business owner? Or an entrepreneur looking to catch up to the big companies in your industrial sector?
If you want to understand and master the fundamentals and importance of data science technologies to kick start your business or take it to the next level, then keep reading.


Thanks to the smart and savvy customer of today, the competition to gain new customers while retaining the existing customers is fierce. As a result, companies are increasingly relying upon cutting edge technologies such as big data analytics, data mining technology, machine learning, and artificial intelligence technology to gain an edge over the competition.Today, machine learning and artificial intelligence have given rise to sophisticated machines that can study human behavior and activity to identify underlying human behavioral patterns and precisely predict what products and services consumers are interested in. Businesses with an eye on the future are gradually turning into technology companies under the façade of their intended business model. It is getting increasingly challenging for traditional businesses to retain their customers without adopting one or more of the cutting-edge technology explained in this book. Those entrepreneurs and business executives who have a sound understanding of the current challenges and status of their business will be primed to make informed decisions to meet the challenges head-on and improve their bottom line.


  • Receive overarching guidance on how you can adopt any and all of the Data Science technologies in your business model to accelerate your growth rate.
  • Learn how researchers are breaking the boundaries of data science to mimic human intelligence in machines.
  • Learn the data science lifecycle in such extensive detail that you will be fully prepared to initiate and complete a data science implementation project in your business.
  • Learn all about the historical development to the current explosion in this field of Big Data Analytics and how it differs data visualization techniques.
  • Dig deep into the data mining process, the benefits of using data mining technology, the challenges facing the data mining technology and learn about some data mining tools that you can leverage for your business.
  • Gain an in-depth understanding of various machine learning algorithms do assess the best Machine learning algorithm applicable to your business model.
  • Learn the very important concept of data science and machine learning Decision Trees, applicable to small and large businesses across the industrial spectrum, explained thoroughly using real-life examples for ease of understanding.
  • Master the concept of sales and marketing funnel along with the tools available for sales funnel analytics in the market today.
  • Deep dive into the concept of personalized marketing, predictive analytics, customer analytics, and exploratory data analysis presented with details on how you can make sense out of all your customer behavioral data.


This book is filled with real-life examples to help you understand the nitty-gritty of all the concepts as well as names and description of multiple tools that you can further explore and selectively implement in your business to reap the benefits of these cutting-edge technologies.


Would You Like to Know More?


Get This Book Today to get access to Artificial Intelligence and Machine Learning power.



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Product Details
  • ISBN-13: 9781914067136
  • Publisher: Smart Online Ltd
  • Publisher Imprint: Smart Creative Publishing
  • Height: 229 mm
  • No of Pages: 122
  • Spine Width: 7 mm
  • Width: 152 mm
  • ISBN-10: 1914067134
  • Publisher Date: 13 Oct 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 177 gr


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