Timothy Larson
@DataLarson
Systems Engineer #datascience #splunk #cyber #ai #machinelearning @VT_MIT
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Why are we sport dog training our pet dogs? As more and more trainers become enamored with all the cool stuff that goes along with sport dog training, there’s been an inevitable trickling of that work into the pet dog world. We’re seeing a far greater focus on: more complex…
The toughest part of becoming an AI Data Scientist? Choosing an AI Framework. Here's mine: 1. LangChain $0 2. LangGraph $0 3. OpenAI API ($12/mo) Want to learn how?
Blaming the symptom of a problem will always leave you in a bad place — because you’ll always be looking downstream at what’s happening rather than upstream as to what caused the issue in the first place. The purely-positive/force-free movement in dog training wouldn’t have…
Hey folks I started getting deep into understanding how LLMs are built from the ground up ( I am always of the opinion that if you don't understand how something works from first principles, you will never be able to make the best out of it. ) Below are my resources 1.…
Illegal Timber Trade is a multibillion $ transnational crime. This paper describes a pilot project , w/ @simeone_john , @profnaren & collaborators from @WWF at #VT, gives a concise peak into the challenges & how ML based methods can help address it. journals.plos.org/plosone/articl…
Foundations of LLMs This amazing new LLM book just dropped on arXiv. 200+ pages! It covers areas such as pre-training, prompting, and alignment methods. It looks like a great intro to LLMs for devs and researchers.
If you are new to learning Python or you want to revise a few concepts, This is a MUST SAVE cheat sheet which covers all things Python3 🐍🤓 #BigData #Analytics #DataScience #AI #MachineLearning #Python #Coding #100DaysofCode #ML
This little guy’s efforts deserves unlimited retweets 👍
Training deep neural networks with so many hidden layers can be challenging as per their learning configuration. Batch Normalization is one of the great techniques for the optimization of neural networks. Let's take a look at Batch Normalization and see what it's all about.🧵👇
The final video of Kaggle's 30 Days of Machine Learning will go live in ~1 hour. Watch this video and learn how to improve your rank in the ongoing competition and you might win a Kaggle Swag. Link: youtube.com/watch?v=pasJQ-… Like. Subscribe. Share ;)
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Kaggle's 30 Days Of ML (Competition Part-6): Model Stacking
Just discovered this AMAZING website - "Deep Learning Drizzle" It is a constantly-updated list of machine learning/deep learning course materials that are taught by domain experts and are available for FREE! Check it out here → deep-learning-drizzle.github.io
When working with ML, Data is one of the first priority, in order to train your model. Before the model is trained, the data is cleaned, which requires knowledge about data, in order to process it. Let's explore what is EDA, How is it done, and the steps, Now! ↓
What can possibly be better than Graph Machine Learning and GNNs? Explainable Graph Machine Learning! Check out this #awesome resource from @AstraZeneca including a lot of great research on explainability and reasoning around graphs github.com/AstraZeneca/aw…
Just read his book, amazing to watch.
A story about ethics and possibilities… If you haven’t been keeping up with Winston, the deaf dog we’ve been working with at TGD New Orleans, here’s a short clip to share the incredible progress he’s made. But before you click, I think it’s important that you know that the…
#apolloneuro New Toy - the Apollo Neuro (apolloneuro.com) Currently interested in how the battery life works.
I will be picking this up.
Hooray! My new #DeepLearning book, "Deep Learning: A Visual Approach" from #NoStarchPress is up for pre-ordering! You can D/L chapter PDFs as produced, then get the paper book free! Use the code LEARNING for whopping 35% off until 9/5. nostarch.com/deep-learning-…
Cool !
Every day, this 3 year-old set off a neighbor’s motion detector light when he’d do a lap on his bike through the driveway. This is the neighbor handled it. (sound on 🔊)
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