Hey there,
I am a student of computer science and specialization in Artificial intelligence and machine learning
I am looking for a 3 months internship in machine learning.
I have done one intership previously at UST as a Machine learning intern
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Yogesh Jamdade
Stealth • 4m
Tools for developers:
Unleash Machine Learning with Colab (Free!)
Google Colab lets you explore machine learning without needing a fancy computer. It's free, cloud-based, and runs on powerful servers.
Train complex models and analyze massive data
Anyone have any interest or idea in machine parts manufacturing business?
2 replies5 likes
Pranjal Pandey
•
CompSci • 7m
Here are some AI tools which are useful for the startups:
1. TensorFlow and PyTorch: Open-source frameworks for building machine learning models.
2. IBM Watson: Offers AI tools and services like natural language understanding and computer vision.
NVIDIA- THE DOMINANT FORCE
1. NVIDIA is a leading force in AI and GPU technology.
2. Their GPUs, like the H100 Tensor Core, are critical for AI development, including training models like ChatGPT.
3. NVIDIA's stock has surpassed a $1 trillion ma
Nvidia's journey (2/2)
began in 1993 with Jensen Huang, Curtis Priem, and Chris Malachowsky aiming to revolutionize digital interaction. By 1999, their GeForce 256 GPU set new standards for 3D graphics, making waves in the tech world.
The early 200
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Inayat Hasan
Stealth • 4m
[This post has been deleted by the creator]
0 replies6 likes
Haran Naresh K
Stealth • 1m
Harnessing GPU Power with CUDA
CUDA (Compute Unified Device Architecture) is a parallel computing platform by Nvidia that unleashes the power of GPUs for more than just graphics rendering. Initially developed in 2007, CUDA enables massive parallel p
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lakshya sharan
Stealth • 4m
Random Thought :
I was wondering, why ChatGPT weren't build on the Increment Learning modle..
Because I might destroy it's algo....
Let me expain..
In the world of machine learning, training models can be approached in two main ways, Batch Lea
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Harshabardhana Parida
Stealth • 6m
The Importance of Analyzing Data 📊
Analyzing data is crucial for gaining insights and taking corrective actions. Through Exploratory Data Analysis (EDA), we understand data better and make informed decisions. Machine learning predicts outcomes, aid