Machine Learning kompakt und Blick in das Kapitel “Neuronale Netze und Deep Learning”
Nachdem ich bereits Erfahrung als Buchautor (hier und hier) gesammelt habe, hatte ich kürzlich die Gelegenheit als Technical Reviewer ein sehr spannendes Buchprojekt zu unterstützen. Das Buch Machine Learning kompakt: Alles, was Sie wissen müssen, geschrieben von Andriy Burkov, fand ich dabei dermaßen interessant, dass ich es gerne im Folgenden kurz vorstellen werde:
Machine Learning kompakt von Andriy Burkov ist ein hervorragend geschriebenes Buch und ein Muss für jeden, der sich für Machine Learning interessiert.
Andriy Burkov gelang ein ausgewogenes Verhältnis zwischen der Mathematik, intuitiven Darstellungen und verständlichen Erklärungen zu finden. Dieses Buch wird Neulingen auf dem Gebiet als gründliche Einführung zu Machine Learning zugutekommen. Darüber hinaus dient das Buch Entwicklern als perfekte Ergänzung zu Code-intensiver Literatur, da hier die zugrunde liegenden Konzepte beleuchtet werden.
Microsoft Azure Machine Learning Studio
Machine Learning kompakt eignet sich außerdem als Lehrbuch für einen allgemeinen Kurs zu Machine Learning. Ich wünschte, ein solches Buch gäbe es, als ich studiert habe!
Protip: viele der im Buch vorgestellten Machine-Learning-Algorithmen können Sie einfach und bequem in Microsoft Azure Machine Learning Studio selbst ausprobieren: https://aka.ms/mlst
These last four years have been the most inspiring of my career, what a ride it has been! It’s been a great opportunity and an amazing experience, joining this unique Seattle start-up as one of the first employees in Tableau’s Frankfurt office. Watching our DACH team growing to 120+ people is far more than I had imagined at the beginning, it is simply amazing!
As for my next phase, I’ll take on a strategist role to a leading cloud & AI company to create an impact on how the digital age refines our life.
I’m very grateful to have worked alongside talented people both in Tableau and in our greater #datafam community — people who are brilliant and freakishly-friendly. I had fantastic mentors, Nate Vogel, and Andy Cotgreave, who supported me tremendously and shared their wisdom with me. I have many lifetime memories and made lots of great friends. I wish all of you at Tableau all the best for your next chapter, joining the Salesforce Ohana.
Last year I started lecturing a Data Analytics course at university (as part of an MBA program). In the meanwhile, I was refining the list of books that I highly recommend to read. Three of these books form the Data Journey!
What is the Data Journey?
The Data Journey is a human-focused approach to understand the evolution of data storytelling, the power of visual analytics, and the impact of data from real-world business scenarios.
1. Info We Trust: How to Inspire the World with Data
We start our Data Journey with the book Info We Trust. This book examines all parts of the data storytelling lifecycle across disciplines. The use of marginalia and hand-drawn illustrations give you both simple lessons to take away, and insights into where to find out more. The book is full of magnificent references that inspire further reading.
Now it’s time for hands-on. Visual Analytics with Tableau covers everything you need to get started with Tableau (students get Tableau for free!). The book guides you from the first steps of connecting to data, creating different types of charts, and adding calculation fields to more advanced features such as table calculations, forecasts, and clusters, as well as R, Python, and MATLAB integration for sophisticated statistical modeling.
3. The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
Back to business (as this course is designed for an MBA program). We close our Data Journey canon with The Big Book of Dashboards. This is a comprehensive reference book with real-world solutions for business dashboards and detailed analysis of do’s and don’ts. The examples in this book are well-organized and categorized by industry and functional business areas.
[Update 10 July 2019]: Do you need more inspiration?
#MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time
Because vizzing alone is only half the fun, you should not miss the #MakeoverMonday book. Eva Murray and Andy Kriebel are icons in the data visualization community (read the interview!) and they have curated the thousands of visualizations from the #MakeoverMonday project into a practical guide that will take your design and data communication skills to the next level!
