Someone may wonder why would someone write a technical book these days, especially when the earnings of such an endeavor are small and getting smaller. I wondered about the same thing once until eventually, I came to realize some key reasons why such an endeavor is indeed worthwhile, particularly in the Data Science area. I’d like to share with you here the most important of these reasons (benefits), knowing fully well that these are just my own insights and that you’d be able to find your own ones, should you ever consider writing a technical book.
First of all, when you discover something, even if it’s not entirely new, the natural next step is to try to share this with others, be it to advance your career, personal branding, or for whatever other reason drives you. If you are serious about this task, you’d want to make sure that whatever you deliver has a certain quality standard, so writing a book on the topic could help you accomplish that. If you are more inclined to use film as your medium, you may decide to go with a video instead, but that would require a longer time and sufficiently more expertise. So, a technical book would be a more viable option, especially if what you have to say can have enough commercial value to attract a publisher. You as an author may not be motivated by the royalties you’ll receive from this project, but no publisher would publish something that isn’t going to pay for the paper or digital storage it is going to need.
Also, through writing such a book you realize what you don’t know and develop a more balanced approach to the whole subject since you are more aware of what’s out there. The arrogance you may have harbored as a newcomer will gradually give way to humility and a deeper appreciation of the field, as the research required to write this book is bound to cultivate in you. Besides, even the stuff you may know well, you may realize that you may not be able to express comprehensibly, something that the editor will be more than happy to let you know! So, your development as a professional in this field will be (at least) two-fold: related to the knowledge of subtle aspects of the field and related to your ability to express all that effectively and eloquently.
Finally, writing a technical book, particularly one that is marketed professionally by a publisher, enables your thoughts to cross lots of borders, reaching out to people you wouldn’t normally find on your own. This will expose you to a larger variety of feedback for your work that can help you grow further as a professional. Not all of the feedback is going to be useful, but at least some of it is bound to be. Besides, the people who would normally read your work are likely to be people who have valued it enough to pay for it beforehand, be it through the publisher or through a subscription to a technical knowledge platform. Either way, they would most likely be people who are driven by genuine care about the subject, not just curiosity.
I could go on about this for a while, perhaps even write a book on this topic! However, as I respect your time, I’d leave it to this. What other benefits of writing a technical book can you think of? Do they justify to you the undertaking of such a project?
With so many ways to get a book out there, even in a fairly challenging subject such as data science, you may wonder what this process entails and what is the best way to go about it. After all, these days it’s easier than ever to reach an audience online and promote your work, all while branding yourself as a professional in the field.
Writing a book in data science is first and foremost an education initiative, targeting a particular audience. Usually, this is data science learners though it may be other professionals involved in data science, such as managers, developers, etc. A data science book generally tries to explain what data science can do, what its various methodologies are, and how all of that can be useful for solving particular problems (emphasis on the last part!). If you see a book that focuses a lot of the methods, particularly those of a particular methodology, it may be too specialized to be of most audiences, unless you are targeting that particular niche that requires this specific know-how.
A key thing to note when exploring the option of writing a book is a publisher. Even if you prefer to self-publish, your book must be able to compete with other books in this area and a publisher is usually the best way to figure that out. If a publisher is interested in your book, then it’s likely to be somewhat successful. Also, if you are new to book authoring, you may want to start with a publisher since there are a lot of things you’d never learn without one. Also, a book published through a publisher is bound to have more credibility and a larger life-span.
Understandably, you may have explored the various deals publishers make with their authors and figured out that you’ll never make a lot of money by publishing books. Fair enough; you’ll probably never make a living by selling your words (although it is possible still). However, if your book is good, you’ll probably make enough money to justify the time you’ve put into this project. Also, remember that most publishing deals provide you with a passive income, even if the publisher wants you to promote your book to some extent. So, even though you won’t make a lot of cash, you’ll have a revenue stream for the duration of your book’s lifetime.
With all the data science material available on the web these days, acquiring all the relevant information and compiling it into a book is a fairly straight-forward task. However, just because it is fairly feasible, it doesn’t mean that it’s what the readers need. Without someone to guide you through the whole process and give you honest feedback (that’s also useful feedback), it’s really hard to figure out what is necessary to put in the book, what should be included in an appendix, and what should be mentioned in a link. Your readers may or may not be able to provide you with this information, while if your main means of interacting with them is how many of them download your book or visit your website, you are just satisfying your ego!
A publisher's honest feedback often hurts but that’s what gradually turns you into a real author, namely one who has some authority in his/her written works. Otherwise, you’ll be yet another writer, which is fine if you just want to talk about writing a book or how you have written a book that you have on Amazon, things that are bound to be forgotten quicker than you may think…
After noticing a subtle but clear gap in the data science education of today, and after discussing this matter with a couple of my associates, I decided that a new data science book would be in order. So, after some negotiations and refinements of this idea, over the space of 3 months, we are now ready to initiate this publication project. So, once the paperwork is done, I'll be working on a new title, one that would appeal to a large audience of data science related professionals. We expect the first draft to be ready by the beginning of summer, and if all goes well, the book should be available for purchase by early autumn.
A big thanks to my publisher Technics Publications and to all of you, particularly those buying my books and watching the videos of mine that are made available on Safari. Cheers!
I've been writing a lot about A.I. lately and AGI has been a recurring topic lately. Although the possibility of this technology becoming a reality is still a bit futuristic, we can still ponder on the possibility and explore how such an A.I. system would affect us. Hence this fiction book I wrote in the past few months and published this week on Amazon (Kindle version only). Feel free to check it out when you have a minute.
The book is dedicated to researchers of A.I. Safety.
Although lately I've been writing about the infeasibility of AGI in our current time and how an AGI can pose great threats, it is still useful to consider what would happen if an AGI actually existed and how it would see and interact with our world. Hence this novel, which through the first-person perspective of an AGI system, explores how the advent of such a technology could have noticeable consequences to our world, transcending even its creator's expectations. After all, the difference between an AGI with our level of intelligence and a super-intelligent AGI is not as large, though for the purpose of the plot of this novel, it has been shown to take place over a period of several months.
In any case, if you are into science fiction and wish to contemplate on the matter of AGI and A.I. Safety, this novel may be for you. Feel free to check it out on Amazon (currently only in Kindle format). Thanks!
Recently an associate of mine and I have started a blog on Medium, focusing on A.I. related topics. There are no articles on it at the moment, but we are actively looking for potential authors of such articles. Every author can have a short bio of him/her and a link to their site of choice (e.g. their company’s site, their own blog, or even an online professional profile of his/hers).
Right now, we don’t have very restrictive requirements regarding the articles, so anything that is related to A.I. (especially its applications and its real-world impact on fields like data science or robotics) qualifies. Also, there is no word restriction so if you want to write a whole mini-book on this blog, you can be our guest!
If you are interested, feel free to let us know either through the comments below, or via a direct email to me (you can use the contact form at the corresponding page of the Foxy Data Science site). Cheers!
So, about 18 months ago I created a video on Safari about how A.I. could benefit Data Science (DS and AI). Even though at that time I was still figuring things out regarding how educational videos work, the vid was immensely popular and even today still attracts lots of views. Considering that all of my recent videos are (much) better than that one, at least technically, this is quite intriguing.
Anyway, fast forward to September last year. As I was walking in the streets of suburban Seattle, thinking about what to do next (my Data Science Mindset, Methodologies, and Misconceptions book had just been released), I decided to write another book, one about A.I. since this topic continued to fascinate me, while it was becoming a popular topic among various data scientists. So, I pitched the idea of a new book to Steve Hoberman and after sorting out the details, we got a contract going. However, due to various reasons we decided to start the book in January.
The whole project was quite a turbulent one, with my co-author dropping out around March, leaving me in a very difficult situation. Yet, I decided that the book was worth completing. Fortunately, another data scientist / A.I. expert decided to join me in this endeavor, Yunus E. Bulut, who I got acquainted with through Thinkful. Long story short, after a few discussions about the project he had a contract of his own as a co-author.
Three months later, the first draft was complete. Of course the book went through a lot of revisions since then, partly because the technology was changing and partly because there were a lot of topics in this book, which was difficult to coordinate and merge into a coherent whole. Also, at one point Julia reached adulthood as a programming language (v. 1.0) so we had to update the code for the chapters that had programs in Julia.
So, after a feverish summer, plagued by heat waves and other obstacles, we finished the edits (at least the most important ones, since a book is never really finished!) and the book went to the press. Now, it is finally available for you to buy at whatever vendor you prefer. Check out the publisher's site for more details. Cheers!
Last week I’ve finished my part of the final corrections stage of the new technical book I’d been working on for the past few months. My co-author, Yunus, has done the same, so the book should be in the press later this month! Hopefully, you should be able to purchase it soon, either from the publisher’s site, or from some other vendor (e.g. Amazon). Just wanted to share that with you all. Once the book is out there, I’ll be sure to make an announcement about it here on this blog. Cheers!
This past week we received the first round of feedback from our publisher, so my co-author and I have been feverishly working on refining the book, making clarifications where necessary and adding some content for better context here and there (mostly there). So, after a week’s worth of editing we have completed the revised version of the book which we’ve sent to the publisher this weekend...
Also, this past week I wrote three articles for one of the blogs of the company I work with in London, so it’s been quite busy writing-wise. These are all part of the SEO plan for one of the websites of the company, so they are a bit dry but they are still interesting to read.
What’s more, on my free time I’ve been thinking about A.I. Safety and creating mind maps on the topic. In fact, until further notice, that’s going to be my main past-time from now on, that and creative writing. After all, that sci-fi novella of mine isn’t going to write itself!
So, with all that going on, I didn’t have the chance to put together an article for this blog this week. Stay tuned though since the ones I have in mind are going to be unique and intriguing...
When I started my life-long journey in the world of data analytics (which morphed into Data Science and modern AI-based predictive analytics systems), it was through academia. I even did a post-doc at one point, which although paid the bills, it was the worst-paying job I’ve ever had during my career. Yet, as long as there were things to learn and challenges to overcome, I was willing to see past that.
As I matured, I realized that the only thing that mattered in that strange world, if you were to have a career in it, was publications. As I enjoyed writing, I gave it a shot. However, the needlessly long waiting time for any feedback, the low quality of that feedback, and the overall time it took for something to get published, put me off eventually. After that, I decided to pursue a career, any career, in the real-world, as at least here there is more meritocracy and smaller waiting times, enabling a much faster growth.
A few months ago, I was approached by a big-time academic publishing house for an article in their encyclopedia of big data. I was surprised to see that after so many years they had come to be more progressive about the whole publications related business. As the topic was down my alley, I decided to accept their offer. At the time I felt that this would be my way of giving back to the data science programming community. I only asked that the companies I work with get mentioned in the article so that they can at least justify my being distracted by this project. The academic publisher accepted and said that these companies would be mentioned as my affiliations. I even provided their location details afterwards, so that they were going to be represented fully.
Months later, I got some feedback, some really minor corrections, that I took care of promptly. Finally, last month the article was published. I was pleased, for a couple of minutes, till I realized that the affiliations were all screwed up. Up to this day I am not sure how this could happen. It would take a whole new level of incompetence to mess up such a simple task, more than I was used to seeing through my academic life. Of course, mistakes happen and since I’m not perfect either, I politely asked for corrections on this part of the article. I had to do this twice, since apparently the first time they must have forgotten about it (apparently these corrections were not a priority to them). Up to this day, the article remains uncorrected, since clearly this 2-minute task is just too much for them to handle, or perhaps there isn’t much of a motivation.
If there was a slight chance of me ever working in an academic setting again, e.g. by writing articles like that one or academic papers, this is gone as this event proved what a colossal waste of time it is working with this sort of bureaucracy. Perhaps for you it’s different because you have higher tolerance or lower self-esteem (or maybe both) and you can put up with these clowns. However, if you are on a crossroad in your career in our field, be sure to explore your options wisely before being tempted to compromising with an academic publication gig. More often than not, it would not be worth your time, while all the other alternatives would be more rewarding.
UPDATE: finally they managed to update the affiliations bit. I wonder if this article had anything to do with it! It's doubtful that I'll change my view on the academic publications matter any time soon though.
Zacharias Voulgaris, PhD
Passionate data scientist with a foxy approach to technology, particularly related to A.I.