Timothy Larson @DataLarson

Systems Engineer #datascience #splunk #cyber #ai #machinelearning @VT_MIT United States Joined July 2017

Tweets

588
Followers

77
Following

91
Likes

1K

Sean O'Shea @thegooddogsean

2 months ago

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…

0 1 3 84 0

Download Video

🔥 Matt Dancho (Business Science) 🔥 @mdancho84

5 months ago

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?

9 33 173 15K 155

Download Image

Sean O'Shea @thegooddogsean

6 months ago

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…

0 2 6 174 0

Download Image

Chaithanya Kumar @ChaithanyaK42

7 months ago

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.…

16 89 859 75K 1K

Download Image

Debanjan Datta @devDdata

7 months ago

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…

0 3 4 2K 0

elvis @omarsar0

8 months ago

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.

35 838 5K 400K 8K

Download Image

Age Of Geeks @ageofgeeks_in

4 years ago

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

12 609 1K 0 478

Download Image

Kevin W. @Brink_Thinker

4 years ago

This little guy’s efforts deserves unlimited retweets 👍

16 156 406 0 2

Vishal Parashar @imVParashar

4 years ago

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.🧵👇

3 37 158 0 76

abhishek @abhi1thakur

4 years ago

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 ;)

2 11 114 0 12

Mike Driscoll @driscollis

4 years ago

I think this may be my most popular tweet ever about #Python

Mike Driscoll @driscollis

4 years ago

I think this may be my most popular tweet ever about #Python

20 122 771 0 171

Download Image

0 3 18 0 6

Tanishq Mathew Abraham, Ph.D. @iScienceLuvr

4 years ago

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

21 674 2K 0 1K

Download Image

Sunrit Jana @JanaSunrise

4 years ago

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! ↓

7 71 320 0 164

Kevin W. @Brink_Thinker

4 years ago

Caption this 🤣

14 35 113 0 4

DagsHub @TheRealDagsHub

4 years ago

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…