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Python for Data Science: A step-by-step Python Programming Guide to Master Big Data, Analysis, Machine Learning, and Artificial Intelligence
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About Python For Data Science: A Step-by-step Python
Are you a new business owner? Or an entrepreneur looking to catch up to the big companies in your industrial sector? Do you want to find new solutions for complex decisions and maybe automate the entire process? Don't worry: background in coding language is not required! This is the book you need to understand and master the fundamentals and importance of data science technologies to kick start your business or take it to the next level. Thanks to the smart and savvy customers of today, the competition to gain new customers while retaining 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. This is where the treasure trove of knowledge from this book will help you take an exciting new turn on your business journey and compete with the titans of the Silicon Valley. Do you found only complicated books? Don't worry You will find an easy-to-follow guide with the complex concepts explained easily. Some of the highlights of the book include: Learn the nuances of “12 of the most popular machine learning algorithms”, in a very easy to understand language that requires no background in Python coding language Learn about the foundational machine learning algorithms namely, supervised, unsupervised, semi-supervised, and reinforcement machine learning algorithms Explicit list of all built-in Python functions, methods, and keywords that can be used to easily develop and run advanced codes Learn how Python programming is being used in the development and testing of software programs and machine learning algorithms to solve real-world problems Learn all about big data right from the historical development to the current explosion in this field Dig deep into the data mining process, the benefits of using data mining technology, the challenges facing the data mining technology Deep dive into the functioning of Scikit-Learn library along with the pre-requisites required to develop a machine learning model using the Scikit-Learn library and many more... This book is filled with real-life examples to help you understand the nitty-gritty of all the concepts as well as names and descriptions of multiple tools that you can further explore and selectively implement in your business to reap the benefits of these cutting-edge technologies. Remember knowledge is power, and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices. This is a must-have Python guide, and with this book, you can boost your knowledge and master big data and analytics with this easy-to-follow technique. Scroll up and hit that BUY BUTTON!
