Daniel Bourke
Machine learning monthly covers the latest and greatest (but not always the latest) of the machine learning field from the previous month. You can expect exciting machine learning updates as well as dancing.
ML Monthly June 2021 – https://zerotomastery.io/blog/machine-learning-monthly-june-2021/
Learn ML (beginner-friendly course) – https://dbourke.link/mlcourse
Learn Deep Learning + TensorFlow (code-first) – https://dbourke.link/tfcourse
ML courses/books I recommend – https://www.mrdbourke.com/ml-resources/
Read TensorFlow Book (free) – https://learntensorflow.io
Connect elsewhere:
Web – https://dbourke.link/web
Twitch – https://www.twitch.tv/mrdbourke
ArXiv channel (past streams) – https://www.youtube.com/channel/UCKt-z-AVy7duq6-_N-michg
Get email updates on my work – https://dbourke.link/newsletter
Timestamps:
0:00 – Intro
0:32 – Sign up for future issues
1:04 – TensorFlow for Deep Learning Book (learntensorflow.io)
2:20 – Uber’s Data Culture from First Principles
5:01 – Text-based video editing
7:27 – GitHub Copilot (AI-powered partner programming)
9:54 – Microsoft + GitHub + OpenAI
11:03 – Machine Learning Interviews Book by Chip Huyen
17:32 – How Tesla are building full-self-driving (Andrei Karpathy CVPR 2021 talk)
19:48 – Facebook Kats and LinkedIn Greykite (Python time series libraries)
21:24 – All kinds of data augmentation with AugLy by Facebook
23:11 – Made with ML MLOps course complete
25:13 – MLOps toys (a website for MLOps tools)
25:58 – Training Transformers with Compact Transformers in 30-minutes
27:45 – How to think about applying NLP in production by Ines Montani
29:27 – Outro/dancing 🕺
#machinelearningmonthly #machinelearning
First Dislike
i have ur course at udemy its great but when are u uploading the missing parts
Soon 100k Let's go keep posting. Can we also have ml project videos or anything fun with the combination of ml and some games?
Miss your Mohawk bro 😂😅
Great!!!
Thanks for resources 🙂
If this could be titled like a F.R.I.E.N.D.S episode it would be like
“The one with the best Dancing skills” .
Thank you Daniel for making this great resource every month.
The movement at start of the video, from that moment I knew this is going to be great 😁
Read the blog version but the video one is always special.
My Deep Learning and Tensorflow Guru …
I did the whole entire course by myself writing and rewriting every line of code in my own style! I can't thank you enough for your efforts, Daniel!
If anybody is interested, here is my exploration of the course.
Github Repo: https://github.com/abhi8893/tensorflow-deep-learning-mrdbourke
Github Pages: https://abhi8893.github.io/tensorflow-deep-learning-mrdbourke/
I have developed it into an installable python package, followed the whole git branching workflow, managed the tasks and issues using Github Project Boards. I even made the github-pages website just like the original course, so I also learned a bit of Github Actions along the way.
Again, all credit goes to Daniel Bourke! This was only possible because I left my job, and I am hoping to take the Tensorflow Developer Certificate exam soon. Even if I don't get a data scientist job, I am hopeful I will get it one day. It can take months, or maybe even a year, but I know I will get it. Whatever happens, I will not stop learning. You are the one who keeps inspiring me every day to get up and do things properly. I am not half as productive as you are, Daniel. Thank you for your inspiration and your awesome content!
Please give a star to my repository if you find it helpful ❤
Great stuff Daniel!
Some of this AI stuff is insane
I’m only 10 mins into the video but that text-based video editing blew my mind! I’m still mind blown.. loving your content dude!
That's nice for folks like me. Am I the only person who has never finished a single course (videos and such)…very old school. Books always stick much better with me.
Probably the same reason why I could never learn from teachers or in school!
awesome. Thx
The Master is back with his great recipes ….. 🙂
Enjoyed it Completely !!
非常好 赞👍
Daniel, we need a monthly dance tradition! 😀
that rain dance, in the beginning, was hilarious 😂 🤣 But you making great content videos buddy!
So pretty much Open AI got access to all of the source codes on GitHub and used machine learning to create an AI that can use natural language to create more code. Open AI already has access to all of googles servers which means they are well on there way to building something they can embed into Word Docs that will be able to create literally anything you want using a word Document….🤯. And that is how AGI is born….
So pretty much Open AI got access to all of the source codes on GitHub and used machine learning to create an AI that can use natural language to create more code. Open AI already has access to all of googles servers which means they are well on there way to building something they can embed into Word Docs that will be able to create literally anything you want using a word Document….🤯. And that is how AGI is born….
Thanks for being a torchbearer for so many people like me. <3
Daniel when time series ML will be uploaded in Udemy. Currently i am about to finish transfer learning.
Amazing ML monthly as always, Daniel!
As usual another great video. Much impressed!!
Jajajajajajaja que genio, ame el baile.
That text based editing research is scary/dangerous
Hey Denial, your ways are amazing, you made me smile just by doing your thing ( sharing knowledge.) keep the videos coming every month. love from India.
Oh my the text based video editing is actually scary but is very cool, it almost looks flawless, like the face and voice, WOW! But great video as always mate, Dancee!!
Great stuff again! Thanks for that!
Bro, Can you make a video for ML like your Tensorflow tutorial
@Daniel Bourke , I am using Tensorflow and I am doing data augmentation on fly using keras.Sequential but I get this error "Input 0 of layer lstm_3 is incompatible with the layer: expected ndim=3, found ndim=4. Full shape received: (None, 30, 126, 3)". I checked for solutions on google but I am unable to implement it. Any tips please?
What a beautiful guider .i love lot, I think u are great tool for me, like tensor flow for deep learning 👍
Hi great video. Can I use open source code (it doesn't have a license) in my app which I plan to make commercially available? Thanks
Your tutorials are the best, thank you.
Hi Daniel. How important is knowing about machine learning Hardware ? Can you please do a video about it or send some links that I can read if you have time?
Daniel thanks for your awesome videos, but I have an question to ask you?
I'm beginner in ML and I can write some simple projects in Scikit-Learn and predict, but I have heard that Deep Learning is better and stronger, and working more in ML id waste of time.
Here is my question, should I move to deep learning with my little knowledge about ML, or I should move on to DL?
If your answer is ML, what should I do?
I want to purchase a subscription of ZTM, I took the quiz, and got the path for becoming an ML Engineer. If I follow the entire course, will that be sufficient to get an entry level, part time job?