Welcome to the tech section of my blog, where I share my thoughts and insights on the latest developments in the world of digital, data, and AI. As someone who is passionate about the transformative power of technology, I believe that staying up to date with the latest trends and innovations is crucial to success in this field.
In this section, you’ll find a wide range of articles and posts on topics such as digital transformation, data privacy, artificial intelligence, and more. I’ll share my perspectives on current events, emerging trends, and the future of technology, with a focus on how these developments will impact businesses, society, and individuals.
Whether you’re a technology professional, business leader, or just someone interested in the world of tech, you’ll find plenty of valuable insights and knowledge in these posts. My goal is to make complex topics accessible and easy to understand so that everyone can benefit from the incredible advances happening in the tech world today.
You can also find a lot of technical product reviews on my Amazon reviews page. These are mostly in German.
So, join me on this journey as we explore the cutting-edge world of digital, data, and AI together, and discover new ways to harness the power of technology for a better tomorrow.
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
From ideas to dashboards: The essential books for mastering your Data Journey, featuring ‚Info We Trust‘, ‚Visual Analytics with Tableau‘, and ‚The Big Book of Dashboards‘.
Today, data is at the core of everything we do, but the journey to mastering it can be overwhelming. 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!
The Data Journey: A Human-Focused Approach to Data Storytelling
The Data Journey is not just about numbers; it’s about understanding the evolution of data, the power of visualization, and how it all connects to real-world business. Here are the books that will guide you on this path:
1. Info We Trust: How to Inspire the World with Data
Begin your Data Journey with a deep dive into data storytelling. Info We Trust explores data lifecycle across disciplines, with inspiring references and hand-drawn illustrations. It’s a must-read for anyone serious about data communication.
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.
2. Visual Analytics with Tableau
Ready for hands-on experience? My book, Visual Analytics with Tableau, provides a step-by-step guide to mastering Tableau, from basic chart creation to advanced statistical modeling. With Tableau available for free to students, there’s no reason not to dive in!
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 a detailed analysis of do’s and don’ts.
This comprehensive reference book offers real-world solutions for business dashboards. It’s a practical guide to understanding do’s and don’ts in data visualization, categorized by industry and functional business areas.
Need More Inspiration for Mastering Data Journey? #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!
The #MakeoverMonday book by Eva Murray and Andy Kriebel is a treasure trove of data visualization insights. It’s a practical guide to enhancing your design and communication skills.
Join the Conversation: Your Recommendations for the #DataJourney
Interested in more insights on data visualization, analytics, and Tableau? Follow me on Twitter and LinkedIn, and let’s continue learning together. And don’t forget to check out my book Visual Analytics with Tableau to take your data journey to the next level!
What other books have inspired you on your data journey? Share your favorite data books in the blog post comments or reply to this tweet:
Joining a Tableau User Group: A fun photo of Tableau #datarockstars
Joining a Tableau User Group (TUG) is more than just participating in a community; it’s a pathway to personal and professional growth. In this post, we’ll explore the five compelling reasons for joining a Tableau User Group and how it can enhance your experience with Tableau. From the moment I started using Tableau at CERN (read about my Tableau experience at CERN here), I realized the importance of community in mastering this robust tool.
1. The Value of Joining a Tableau User Group: Community and Collaboration
The Tableau community is one of the biggest differentiators between Tableau and the rest of the market. It’s not just about technology; it’s about ensuring the larger community is successful with it. I was able to start using Tableau at CERN in just three days, thanks to this passionate community. With a simple Google search, you can get answers to your Tableau questions in seconds. This network of users is committed to helping each other succeed.
2. What Happens at a TUG? Learn, Share, and Network
TUGs offer a variety of activities, ranging from customer speakers demonstrating Tableau usage to hands-on training and competitions. You can learn new tips ’n‘ tricks, share your experiences, and network with other Tableau enthusiasts. Whether you’re facing daily Tableau struggles or looking for new insights, TUGs are welcoming platforms for collaboration and learning. Plus, there’s often pizza and beverages to enjoy!
3. Getting Involved: How to Connect with Your Local Tableau User Group
Getting involved in a TUG is easy. Follow @Tableau and @xlth on Twitter, keep an eye on relevant hashtags, and don’t hesitate to reach out if you need guidance. You can also become a speaker, sharing your data journey or work experience. Check the Tableau events page or contact your Tableau account manager to find a TUG near you.
4. Bring a Friend and Build Connections
TUGs are not only professional gatherings; they’re social and networking events too. You can bring a friend for support or make new friends easily within the community. Engage in social projects, participate in hashtags like #MakeoverMonday, and discover more events like Data+Women or The Tableau Fringe Festival. The possibilities for connection and collaboration are endless.
5. Embrace the Community Spirit
Don’t hesitate to join the Tableau community. It’s a group of interesting, knowledgeable people all using the same tool and facing the same challenges. There’s much to learn and many people to meet. Join our Tableau User Groups and become a part of this thriving community.
Stay Connected: Follow Me for More Insights
The experiences we’ve shared in the Tableau community have shaped us, and I’m grateful for every connection and collaboration. If you’re interested in diving deeper into data visualization, don’t miss my book, Visual Analytics with Tableau. It’s designed to help you master the art of data visualization with Tableau, no matter your experience level. 📚 Explore „Visual Analytics with Tableau“(Amazon) and let’s turn data into insights together!
I invite you to join our ongoing conversation about Tableau, data visualization, and more. Follow me on Twitter and LinkedIn, and let’s continue learning together.
Hey #data19 Berlin attendees— make sure you swing by our booth! We wanna hear all about how you do it in (Tableau) Public. Not there? Sound off below! 👇 pic.twitter.com/Y6S7MIoqxk
As you know from my previous Tableau Conference sessions and blog posts (TC18, TC17, TC16), I love social media! So thank you for your likes, shares, retweets…
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