Level up your software engineering skills as a data scientist | ML Monthly February 2021

How do you go from a data scientist or machine learning researcher to building full-stack applications? In this episode of Machine Learning Monthly, I cover resources to answer that question such as Lj Miranda's blog post on improving your software engineering skills as a researcher. Plus plenty more from the ML space during February 2021.
Links:
Read the post - zerotomastery.io/blog/machine...
My courses:
Learn Machine Learning (beginner) - dbourke.link/mlcourse
Learn TensorFlow and Deep Learning - dbourke.link/ZTMTFcourse
Connect elsewhere:
Web - www.mrdbourke.com/
Live coding on Twitch - / mrdbourke
Get email updates on my work - www.mrdbourke.com/newsletter
Timestamps:
0:00 - Intro/dancing/hello
1:01 - Where to sign up for ML Monthly emails
1:30 - My new TensorFlow course
2:45 - See me code live on Twitch ( / mrdbourke )
3:00 - My ML deployment tutorial for CS329s
4:11 - Using deep learning to read brainwaves
7:07 - Alvaro’s guide to TensorFlow Serving
9:05 - Chip Huyen’s MLOps Tooling Landscape v2 blog post
11:08 - ML is going real-time by Chip Huyen
14:04 - Using GitHub for MLOps
15:42 - Upgrade your software engineering skills as a machine learning practitioner
17:42 - freeCodeCamp’s upcoming DS + ML curriculum
19:22 - Transformers from scratch by Peter Bloem
21:44 - Estimating training data influence with TracIn
24:40 - Learn fundamental statistics with Python
26:25 - The most important statistical ideas of the past 50 years
28:56 - Outro/submit your work/more dancing
#machinelearning #datascience

[@mrdbourke]

Which was your favourite? Don't forget to submit your work to daniel at mrdbourke dot com!

[@DistortedV12]

Transformers tutorial, most important statistics ideas, software engineering ML, chip, then Tracin are my favorites in order. Thanks Daniel!

[@raghavgautam3379]

Hey Daniel! I'm still a newbie to ML, but your videos helped me a lot to get into the world of ML. Thanks❤️

[@basilihuoma5300]

Hey Daniel, I'm looking forth to a video on MLOps and ML Systems and Design, Nice one here.

[@goldaa4093]

Thanks for sharing your tutorials. Its really helpful for me.

[@LLlikeme]

You droped the monthly bomb! Bro I took your Tensorflow course in ZTM and I am enjoying a lot the journey! Regards from Chile 🇨🇱

[@mrdbourke]

Woohoo! So glad you’re enjoying it! PS great name ;)

[@DistortedV12]

This was amazing! Thank you for the resources!

[@mrdbourke]

Thank you thank you! Stoked you enjoyed

[@jt099]

Daniel, I have been watching your videos for a good while now feels like 3 years or more. keep it up! Hope that we get to collaborate in the future. You have always been an inspiration. Love it!

[@mrdbourke]

Thank you for the support Jordan! I really appreciate it!

[@muhtasham32]

Massive thanks for the shoutout Daniel, as always great video. Keep up your great work!

[@kingofshorekishore]

great paper

[@mrdbourke]

My pleasure! Thank you for the submission

[@muhtasham32]

@@kingofshorekishore thank you

[@anikgupta3929]

Thank You Daniel for keeping us updated!

[@mrdbourke]

You’re welcome Ankit!

[@scarmaten]

Really enjoyed this ep!! Thanks bro!

[@mrdbourke]

You’re welcome! Thank you for the comment

[@pran6663]

why would someone dislike this video ? it's such a beautiful content.

[@mrdbourke]

Thank you for the support Pran!

[@DistortedV12]

@@mrdbourke same here. The dislikers are like blind leading the blind

[@Maegop88]

Great recommendations thanks!!

[@mrdbourke]

You’re welcome Mario! Glad you enjoyed

[@oliesting4921]

Will the course be on Udemy? I get all my course from that platform. Even did your last ML course there. Thanks

[@mrdbourke]

Yes it will! Should be late March/early April

[@jordi.z327]

Can highly recommend Peter Bloem's lectures! As I am one of his students at the university aha. A very kind man that provides extremely useful and thorough feedback. Great content Daniel :)

[@mrdbourke]

Woah! Small world! His materials are world-class

[@DataScienceGarage]

Hey! Thanks for another great video! Will you add any of MLOps in your courses?

[@mrdbourke]

Thank you! Glad you enjoyed. As for adding MLOps to the courses, not add (the courses are long enough), MLOps will likely be an extension/have its own videos on the channel.

[@DataScienceGarage]

@@mrdbourke I have taken your Deep Learning with Tensorflow Course. Recently I passed AWS ML Specialty, now I'm thinking about Tensorflow developer certification. Looking forward:) And about MLOps, I see that demand of this domain is getting higher and higher in my projects, this video really helped!

[@joserfjunior8940]

Oss Mestre !! ML ---> TensorFlow !!

[@alefermin]

Hey Daniel, you should make a video about applied Machine Learning / Monetization ideas

[@mrdbourke]

Stay tuned

[@alefermin]

@@mrdbourke Nice. Will do

[@ankitshrivastava8400]

Hi Daniel, I am looking for some Model drift and Data drift concepts content, could you please suggest some blog or videos link?

[@mrdbourke]

Hey Ankit, I’d lookup Full-Stack Deep Learning’s lecture 07: fullstackdeeplearning.com/spring2021/lecture-7/, also lecture 8 may have more information to go along with it

[@ankitshrivastava8400]

@@mrdbourke it helped a lot!!

[@diegososa5280]

Daniel, looking very fresh my man

[@mrdbourke]

Thank you legend! I appreciate it

[@danielsilva3383]

Hi, do you learn by project based learning? Is your course in that system? Do you make SaaS of ML? Thanks

[@mrdbourke]

I learn through multiple ways: projects + reading + experimenting & the course teaches in that way. I don’t yet make SaaS of ML.

[@danielsilva3383]

@@mrdbourke That's great! Thanks! Is it legal to do an online course based on a book or in the documentation?

[@a-7886]

Hi, I know that you haven’t done anything Bioinformatics related for a while, whats your advice for a PhD student that will be working in cancer genomics and need to run genomic and transcriptomic data analysis . Thanks 🙏🏻 ✨

[@mrdbourke]

Heya, I can’t really offer any advice (because I don’t know the field) other than have fun with it and share your work.

[@danielsilva3383]

Do you need a powerful gpu to train models?

[@mrdbourke]

Usually that’s the case for deep learning models. GPUs generally always out perform CPUs

[@gbroton]

What is the model of your trackpad?

[@mrdbourke]

Apple Magic Trackpad 2

[@prod.kashkari3075]

What if I used streamlit instead of creating an api via fast api?

[@mrdbourke]

A valid option!

[@bobbyv3]

The "brain-scan helmet" wouldn't predict which keys you were going to press next. You're consciously thinking about which keys you need to press--and in which order--to construct a word and passing those electrical signals to the interface. The BSH just needs to interpret/translate said signals and process correctly. If it were making predictions, we'd have some serious Minority Report sh*t going on.

[@muhammaddanial6486]

Looking forward to getting in touch with you. Can you tell me how can I connect with you personally?

[@mrdbourke]

You’re not trying hard enough! See: www.mrdbourke.com

[@_shikh4r_]

Waiting for your data flywheel project 👍

[@mrdbourke]

After the TensorFlow course is finished

[@mdrakibulhassan845]

When your course will be live in Udemy?

[@mrdbourke]

Sometime towards the end of this month (or early next month)

[@zigzag4273]

Hey Daniel. I'm more of a book kinda person. Do you have any books you might want to share? Cheers.

[@mrdbourke]

Any specific kind books you had in mind? I read a fair bit.

[@zigzag4273]

@@mrdbourke Yeah. Something that covers ML / DL.

[@mrdbourke]

@@zigzag4273 I'm a big fan of hands-on ML by Aurelien Geron as well as Deep Learning with Fast.ai and PyTorch by Jeremy Howard, and also the 100 Page ML Book + Machine Learning Engineering by Andriy Burkov

[@SuperNova23333]

What kind of watch is that?

[@mrdbourke]

Daniel Wellington

[@debojyotichakraborty]

2nd one awesome stuff,want to interview you,is it possible?

[@mrdbourke]

Thank you! As for the interview, I’m currently saying no to all interviews: www.mrdbourke.com/now

[@debojyotichakraborty]

So when are you completed with this,I can wait because your guide on ml is great😁 so I want to interview you and want learn from you.

[@osaket]

Solid episode, and look at that masculine godly mullet 🙌

[@mrdbourke]

Thank you Osama! I feel more powerful having it back! Hahaha

[@daodevtv]

To much coffee ? =))))

[@mrdbourke]

& tea & milk & orange juice, fluids galore

[@thriftsimple561]

Thanks for the video, but you took something before you made this video didn't you? The tone reminded me of some old friends. Everything in moderation friend.

[@mrdbourke]

Only coffee + KZbin clips of comedians for a warm up