Data Science
New to Data Science? Read the Data Science article
Data science is a growing field. Want to learn the popular python programming language to do data mining, this is the book to grab.
Learn to scale your data science projects from comfort of your development laptop to production scale on the Google and Amazon Clouds. Learn Python for Data Science. Setup Google Cloud Datastore, Firebase, and DynamoDB. Use Neo4j and Open Refine in your workflow.
What do Atari games, schedule planning and self-piloted drones have in common? Find the answer in this book!
Want to quickly build dashboards to get insight from your data, but don't want to spend on expensive software? Do you need a data-driven app that helps your business? Do you have a general interest in web development, but don't know were to start? Shiny can do this and more for you. This book helps you get started to get your work done.
- Natural Language Processing For HackersLearn to build awesome apps that can understand peopleGeorge-Bogdan Ivanov
Understand the whole process of what is Natural Language Processing, not just bits and pieces. Build practical application, with real-world data. Crawl, clean, build models, fine-tune and deploy.
- R for PhotobiologyTheory and recipes for common calculationsPedro J. Aphalo, T. Matthew Robson, and Titta Kotilainen
Photobiology is the branch of science that studies the interactions of living organisms with visible and ultraviolet radiation. This book first presents the theory behind calculations related to research in photobiology and describes how to use R as a tool for carrying out these calculations.
- Praxisbuch InformationsmanagementWissen im Unternehmen teilen. Guter Umgang mit Dokumenten, E-Mails, Aufgaben und MeetingsWolf Steinbrecher and Jan Fischbach
Wir haben nicht zu wenige, sondern zu viele Informationen. Das ist das Neue unseres Zeitalters. Modernes Informationsmanagement hat deshalb als erste Herausforderung: Wie organisieren wir das Vergessen? Server und E-Mail-Fächer quellen über, ToDo-Listen werden immer länger. Eine strukturierte Vorgehensweise, mit diesem Problem umzugehen, gibt es bislang nicht. Die 2. Herausforderung für den Umgang mit Informationen: Wie schaffen wir den Übergang von einer Einzelkämpferkultur zu einer Kooperationskultur? Wer Informationen braucht, hat oft keinen Zugriff darauf. Auch im 21. Jahrhundert organisieren wir die Verwaltung von Dokumenten und Aufgaben oft noch in abgeschotteten Silos. Ein hoher unproduktiver Synchronisationsaufwand in Form interner E-Mails, Telefonaten und Sitzungen ist die Folge. Das Buch schlägt den Übergang zu einem Denken in Vorgängen vor. Daraus ergeben sich Lösungen für beide Fragestellungen. Denn Kern der Wertschöpfung und Weiterentwicklung eines Unternehmens ist das Abschließen von Vorgängen. Organisiert man die Verwaltung von Dokumenten und E-Mails nach dieser Logik, kann man den Zugriff der Teams auf ihre Vorgänge einfach organisieren. Und auch das Aussondern nicht mehr benötigter Dokumente macht keine Umstände mehr.
- Design of Experiments and Observational StudiesAn Introduction to Design, Causal Inference ,and Analysis Using RNathan Taback
This book teaches you to design, analyze, and draw meaningful conclusions from experiments and observational studies. Experiments such as A/B testing and observational data obtained by scraping the web, are commonly encountered in data science. Many examples are also included from the sciences and social sciences.
A neural network simulation from 1974, based on Marr's Model of Cerebellar Cortex.
Python is one of the top 3 tools that Data Scientists use. One of the tools in their arsenal is the Pandas library. This tool is popular because it gives you so much functionality out of the box. In addition, you can use all the power of Python to make the hard stuff easy!
- Apache Spark & GeodataLearn to use Apache Spark (with PySpark) for Big Data GeoAnalytics of OpenStreetMap and other Geospatial DataShoaib Burq, Dr. Kashif Rasul, and Zaeem Burq
Learn to use Apache Spark for Analyzing OpenStreetMap and other Geospatial Data
- Power BI: The Real FAQPeter Doomen
A visual, hands-on guide to Microsoft's Power BI Desktop. In no time you will be up and running, creating powerful visualisations from data gathered everywhere.
- Sovereign debt rating: alternative to rating agenciesJesus Armand Calejero
Ya lo dijo Viviane Reding, comisaria europea de justicia, en julio de 2011: Europa no puede permitir que tres empresas privadas estadounidenses la destrocen. Desde 2010, términos como prima de riesgo, rating, solvencia, bonos a 10 años, etc. se han convertido en un miembro más de nuestra cotidianidad. Sin embargo, para el público general estos términos, aunque usados de forma habitual, son profanos
- Genetic Algorithms with PythonClinton Sheppard
Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.
Want a quick start way of generating those reports you've been asked for about the performance of your FutureLearn course? Or maybe fancy the idea of pulling together a simple dashboard to review course progress? This recipe book should get you started...
