594 karma · joined November 30, 2016
After trying to scour and even reading many books in this area, most that are either highly abstracted for the 'pop-sci' reader (like me, with no training in physics) or were all-out textbooks, I chanced upon Susskind's lectures and the Theoretical Minimum series. I started off right from the basics and IMHO, it has the right balance between introducing concepts and making sure you internalize them by having you actually work on problems (highly recommend that you don't skip these). I am nowhere near close to understanding any of this yet but it gave me at least an orientation for what to expect and how to prepare. Once I get a bit of time and the interest back again, I expect to go back to the other books in the series.
A new one I found out is their supposedly open-source initiative called 'Cloud Information Model' [1]. Along with others such as Salesforce, Genesys and AWS (companies that I personally don't trust), they promise 'you can create seamless and tailored personal experiences across cloud-native applications'. It's all a bit vague and fancy and sufficiently "tech-y" to impress the marketing folks but colour me suspicious.
EDIT: forgot the link,
So now I use them only when I absolutely need to (e.g. in noisy places, taking calls on the move) and avoid them all other times.
It's been 16 years since I worked there but I still remember this vividly. Modern banking has to be one of the biggest scams legally running and once you go below the prime segments, it's basically just exploiting the poorest and weakest to make some of the easiest money you can.
Just curious- how does it stack against Metabase (https://www.metabase.com/product/) for example? I used Metabase a few years back and was really blown away with the ease of use.
My experience is anecdotal but I visit my home country every year for a few months and I can clearly notice the declining quality of Uber's services:
1. Vehicles, on average, take at least 10-15 mins longer to get
2. Even if you find a vehicle, 60% of these rides are canceled (either by the driver because they call me and find out they don't want to go that way or they just don't move at all and I'm forced to cancel)
3. After all this, if I am lucky to get into a commute, every driver has complaints about Uber (complaints include intransparent pricing, delays in payments). Most of these drivers are completely dependent on Uber or similar services and have heavy debts that they are now unable to service.
4. Uber's app itself appears to get bloated by the day and while they do appear to make an effort collect my feedback when rides get canceled, not once have I got an impression that the feedback matters at all. Additionally, payment options are numerous but they require me to complete multiple steps to finish which puts me off using it (not Uber's fault I suppose but is part of the riding experience).
Given that they are competing against flag-down autos and rides, not to mention public transport and private vehicles (as electric bikes and cars get more popular), I think their model is not sustainable anymore and I expect them to struggle further as riders withdraw and once the demand-supply gap grows further, it's a downward spiral.
Absolutely. It is definitely hard to cut through all the fluff when we are emotional but this realization has helped me so many times and, this applies not just at work. Just as we are going through these states and the self-awareness is important, it helps to also realize that others are transiting too through these different states.
I'm reminded of an another thought that was shared here a while back that I try to remember often:
“Life is mostly froth and bubble, Two things stand like stone. Kindness in another's trouble, Courage in your own.”
― Adam Lindsay Gordon
Online Analytics is now really nuanced - you need to know what metrics are important for * your * business, not just use boilerplate kpis.
For instance, an e-commerce website is clearly looking to lead the user to a lot purchase and the more they purchase, it’s good for the business so kpis around sales conversion help and recommenders help your business increase sales.
For Netflix though, the users have already paid for the service after which they land on the website. Most users I imagine then expect to be provided all that Netflix has to offer in an easy way. So if I was a Netflix product owner, I’d be more interested in Kpis around search-ability, having an anti algorithm that “suggests” completely random obscure shows, “switchability” of users - how less of a time do users spend on a movie or show.
I imagine they’re doing this but as a user I don’t see this at least - they show the same old stale recommendations for me, I’m always trying to hack their search to find what I want and they continue to invest in content that’s mostly miss than hit. I wish they at least had a directory for me to browse through (at least I’ll be driving their engagement metrics to help them drive their valuations)
It essentially changed the way I look at data, and more importantly, how to carefully draw the right conclusions. Especially with those reported by regular media.
- source: data point of one, my own anecdotal account of being in data for the last 16 years