Good book. I liked it, and at the same time found myself never really developing an emotional relationship with the main characters, not sure why. Still, great writing. It was hard to put down sometimes as I wanted to know what happened next. Plus, it left a pleasant amount of questions unanswered at the end.
A book about all that goes into building ML systems for production, but with a good focus on everything aside from building the actual model. This book was great, as it talks about all of the topics typically ignored or glossed over in most machine learning books: data engineering, data collection, deployment, model failures, tooling, and team structures.
Read as part of our weekly Data Science study group.
A systematic framework for identifying opportunities and planning AI projects in a business context.
Who is this book for? Primarily for business people who want to establish AI in their company, but also for technical people (like me) who want to expand "technical planning" into a complete business project scope.
The author has been managing and supporting AI projects for a while and she writes about a breadth of topics: What should a company ensure before considering AI? When is AI not a good idea? How to identify high-impact AI opportunities? How to measure if a project was a success or failure?
I really enjoyed the book as it provides a framework for me to talk to other people in my job and lay out clear criteria about how to plan and when NOT to consider "AI" for a project.
A minor annoyance: The book introduces arbitrary abbreviations (typical for "business" frameworks in my experience). "PAI" is a "potential AI initiative" and the "HI-AI discovery framework" stands for "high impact AI initiatives". I think the content would work well without these terms and it would have been more readable.
Aside from that, the writing is clear, to the point and well-edited. I was positively surprised by the high quality of the layout and print, even though it appears to be distributed through Amazon's print-on-demand platform.
An excellent management book. Julie Zhuo specifically didn't write this as the all-knowing management guru, but as a reflection of her early times of becoming a manager (of a design team at Facebook).
I could identify with many of her struggles and I learned valuable concepts for my own job that I will try to apply.
Not a printed "book", but free online material packaged up like a book. Part 1 is a summary of the ML interview process. Part 2 is a collection of practice exercises.
Being in a Machine Learning role myself, this was an interesting read to see a comprehensive summary of current topics, interview process, and role descriptions. I also got some inspiration for interviewing new candidates for my own team.
Rebecca Henderson is a Harvard Professor and writes about how free market capitalism has created great innovation and prosperity but is also the source of inequality and a driver of global climate change.
She proposes a framework for how private businesses and public actors should cooperate to fix what's broken: Help establish the right incentives to act more sustainably.
The strongest key idea is: "there's a great business case for saving the world". Even the most shareholder value-focused investor will have to realize that climate chaos will ruin economic opportunities.
Super interesting to read and she points out a lot that's broken, but her writing still remains hopeful with an optimistic tone.
Another one of these finance books I keep plowing through. US-centric in some parts, but a good framework that can be used by anyone who wants to build wealth (early in life). A lot of the same if you've read other books from the genre, but what's a little special about this one is the concept of "house hacking": Buy a house or flat, live in it but rent out part of it. He calculates how this is more advantageous than either renting or traditional buying of real estate.
Written by Tony Fadell, whose career spans being part of the General Magic team, leading the iPod development, and later founding Nest and selling it to Google.
The book is 50% story of his personal experience and 50% advice for anyone building tech products.
I found a lot of helpful concepts across career advice (engineer vs management role), product decisions, and being part of a growing company. I couldn't make sense of every single point and didn't agree with everything, but that was fine.
The main thought I wish he had explored is the "why" behind it all. Clearly, a career such as Fadell's requires giving 120%. At one stage, he walked away from working and took 1-2 years off to travel and have time with family. But what about a healthy balance? Does this exist? And is it all worth it for his personal happiness, for finding his "enough" point? I understand (and feel) the ambition and drive to "put something out there". At the same time, it would be nice to hear some reflections from someone who has done it all.
In particular, I liked that this isn't one of those business books that has one core idea and re-iterates it across 10+ chapters. Instead, it's a super dense guide to building teams and building products. I liked it.
A good and easy walk through Stoic philosophy with the author's view on its applicability to 21st-century life.
The writing felt a bit academic but was easy to follow overall.
Some parts surprised me in a negative way (like what felt like an anti-sex stance?). The other chapters mostly made sense to me.
A book about understanding how ego stands in the way of living a good life in phases of aspiration, success and failure.
I liked the whole message and in particular the connection to stoic philosophy.
When applying these thoughts to my own life, I am inspired but also confused: Where is the balance between healthy aspiration to do „good work“ without doing it for the ego — and not even striving for professional success in the first place? After all, isn’t a „successful“ life often defined from a perspective of ego?
Overall, a very good book. Has potential to be reread every few years in different phases of my life, I think.
Schon ein paar Jahre älter und ein Klassiker der „Financial Independence“ Literatur. Habe aber festgestellt, dass es gar kein Finanzbuch ist (bzw. nur minimal). Vielmehr geht es um… alltägliche Systemtheorie: Wie fällt man Entscheidungen im Leben, die nicht nur eine Stellgröße beeinflussen („neuer Job = mehr Geld verdienen“), sondern alle Verflechtungen im Leben berücksichtigen („welchen Einfluss hat das auf meine Familie, meine Gesundheit, meine Kenntnisse, …“). Vieles ist irgendwie auch offensichtlich (vor allem aus europäischer Sicht ist der Verzicht auf das Auto nicht soo abwegig). Insgesamt aber ein tolles Gesamtkonzept, so als Mischung aus Frugalismus, Philosophie und analytischer Lebensstrategie. Das Hörbuch ist sehr gut gelesen, aber manche Teile hätte ich doch lieber in gedruckter Form vor mir gehabt. Vielleicht lese ich es irgendwann einfach noch mal.
Ein Science Fiction Wirrwarr von 2003, klar im Nachhall der Matrix-Erfolge publiziert. Eine Elite-Schule hat 10 Schüler, die in VR unterrichtet werden - bis einer von ihnen verschwindet, oder sogar umgebracht wurde? Zu Beginn drohte das Buch, mich zu verlieren, ab der Hälfte war ich aber gefesselt. Ich schwanke immer noch zwischen 2 und 4 Sternen, bin aber froh, das Buch spontan auf einem Grabbeltisch mitgenommen zu haben (und habe auch erst nach abgeschlossener Lektüre bemerkt, dass der Autor der Sohn von Carl Sagan ist).