Recap: in the previous newsletter, we compared three job posting types: product manager, program manager and data engineer. Check out the career talk here. We have been collecting data on job postings and will report back with more insights. Check out our technical interview guide mid way through this newsletter.

Easter egg for paid subscribers

If you haven’t already, paid subscribers, you need to grab this algorithm book here. This new type of database is truly the future. We strongly believe so.

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Easter eggs are available for paid subscribers who subscribed for at least one month. One-time contribution / buymecoffee also works. Tip one cup of coffee here. And receive this month’s easter egg in your inbox. ☕️ cheers.

Here’s a found freebie easter egg on the internet : white paper templates!

Another algorithm book easter egg here. pro only

Resources and Events Page coming soon.

Skill cards FREE and PRO

New feature frequent knowledge cards

Every 2-3 days you will receive 5-20 “byte” size 🦷 knowledge cards. Nearly half of them will be public and the other half or more pro paid members only. The content will range from one off pro tips, ML concepts, interview tips, news and trends. They are easy to consume. Favoriting feature coming soon (you will be able to save cards you like to your profile in the near future).

At the half-month mark, and end-month mark, we will chain logical knowledge cards together and send it to members as smart tutorials so you can see where these knowledge bits fit in the big picture.

As you know we are working on ML books (PDF/online docs) for subscribers. The problem with tech books is that they are obsolete fast. The tech evolves way faster than the editorial process. So we are publishing elements of this book asap as knowledge cards so you can consume them when they are still relevant. The book will still help you chain all the concepts together and understand the big picture. Really understand ML from a deeper level not just remembering syntax.

Public links will also be collected on the Topics page https://ml.learn-to-code.co/topics.html

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You can now vote for skill cards! Log in and give it a try. Liked cards will show up on your favorite tab. ❣️ 👍🏻 https://ml.learn-to-code.co/fav.html

Our favorite quote of the month is by Forbes writer who describes blockchain as an innovative distributed database. That’s cool because technically it is a chained online ledger that tracks transaction data and mining/ transaction fees (gas price).

Mostly public tips, just two pro only tips. Only $5 a month or less.

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Blockchain as an innovative database (what you just read) card link
Pro tip : how to solve matrix interview questions (pro only) The ultimate pro tip for solving matrix interview questions in technical interviews. tags: technical interview, python, indexing, matrix, job, high quality
Pandas Analysis query dataframe columns using square bracket notation
Machine learning joke hot dog not hot dog project (SiliconValleyHBO) Hot dog 🌭 not hot dog out of box with Tensorflow for Poets.
ImageNet 1000 classes to labels
Pro tip : important ML DL function : train test split explained in super details (pro subscriber only) https://ml.learn-to-code.co/skillView.html?skill=gzWvNB2BD4tBUl4CZYCc
Getting started with R and RStudio #helloworld basics
What is an IDE? #learntocode basics
Pandas - Aggregation function groupby

Machine Learning Tool Kit

Data science, machine learning libraries and tools you should heard about at least once. (Machine learning tools cheat sheet)

Machine Learning Interview Question

Practice interview question How to determine what features are important?

See answer in the link (pro only)

Q&A what does this code do?

Technical Interview Guide (Python, Data) - Interview Guide

Check out our medium publication for technical interview prep tips.

Trends and news:

Did you know the tensorflow-for-poet library can identify hot dog out of box? Why does it matter? First all it makes sense because hot dog is already a category in ImageNet image vision competition, so it’s not by chance it is included. Second, hot dog not hot dog is a famous funny neural networks project that made a cameo in Silicon Valley HBO. It’s now a well known joke that appears in hello world tutorial projects, even gets referenced on AI company ads. Our staff actually mentioned this in a real google interview and it was well received. Literally every one understood it. Though guys get more of a giggle out of it than girls. It’s not the most PC jokes.

Every one wants the same hardware : GPUs. Gamers, crypto miners and deep learning researchers. It’s a problem. Nvidia's new RTX 3070 and 3080 Ti cards attempt to cater to gamers and miners .

June Machine Learning Newsletter 02

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