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This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader;
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discipline without actually understanding data science. With this updated second edition, you'll learn how many of the most fundamental data science;
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Vergelijkbare producten zoals Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and An
Data Analysis from Scratch. 2 Books in 1;
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, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.;
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analysts, and others who want to learn programming with R and Python from a data science perspective.;
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through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data;
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with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python;
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insights from raw data Book DescriptionPractical Data Science with Python teaches you core data science concepts, with real-world and realistic;
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will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before;
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. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch;
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Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and;
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with Python Machine Learning from scratch or extend your knowledge in Data Science, this is a must-have guide. Machine Learning is changing;
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Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book;
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your code with Nsight and Visual Profiler Apply GPU programming to datascience problems Build a GPU-based deep neuralnetwork from scratch;
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learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python;
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Is For This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed;
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learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the;
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Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from;
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built-in data structures Who this book is forThis book is for everyone who wants to learn Python from scratch, as well as experienced;
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Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python;
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of developing applications with Python and deploy your first data application Take your first steps in Python programming by understanding and using;
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science or a developer who wants to explore the applications of data science from scratch and analyze data in Jupyter using Python libraries, then;
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common Python libraries as they experience firsthand the challenges of dealing with data at scale. They'll discover how Python allows them to;
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