LDA...
machinelearningflashcards.com
#machinelearning #ML #datascience
Posts by Ben E.
Imposter syndrome is REAL! Sometimes I pass up on things I really should just put myself out there for. When I do get past it, I convince myself I have little to lose and everything to gain. The risk/reward ratio there is HEAVY in our favor.
What are some of your fave self-learning data science and adjacent resources? What’s holding your attention and keeping you motivated? #databs
I’ve used DataCamp for years to learn new things. Outside of that, picking up small and diverse freelance jobs has forced me to self teach new things or learn more about different domains.
I just had one of those painful conversations.
SME: "We've got loads of data, what can you do with it?"
DS: "What problems are you trying to solve?"
SME: "I was hoping you could tell me..."
Then SME loses faith in what DS can do, opportunity missed.
Ideally you're a data scientist that already has some domain expertise, but that's very hard for niche work (DoD is a great example). Asking introverted individual contributors to join teams and start asking questions can be really tough.
I used BlueArk to transfer all of my content from X. It worked great!
@blueark.app
Recommend for anyone making the move.
Know more than just accuracy...
machinelearningflashcards.com
#machinelearning #AI #DataScience #MLSky
I just saw the same thing. I noticed he updated the link on the cards and started referencing that. I'll probably go back to citing machinelearningflashcards.com until it's actually connected.
I don't know if "pirated" is the right word. I purchased them directly from his website, then like to share them (listing his website as the source) because I think they're great.
Gradient Descent...
aiflashcards.com
#MachineLearning #ML #MLSky #AI #DataScience
Gradient Descent...
http://aiflashcards.com
#machinelearning #DataScience
I haven't found Soledad Galli on bsky yet, but agree. Great content!
Great advice on keeping your skills fresh and staying curious!
#MachineLearning #ML #AI #DataScience #MLsky
towardsdatascience.com/how-to-up-sk...
That's such a simple yet great idea for a reference book for any machine learning person.
The first pages look very promising, I love the visuals for the metrics:
It's lights out and away we go! 🏎️🏎️🏎️
http://aiflashcards.com
#machinelearning #DataScience #ai
Get your splits right :)
machinelearningflashcards.com
#MachineLearning #DataScience #ML #AI
Naming conventions will make your code base 2x more readable overnight.
In Python:
• THIS_IS_A_CONSTANT
• ThisIsAClass
• this_is_a_function
• this_is_a_variable
It's really hard to read someone else's code when they don't follow conventions, so don't be that person.
EDA is fun!
Interested in machine learning in science?
Timo and I recently published a book, and even if you are not a scientist, you'll find useful overviews of topics like causality and robustness.
The best part is that you can read it for free: ml-science-book.com
F1 score, combines precision and recall!
machinelearningflashcards.com
#MachineLearning #ML #DataScience #DataAnalytics #Data
Good read to get you started in time series models:
#MachineLearning #ML #DataScience #Data
towardsdatascience.com/arima-a-mode...
Used this a lot, particularly in grad school.
Gradient Boosted Trees is the most popular machine learning technique in the industry right now.
In Computer Vision, ResNets are by far #1.
If you only want to focus on two, make them XGBoost and ConvNets.
Machine Learning models do not predict the future.
They just find patterns in the past.
Great method for evaluating classifier performance.
machinelearningflashcards.com
#machinelearning
#datascience