Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, AnacondaKey Features-Use Anaconda to find solutions for clustering, classification, and linear regression-Analyze your data efficiently with the most powerful data science stack-Use the Anaconda cloud to store, share, and discover projects and librariesBook DescriptionAnaconda is an open source platform that brings together t...

"Raspberry Pi Programming Guide" is a text that gives the reader a bit of insight into this form of technology. It is European based and is just making a debut in North America so many are curious about it and what exactly this technology can do. The aim that the author has with this text is to highlight the main functions of Raspberry Pi and how it can be beneficial to the consumer in the long run. The text is extremely informative and to the point and it is simple to read. The great thin...

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automa...

Key FeaturesBook DescriptionIf you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.What you will learnAnalyze the matplotlib code base and its internalsRerender visualized data on the fly based on changes in the user interfaceTake adva...

Learn to solve challenging data science problems by building powerful machine learning models using PythonAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideThis practical tutorial tackles real-world computing problems through a rigorous and effective approachBuild state-of-the-art models and develop personalized recommendations to perform machine learning at scal...

Step by Step guide filled with real world practical examples.Key FeaturesGet your first experience with data analysis with one of the most powerful types of analysis—time series.Find patterns in your data and predict the future pattern based on historical data.Learn the statistics, theory, and implementation of Time Series methods using this example-rich guideBook DescriptionTime Series Analysis allows us to analyze data whic...

Acquire and analyze data from all corners of the social web with PythonKey Features\[\*\] Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide\[\*\] Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data\[\*\] This is your one-stop solution to fetching, storing, analyzing, and visualizing social media dataBook Description

Learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniquesKey Features\[\*\] Dive deeper into data mining with Python – don’t be complacent, sharpen your skills!\[\*\] From the most common elements of data mining to cutting-edge techniques, we’ve got you covered for any data-related challenge\[\*\]Become a more fluent and confident Python data-analyst, in full control of ...

This book constitutes the refereed proceedings of the 22nd International Conference on DNA Computing and Molecular Programming, DNA 22, held Munich, Germany, in September 16The 11 full papers presented together with 10 invited and tutorial talks were carefully selected from 55 submissionsResearch in DNA computing and molecular programming draws together mathematics, computer science, physics, chemistry, biology, and nanotechnology to address the analysis, design, and synthe...

This book constitutes revised selected papers from the 12th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2016, held in Aarhus, Denmark, in August 2016.The 9 full papers presented in this volume were carefully reviewed and selected from 19 submissions. This year papers were solicited into three tracks: Distributed and Mobile, Experiments and Applications, and Wireless and Geometry.

Use scikit-learn to apply machine learning to real-world problemsKey Features\[\*\] Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks\[\*\] Learn how to build and evaluate performance of efficient models using scikit-learn\[\*\] Practical guide to master your basics and learn from real life applications of machine learning...

Implementing the ArcGIS Pro technique to design accurate, user friendly maps and making appropriate cartographic decisionsKey Features- Build visually stunning and useful maps;- Understand the cartographic workflows and the decisions you must take before creating the map;- Learn to create appropriate map elements and layout designs-Use the ArcGIS Online's Smart Mapping technique to create clear webmapsBook Description