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2024 Eating Simply 🫐

Lunchtime meal:

• toasted chickpeas (excellent source of fibre = good for gut) + drizzle of olive oil (antioxidants + anti-inflammatory, hat tip  @BryanJohnson  )
• plain biltong (good for protein)
• peach & blueberries for dessert (fibre + antioxidants)

About a handful of each.

4-5 minutes to prepare, fuelled for hours.

My number 1 nutrition tip is to just eat simple whole foods.

Things you could grow/harvest yourself.

Eating well = better performance all round.

Simple foods = delicious + easy to make + better for the environment.

Win, win, win!

--

Photos taken with Nutrify: The Food App 

Yo everyone!

If you've enjoyed my YouTube courses on ML, TensorFlow and PyTorch and looking to learn more/show support, the best way is by purchasing a membership on Zero to Mastery and watching the full courses there.

And right now we're offering the best deal of the year: 27% off annual memberships.

Membership not only gets you access to my hands-on AI and ML courses, it gives you access to all of ZTMs courses (including web development + design + cloud & more).

To get the deal, use the code "BFCM23" at any of the following links:

1. Data Science and Machine Learning Bootcamp -  https://dbourke.link/ZTMmlcourse 
2. TensorFlow for Deep Learning -  https://dbourke.link/ZTMTFcourse 
3. PyTorch for Deep Learning -  https://dbourke.link/ZTMPyTorch 

See you inside! 

PS if you're in the ZTM Discord, feel free to message me @mrdbourke 

​ @AIJasonZ  's channel is an absolute treasure trail of creative uses for LLMs (Large Language Models). 

Code & practical examples to go along with!

Highly highly recommend checking out his videos. 

Epic talk by  @AndrejKarpathy  at Microsoft Build on GPT and other similar models.

The talk could really be titled "How to train and use ChatGPT" because of the fantastic overview and tips.

Especially the take on "ranking is easier than creating new samples" for updating the models to steer towards human preferences.

I took plenty of screenshots throughout.

Highly recommend for those wanting to know the behind the scenes of ChatGPT-like models. 

Epic video by  @robmulla  on how to store data with Pandas for speed/efficiency

I just found out about the difference between:
• CSV
• Parquet
• Feather

Turns out Parquet and Feather can be much faster and have a smaller footprint than CSV files.

If you're saving dataframes with Pandas, check this out: 

5 years since writing the first line and my first novel is now ready to ship worldwide!!!

The quality is outstanding!!

If you like a story with a little love, a little romance, a little machine learning, a little philosophy and a whole lot of walking, you'll love this book.

It's best thing I've ever made.

Check out the launch video, it's a bunch of fun!

Note: No AI was used in the writing of this book, all hand written, hand typed, hand edited, hand packed. 

Friends, the Zero to Mastery Learn PyTorch for Deep Learning course is now live on Udemy!

And there's a discount going for the next ~4 days to celebrate the launch.

Use the code "ZTMGOODIES7" at checkout for the best possible deal.

This course includes 24+ hours worth of content on top of the Learn PyTorch in a day video on my channel.

Including 3 milestone projects!

See more here:  https://www.udemy.com/course/pytorch-for-deep-learning/?couponCode=ZTMGOODIES7 

Happy machine learning! 

@YannicKilcher ’s latest video has got me the most excited for the future of AI I’ve ever been! 

Listen and check out the incredible work of Stability AI! 

@ArjanCodes  Software Design in Python playlist is world-class. 

Three videos in and so many of the Python libraries I use are starting to make far more sense. 

You can never have enough Python knowledge. 

Go and check them out to level up your Python game!

PS Arjan's channel is so close to 100k, so subscribe, it's worth it! 

Big news!

The Zero to Mastery PyTorch course is live!

With 200+ hands-on videos, we'll go through many of the most important machine learning concepts by writing PyTorch code.

If you've got some experience writing Python code and a willingness to learn, you've got all you need.

We'll start at the fundamentals and work all the way through topics such as: 

• Experiment tracking
• Transfer learning (my favourite)
• Custom datasets 
• Model deployment
• Machine learning research paper replicating

Writing each line of code together.

You can check out all of the course materials and sign up here:  https://dbourke.link/ZTMPyTorch 

Use code "PYTORCH15" for 15% off for the first 48 hours.

Let me know if you have any questions, otherwise, I'll see you inside!