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cleaning and transformation, numerical simulation, statistical modeling, and machine learning. Learning Jupyter 5 will help you get to grips with;
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Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This;
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simulation, statistical modeling, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its;
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learning Explore the different functionalities and features of a Jupyter Notebook Discover how Python libraries are used with Jupyter for data;
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-scale data sets, using Jupyter as the master controller. It is not uncommon for a real-world data set to fail to be easily managed. The set may;
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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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Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. Key Features Leverage the Jupyter Notebook for;
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Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle Key Features Create and share;
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Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine learning concepts like SVM, KNN classifiers;
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Get started with Python for data analysis and numerical computing in the Jupyter notebook About This Book * Learn the basics;
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performance of your models For readers with an intermediate knowledge of Python, Jupyter notebooks, and machine learning.;
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This fully revised second edition of Machine Learning with TensorFlow teaches you the foundational concepts of machine learning and how to;
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fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This;
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fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book;
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individual snippets to 40 large scripts and full implementation case studies, you'll use the interactive IPython interpreter with code in Jupyter;
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Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and;
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Summer Learning Headstart, Grade 4 to 5 is een boek van Lumos Learning;
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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 3. 4. 2 Specialized learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 3. 5 Examples;
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When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model;
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Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the;
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CAT - 5 Management of People and Systems is een boek van Bpp Learning Media;
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The Shanghai Maths Project Year 5 Learning is a pupil textbook containing the Year 5 maths facts and full pictorial glossary to enable;
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. You'll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python's popular data visualization charting;
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begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Pythons popular data visualization charting library;
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Deep learning is one of today's hottest fields. This approach to machine learning is achieving breakthrough results in some of today's;
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