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Meet the 38-year-old algorithm powering the trillion-dollar AI industry. Backpropagation solves the "credit assignment problem", telling a neural network exactly which of millions of weights to blam
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Your AI agent has been forgetting you every single day. Hermes just changed that. Nous Research recently shipped an open-source agent runtime that most developers are still sleeping on. Hermes doesn'
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AI engineering is more than just theory; it’s about building real-world solutions. Here are 10 AI agents every AI engineer must build to sharpen their skills: πŸ”Ή Recommendation Agent - Dive into coll
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Day 28 of the Daily Deep-Dive Series: Deep Feedforward Networks Depth is not just about adding more layers to a neural network. It changes how the model learns. A shallow network may be able to app
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πŸš€ Fine-tuning LLMs locally has never been easier! If you’re looking to experiment, optimize, or deploy models efficiently, these 10 open-source libraries are game changers: ✨ Unsloth – Fast, memory-
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Day 27 of our Deep Dive series takes a closer look at Feedforward Networks (FFNs), the backbone of neural networks. These networks are deceptively simple: data flows from input to output through one
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People turn to AI for guidance, but how unbiased is the advice? Claude’s life advice data reveals some interesting patterns: 🟒 Key stat 6% of Claude.ai conversations are users seeking personal guida
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High-dimensional data can be tricky to explore, but Self-Organising Maps (SOMs) make it intuitive and visual. Here’s what you need to know: 🟒 Explore the problem High-dimensional datasets like custo
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πŸ”— LangChain vs LangGraph: most people are using both without realizing it. Here's the relationship nobody explains clearly: LangChain agents are built on top of LangGraph. LangChain is the dashboar
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Day 25 of our Deep Dive Series: Liquid State Machines Real-world signals like speech, sensor data, and neural patterns flow continuously and overlap in time. Standard RNNs struggle to capture these e
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Spending too much on Claude Code? Here's how to cut costs without changing how you work. πŸ‘† Swipe through. A few small changes make a big difference: β†’ Clear your chat between tasks β†’ Set a lower au
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Day 24: Deep Dive into Epochs In machine learning, the concept of an epoch is fundamental but often misunderstood. An epoch represents one full pass through the entire training dataset, where each sa
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About @analytics_vidhya

Analytics Vidhya | Data Science Community is a Instagram macro influencer in the Education category. With 182.7K followers and 12 posts, analytics_vidhya's account shows a follower-to-following ratio of 36534.8:1. This profile has significant reach and engagement potential for brand collaborations. View all content anonymously on Pictame - no login required.

analytics_vidhya's engagement rate sits at 0.18%. For accounts with 100K-500K followers, the average is around 1.8%, so there's some room to grow β€” though every community is unique.

Out of the last 12 posts, 0% are videos and 100% are photos. Captions lean detailed, averaging 1144 characters.

0.18% engagement rate β€” room to grow compared to average for 100K-500K follower accounts.
36534.8:1 follower-to-following ratio.

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@analytics_vidhya

Analytics Vidhya | Data Science Community

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