#AlgorithmicTrading Chart Patterns for Technical Analysis: https://
fidelity.com/bin-public/060
_www_fidelity_com/documents/learning-center/Idenitfying-Chart-Patterns.pdf
… by @Fidelity Books:
— http://
amzn.to/42X1Erv by @alisermettas — http://
amzn.to/3aCyVwY by @ml4trading — http://
amzn.to/3uvYlKk by @__chrisconlan__
— http://
amzn.to/3T8i9gX by @NEoWaveTheory
MACHINE LEARNING
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Algorithmic Trading Chart Patterns Technical Analysis Resources
By
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Unlock AI Power in Trading with Algorithmic Strategies Book
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Unlock the power of #AI in Trading #AlgorithmicTrading book: "Mastering Financial Trading — A Deep Dive into AI, Investment, Robot Trading, and Arbitrage Strategies": http://
amzn.to/42X1Erv by @alisermettas -
AI’s Past Limitations: A History of Wrong Predictions
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L’IA ne gagnera jamais aux échecs
L’IA ne gagnera jamais au GO
L’IA ne saura jamais faire des maths L’IA ne saura jamais parler
L’IA ne dépassera jamais un médecin
L’IA….. -
Streamlit: Transform Data Scripts into Interactive Web Apps
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Streamlit turns your data scripts into shareable web apps in minutes: http://
streamlit.io
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"Streamlit for #DataScience" = Step-by-step guide to building interactive data apps in #Python — http://
amzn.to/45bY8IZ v/ @PacktDataML ———
#DataScientist #AI #ML #DataViz #Analytics -
Essential LLM Fine-Tuning Techniques to Master
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LLM fine-tuning techniques I'd learn if I were to customize them:
— Akshay 🚀 (@akshay_pachaar) 11 janvier 2026
Bookmark this.
1. LoRA
2. QLoRA
3. Prefix Tuning
4. Adapter Tuning
5. Instruction Tuning
6. P-Tuning
7. BitFit
8. Soft Prompts
9. RLHF
10. RLAIF
11. DPO (Direct Preference Optimization)
12. GRPO (Group Relative… pic.twitter.com/PQ5VrHyr34LLM fine-tuning techniques I'd learn if I were to customize them: Bookmark this. 1. LoRA
2. QLoRA
3. Prefix Tuning
4. Adapter Tuning
5. Instruction Tuning
6. P-Tuning
7. BitFit
8. Soft Prompts
9. RLHF
10. RLAIF
11. DPO (Direct Preference Optimization)
12. GRPO (Group Relative -
Fine-Tuning LLMs on NVIDIA GPUs With Unsloth
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How to Fine-Tune an LLM on NVIDIA GPUs With Unsloth https://
buff.ly/X4IBsan
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Evidence for MoE Scaling vs Larger Pre-training Models
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But is there evidence that they actually do that? I mean lots of companies could theoretically do that, but is it worthwhile compared to pre-training larger models (more experts) or using that compute for additional post-training?
PS: also there are two companies that have TPUs -
MCP and Agent2Agent Protocol for Data Science Applications
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MCP & A2A (Agent2Agent) Protocol! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://t.co/zZMPCFXC71 pic.twitter.com/LFnTQptQbs
— Dr. Ganapathi Pulipaka 🇺🇸 (@gp_pulipaka) 11 janvier 2026MCP & A2A (Agent2Agent) Protocol! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/MCP-A2A-Protoc
ol
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The Book of R: Data Science and Machine Learning Guide
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The Book of R! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/The-Book-of-R -
Core Components of AI Models: ML Frameworks and Technologies
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Core Components of an AI Model! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode