A Romance with Data Science. How to Monetize Big Data
How to squeeze everything out of your data? How to make data-driven decisions? How to organize data analysis (data science) within a company? Who to hire as an analyst? How to take machine learning and artificial intelligence projects to the...
top level? Roman Zyikov knows the answers to these and many other questions because he has been involved in data analysis for almost twenty years. Roman's track record includes building his own company from scratch with offices in Europe and South America, which became a leader in the application of artificial intelligence (AI) in the Russian market. Additionally, the author of the book established analytics from scratch at Ozon. This book is intended for thoughtful readers who want to try their hand at data analysis and create services based on it. It will be useful to you if you are a manager who wants to set tasks for analytics and manage it. If you are an investor, it will help you better understand the potential of a startup. Those who are "building" their startup will find recommendations here on how to choose suitable technologies and assemble a team. And for beginners, the book will help broaden their horizons and start applying practices they hadn't thought about before, which will set them apart among professionals in such a challenging and rapidly changing field.
How to squeeze everything out of your data? How to make data-driven decisions? How to organize data analysis (data science) within a company? Who to hire as an analyst? How to take machine learning and artificial intelligence projects to the top level? Roman Zyikov knows the answers to these and many other questions because he has been involved in data analysis for almost twenty years. Roman's track record includes building his own company from scratch with offices in Europe and South America, which became a leader in the application of artificial intelligence (AI) in the Russian market. Additionally, the author of the book established analytics from scratch at Ozon. This book is intended for thoughtful readers who want to try their hand at data analysis and create services based on it. It will be useful to you if you are a manager who wants to set tasks for analytics and manage it. If you are an investor, it will help you better understand the potential of a startup. Those who are "building" their startup will find recommendations here on how to choose suitable technologies and assemble a team. And for beginners, the book will help broaden their horizons and start applying practices they hadn't thought about before, which will set them apart among professionals in such a challenging and rapidly changing field.
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