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Here are some goals I'll be seeking next year:

- read more. Read a couple of books this year, but I just want more, and more deep reflections on them.

- knowledge base: have more trackability around the stuff I like. So I'm getting into knowledge base management so that I can have pre written ideas and have a more easy path towards some future projects. Having that become a habbit is a goal for me.

- learn react + d3. Being a data scientist, I've always loved the cool data viz projects I've seen around the web, so I'd like to get my feet wet in the world.

- masters degree: I have had as a goal to join a masters program in statistics because it is a discipline I really enjoy studying and feel I can actually enjoy my routine during the 2 years I would be locked into. Now that I have the financial stability to maybe quit work for a while (or have another less demanding type of work), I feel the could be feasable.

- To get better at basketball. I have always loved that sport and it helped me get fit. But I've never been particulary good at it, so I'd like to improve to have more fun at pickup games.

wow. How you phrase the work and client expectations make seem like working for you is a breath of fresh air in the DS world. Let me know if you ever need a contractor, or let me know how to reach you with a resume :D

Regarding the business impact of data science related work, as a working ds and team lead a have a few thoughts. There are some sectors and activities that are very data science like, to using a blunt anachronism, have been like that for a long time, and have a lot of teachings on how to develop and measure impact on business by the automated decision systems and/or analytical work that they build. Some examples are:

- demand forecasting for supply chain processes - credit scoring for loan approval - portfolio risk analysis in financial settings - some misc optimizations work on operations - maybe even six sigma can be listed here

Those have always had a data-science-like feel to it. The problem I see is when companies try to implement a data science team is:

1. push out subject expert knowledge and requirements just for the "freedom"; 2. have stake holders to be out of touch with the solutions; 3. too litle focus on putting stuff "in production", tracking, beeing able to experiment, in whatever sense those have for the company; 4. too much focus on numbers that can come out of the ds's computer, and treating operation related numbers as an after thought; 5. no basic knowledge of simple/common/classic solutions for their problem at hand.

So yeah, making business impact is way harder than is sounds, and too out of the skill set for the 23yo STEM graduate to actually make impact. And too buzzwordy and impressive for the typical decision maker. I mean, I've heard countless times things like: "if an AI knows how to tell a cat from a dog by using one of those neural nets logarithms, surely it can know how to partition my marketing budget, optimize my coupon giving logic and determine the strategy we should have in order to achieve a very obscurely constructed OKR". (yes, I have worked for people that used the word logarithm to mean algorithm).

sure! You can find me on twitter @gui42

I use manjaro with my on DWM build (very small changes and a few usefull patches). I'm not liking it because for some reason pamac (AUR helper) cli behaves differently from the UI. So now and them, when I need to update a package, the cli wont do it because of some signature issues, and the UI can handle it. So now and then I go back to cinnamon because I can't lauch pamac correctly from the terminal from DWM. Very weird setup going on.

Crystal Linux did catch my attention :D

Also interested in this. In Brazil, whenever you get your phone stolen, the robbers will screw you over by getting access to accounts and issuing pre approved loans to other accounts. I'd love for my 2FA to be tied elsewhere instead of the same device where I do transactions.

wasn't go supposed to be a replacement for C++?

Thank you for those kind words. I have two 2yo twin cats as well and the thought of not having them around is tough. Will check out both recommendations. I've never heard of Bhagavad Gita and it seems incredibly interesting.

holy crap man. What a story. Glad to hear you are bouncing back from that. Will read those with a lot of respect since they helped you go through such a difficult time.

I can read in spanish :D Not as fluently as in english, but tackling a book in spanish would be a nice challenge! Let me know if there are any titles from those authors you'd recommend me starting with!

It has been a long time since I've had an interest in philosophy. I was one of those "humanities" kid that read stuff I wasn't at all muture enough to go through. And I remember loving some bits I read from Schopenhauer. Perhaps its time for me to relive that interest.

cooking is one of my favorite hobbies. Will definitely check it out.

I did love fahrenheit 451, so this one should be right up my alley in terms of writting style.

wow! All are unheard books for me. Will for sure check them out! Thank you!

Thank you for the awesome list! Yes, audiobooks are awesome. One habbit that kind of faded away in my life is biking and listening to them. Will strive to restart it.

I've read 12 rules in the past (perhaps in the year it came out?), and yes, even though I don't agree with a lot of Petereson's opinions politically, it is just a good helpfull book to help one center his routine and life goals around. I wonder if the sequel is as good!

Again, thank you!

From what is worth, I'm a data scientist who has worked on ads in the past. I've always been under the impression that massive scale audio processing for ad targetting was way too expensive when compared to the signal we can extract from the audio data and as compared to the final ad conversion. I mean, at least from the prices of having an instance processing streams/bacthes of audio data just to sort out brands/products/services that were mentioned in those audio streams.

In my understanding, showing ads for what people that are connected to you searched/bought/interacted, as in a simple network analysis, would be much cheaper and would give you very similar results.

It is a very good idea, but some resources can give very wrong/opaque views about procedures, by showing only model.fit(X,y) and model.predict(X).

Yep. I Do this quite a lot in the Cross Validated site. It is the only way to get up votes or the correct answer check. If you take too much time to craft a well thought out answer, somebody will beat you to it and get all those. So in order to get the best of both worlds, I anser fast and then, if needed, improve on it.

The biggest disappointment with my OnePlus Buds was the inability to listen to music while laying on my side. That, together with how buggy bluetooth is everywhere besides Apple products, makes me really hate the technology of wireless headphones/earphones.

Are you talking about a client application? PgAdmin is the goto for postgres administration. But some ppl like DBeaver and I really like Datagrip.

However, I also really like using clis when they are available. In that sense psql is quite good and pgcli is really cool.

I love how this is clearly a contextual recommendation. I'm not a software developer, but a data scientist. In pandas, to write your manipulations in this chained methods fashing is highly encouraged IMO. It's even called "pandorable" code

I just got a really cheap one, and haven't used it yet. Will it be a bad experience? :D

why is creating a bootable USB stick so hard? By the look of the comments it's not something that tools can do reliably. How can I learn more about these types of issues? Booting an OS in general, that is.

This is so awesome dude! Please let us know where we can find more about your project :D

Awesome site man! Would love to know the color scheme you are using. Would definetly use it in my terminal :D

as a vim user, how could I learn Emacs? I know of Evil mode, but how easy is it to have some stuff just like I have in vim (such as custom text objects, vim-surround, etc..).

Last semester I finished a gradutate course as an external student in the statistics program of the best university in the country. I have a goal of getting into grad school this year, but I'm old-ish (30 yo in april). The fact that i was able to be one of the best grades (if not the best) really made me happy.

I struggle with the idea of going to grad school for a while now. My family gives me zero support and during the years where I was younger and could focus solely on getting, my parents had a massive divorce, which didn't help me at all. I don't test very well, and the entrance exams tend to be tough. Even though I switched areas after those years (I wanted to ge into economics and now statistics) I feel a bit more confident in my math skills. With the added maturity of a few years, I think I can manage getting in without my parent's support.

I only have to not drop the study habbits. But it is hard with work from home and the depression vibes my country is in (Brazil, btw).

Ah yes, a fellow Brazillian. I've alwys found Elon's book on Linear Algebra a masterpiece. Coupled with the exercises book, going through it is an eye opening experience.

For me, a data scientist, learning D3 feels so far off since the background needed to learn it seems vastly connected with some notion of frontend concepts, which for me are very foreign. And honestly, I don't care much about UI programming.

Is this impression correct? Is there a way around this? A learning source that covers both?

I see the value of remaping the esc key to cpaslock, but my hands are quite big and I can reach esc on most keyboards quite effortlessly.