A software module has been developed that forms the basis of a virtual laboratory workshop and consists of two computer applications that use the methods of intelligent analysis of biomedical data ...for an example of the possibility of predicting a disease based on the proposed symptoms of a patient and determining the likelihood of cardiovascular disease. The developed virtual laboratory practice can be used in teaching the block of biomedical disciplines and includes a list of laboratory works that help to acquire practical skills in bioanalytical work and programming skills in Python.
As a result of the analysis of scientific literature, different views on the explanation of Internet marketing strategies are noticed. The author believed that understanding the goals of these ...strategies would allow to comprehend their essence and understand the methods mastered on the application of complex technologies and services of the Internet. It has been substantiated that the use of these technologies and services in marketing activities enhances the competitiveness of companies.
Spell checkers are created to control and correct mistakes in a user document. They are based on the comparison of every word against the spelling dictionary and on the use of correct spelling ...detection algorithms. The article dwells on technologies of creating spell checker, as well as methods of teaching this technology. Spell checker by Peter Norvig has been studied. Modifications for this program necessary to process Ukrainian texts have been defined. Approach to implementation of language model, that is creating spelling dictionary, based on the Ukrainian Brown Corpus has been suggested. Peculiarities of designing a regular expression for distinguishing words in Ukrainian text have been defined. Texts containing Ukrainian subtitles, created within the volunteer translation project «To Be Announced», have been used as a means of test material for the spell checker. The program that processes this text material in order to check spelling has been described and the obtained results have been analysed. The obtained resulted were concluded to be correct, which encourages further research.
The aim of the author of this article is to show the users of Geographical Information Systems how to present the distortions in a simple way. The intention of the author is also to popularize the ...knowledge in the scope of map projections and to inform the users of the maps that, despite all the advanced modern tools, an elimination of the problem, connected with the map projections and cartographical distortions occurring in them, has failed so far.
The author presents a brief overview of the measures in the scope of distortions and methods of their presentation. It is also shown how the users can generate the maps, presenting a distortion by themselves. It is much easier to perform this type of visualization with the help of “matplotlib library”, basically everyone can compile such a map.
Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python Key Features * * A step by step approach to creating interactive plots with Bokeh * Go from nstallation ...all the way to deploying your very own Bokeh application * Work with a real time datasets to practice and create your very own plots and applications Book Description Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free. This book gets you up to speed with Bokeh - a popular Python library for interactive data visualization. The book starts out by helping you understand how Bokeh works internally and how you can set up and install the package in your local machine. You then use a real world data set which uses stock data from Kaggle to create interactive and visually stunning plots. You will also learn how to leverage Bokeh using some advanced concepts such as plotting with spatial and geo data. Finally you will use all the concepts that you have learned in the previous chapters to create your very own Bokeh application from scratch. By the end of the book you will be able to create your very own Bokeh application. You will have gone through a step by step process that starts with understanding what Bokeh actually is and ends with building your very own Bokeh application filled with interactive and visually aesthetic plots. What you will learn * * Installing Bokeh and understanding its key concepts * Creating plots using glyphs, the fundamental building blocks of Bokeh * Creating plots using different data structures like NumPy and Pandas * Using layouts and widgets to visually enhance your plots and add a layer of interactivity * Building and hosting applications on the Bokeh server * Creating advanced plots using spatial data Who this book is for This book is well suited for data scientists and data analysts who want to perform interactive data visualization on their web browsers using Bokeh. Some exposure to Python programming will be helpful, but prior experience with Bokeh is not required.
Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn ...machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart-it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand. - Python data science-manipulating data and data visualization - Data cleansing - Understanding Machine learning algorithms - Supervised learning algorithms - Unsupervised learning algorithms - Deploying machine learning models Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level.
This book teaches you to leverage deep learning models in performing various NLP tasks along with showcasing the best practices in dealing with the NLP challenges. The book equips you with practical ...knowledge to implement deep learning in your linguistic applications using NLTk and Python's popular deep learning library, TensorFlow.
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