Can you share more about your hobby farm? I would love to learn more about how you got into that? My family had a small farm growing up and my parents are still actively working on the farm everyday and I would like to take that up at some point. So curious to hear what you farm and how much involved you are in the process.
We're in the very early stages, but the short is that we're raising highland cattle and starting to board horses. We started after my wife bought a horse and we realized boarding costs in a HCOL area are pretty close to a rural mortgage in a LCOL area. So we moved and bought a farm property. Then we bought a couple highland heifers because they're very cute and fluffy. We're working towards growing that herd up to have a few calves to sell each year for pasture pets / meat. The property is also well suited for horse boarding with a sand arena and lots of trails accessible from the back woods. These first few years will be pretty scrappy. Mostly getting all the pasture acres fenced properly and rebuilding the forage quality, plus setting up all the other infrastructure to keep things running smoothly longer term. My wife handles the day-to-day on feeding and caring for the animals, she is a trained farrier and a licensed veterinary technician so we have a big advantage there. I step in for the project work and infrastructure planning. And anything that's an excuse to run the MF135 (snow plowing, moving manure and dirt, grading the driveway, post hole digging, dragging, mowing, etc...)
If you're in the US reach out to the USDA new farmer program (e.g. https://www.farmers.gov/your-business/beginning-farmers) and they'll hook you up with your local extension office (applied agriculture University/land grant college), conversation district, state department of agriculture and so on.
Children at school use a screen for school work starting in middle school (and sometimes even in elementary school). It is very difficult for parents or teachers to always supervise this. I think the adults should educate the children of safe online behavior but like other real world experiences they need have the independence when being online too.
How does the camera on these new phones with mirrorless cameras at less than $1000 price point?
Dedicated cameras have around 20 Megapixels but much larger sensor size - but does it really matter if the most I would do is print them into a photobook?
If you don't fiddle with the phone camera photos much and are happy with them, there's not much difference. A $1k-ish mirrorless is a much more capable camera but it doesn't fit in your pocket and has about as many controls as a nuclear reactor control room.
StitchFix | Senior Data Platform Engineer | Remote (US) | Full Time | https://www.stitchfix.com/careers/jobs?gh_jid=4143150&gh_jid...
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience.
The Platform team at Stitch Fix is a highly impactful group of engineers who develop some of the most mission critical infrastructure in the company. The team owns our API strategy, execution as well as systems and platforms to help unlock critical algorithmic capabilities. In addition we also invest in high-leverage, self-service platforms and tools to facilitate scalable research & development for our data scientists.
We are looking for engineers with strong experience in building out scalable distributed and production systems. You will be building new platform services, tools and infrastructure for delivering algorithmic models to production. You will collaborate and partner with different functions within Stitch Fix - Data Science, Product, Engineering and other platform teams.
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience.
The Platform team at Stitch Fix is a highly impactful group of engineers who develop some of the most mission critical infrastructure in the company. The team owns our API strategy, execution as well as systems and platforms to help unlock critical algorithmic capabilities. In addition we also invest in high-leverage, self-service platforms and tools to facilitate scalable research & development for our data scientists.
We are looking for engineers with strong experience in building out scalable distributed and production systems. You will be building new platform services, tools and infrastructure for delivering algorithmic models to production. You will collaborate and partner with different functions within Stitch Fix - Data Science, Product, Engineering and other platform teams.
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience.
The Platform team at Stitch Fix is a highly impactful group of engineers who develop some of the most mission critical infrastructure in the company. The team owns our API strategy, execution as well as systems and platforms to help unlock critical algorithmic capabilities. In addition we also invest in high-leverage, self-service platforms and tools to facilitate scalable research & development for our data scientists.
We are looking for engineers with strong experience in building out scalable distributed and production systems. You will be building new platform services, tools and infrastructure for delivering algorithmic models to production. You will collaborate and partner with different functions within Stitch Fix - Data Science, Product, Engineering and other platform teams.
I have a toddler at home. I purchased a kindle a few months ago and it has drastically increased my reading time. I try to carry the kindle around the house instead of my phone. And read whenever I can - 15 to 30 mins chunks. I also read in bed before going to sleep and the backlit kindle is great for that.
Also I have been renting kindle books from my library. Very easy to try books and continue reading only if I find it interesting!
My son is still an infant, and sometimes things (teething, stomach aches, who knows) keeps him from sleeping. The Kindle makes it much more tolerable to walk around and rock him at night.
Of course, it also helps that my employer will reimburse any book purchases I make.
Our local library makes it pretty easy. Ours works through an app called Libby that connects with my library card and I then download books to the kindle.
I also recommend Libby. It used to be Cloud Library with our public library but they phased out of it and it’s Libby now. I like it much better. They also have audiobooks.
Author here. We have been building ML infra for FloydHub for over 3 years now and learned a ton. It is not easy as we thought it was! We are open sourcing our learning in a blog series - hoping it will be useful for companies who build their own ML infrastructure.
This article focuses on how to use EC2 effectively and save overall cost for ML infra. There are a lot of low-hanging-fruit opportunities that most companies we work with don't adopt. Anything else I missed?
> As the first deep-learning-enabled product to launch on Github.com, this feature required careful design to ensure that the infrastructure would generalize to future projects.
It is surprising to see that this is the first time DL is run in production at GitHub. GitHub has a large amount of fairly structured data in the form of code, issues, etc. Plus they have been dabbling with DL for more than two years [1].
It could be that the business problems that are critical to the growth of GitHub product may not need DL. Solving problems like best-first-issues, code search are useful to the end user but may not effectively grow the business metrics.
