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🤖 Artificial Intelligence Roadmap 🧠 |-- Fundamentals |  |-- Mathematics |  |  |-- Linear Algebra |  |  |-- Calculus |  |  |-- Probability & Statistics |  |  └─ Discrete Mathematics |  | |  |-- Programming |  |  |-- Python |  |  |-- R (Optional) |  |  └─ Data Structures & Algorithms |  | |  └─ Machine Learning Basics |    |-- Supervised Learning |    |-- Unsupervised Learning |    |-- Reinforcement Learning |    └─ Model Evaluation & Selection |-- Supervised_Learning |  |-- Regression |  |  |-- Linear Regression |  |  |-- Polynomial Regression |  |  └─ Regularization Techniques |  | |  |-- Classification |  |  |-- Logistic Regression |  |  |-- Support Vector Machines (SVM) |  |  |-- Decision Trees |  |  |-- Random Forests |  |  └─ Naive Bayes |  | |  └─ Model Evaluation |    |-- Metrics (Accuracy, Precision, Recall, F1-Score) |    |-- Cross-Validation |    └─ Hyperparameter Tuning |-- Unsupervised_Learning |  |-- Clustering |  |  |-- K-Means Clustering |  |  |-- Hierarchical Clustering |  |  └─ DBSCAN |  | |  └─ Dimensionality Reduction |    |-- Principal Component Analysis (PCA) |    └─ t-distributed Stochastic Neighbor Embedding (t-SNE) |-- Deep_Learning |  |-- Neural Networks Basics |  |  |-- Activation Functions |  |  |-- Loss Functions |  |  └─ Optimization Algorithms |  | |  |-- Convolutional Neural Networks (CNNs) |  |  |-- Image Classification |  |  └─ Object Detection |  | |  |-- Recurrent Neural Networks (RNNs) |  |  |-- Sequence Modeling |  |  └─ Natural Language Processing (NLP) |  | |  └─ Transformers |    |-- Attention Mechanisms |    |-- BERT |    |-- GPT |-- Reinforcement_Learning |  |-- Markov Decision Processes (MDPs) |  |-- Q-Learning |  |-- Deep Q-Networks (DQN) |  └─ Policy Gradient Methods |-- Natural_Language_Processing (NLP) |  |-- Text Processing Techniques |  |-- Sentiment Analysis |  |-- Topic Modeling |  |-- Machine Translation |  └─ Language Modeling |-- Computer_Vision |  |-- Image Processing Fundamentals |  |-- Image Classification |  |-- Object Detection |  |-- Image Segmentation |  └─ Image Generation |-- Ethical AI & Responsible AI |  |-- Bias Detection and Mitigation |  |-- Fairness in AI |  |-- Privacy Concerns |  └─ Explainable AI (XAI) |-- Deployment & Production |  |-- Model Deployment Strategies |  |-- Cloud Platforms (AWS, Azure, GCP) |  |-- Model Monitoring |  └─ Version Control |-- Online_Resources |  |-- Coursera |  |-- Udacity |  |-- fast.ai |  |-- Kaggle |  └─ TensorFlow, PyTorch Documentation React ❤️ if this helped you!
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Read #HighlyCitedArticle "Transformers in the Real World: A Survey on NLP Applications" by Narendra Patwardhan, Stefano Marrone and Carlo Sansone. See more details at: mdpi.com/2078-2489/14/4/242# #transformers #natural_language_processing @ComSciMath_Mdpi
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#Automated_indexing may be performed using a range of computer-based methods, #algorithms (hence, the phrase algorithmic indexing), #natural_language_processing and even #artificial_intelligence (AI). Most library databases and indexes use some form of AI. wiki.ubc.ca/Automated_indexi…

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13 Jan 2025
PhD Position in Natural Language Processing To read the full job description and apply, see link in the thread! #natural_language_processing #ScienceJobs
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11 Jan 2025
PhD Position in Natural Language Processing To read the full job description and apply, see link in the thread! #natural_language_processing #ScienceJobs
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7 Dec 2024
New model alert! 👉 Introducing "llama-3.3-70b-instruct" 🐦 A multilingual large language model optimized for dialogue use cases. Download it now with #local-ai run llama-3.3-70b-instruct 🚀 #ai #natural_language_processing #llama #huggingface #gpu #cpu
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#AI #reconfigurable_manufacturing_systems #AI_enabled_decision_making #natural_language_processing #ChatGPT 📚 Hot New Publication! We’re thrilled to present the new publication by [Dr.Hamed Gholami] @UCAuvergne Delve into the latest findings here: mdpi.com/2504-2289/8/11/152
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The last day of #SFLA2024 begins with the session given by @Karel_Gutierrez, where in an eminently practical way and with numerous examples he has developed multiple approaches based on #fuzzy_logic for #natural_language_processing and social #network_analysis.
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Tasks such as #natural_language_processing, #computer_vision and #recommendation_systems are done with the speed of light. Cheers to researchers and #data_scientists for this ground breaking innovation. #ai #AIDeFi #shill #Bullrun2024
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Diagnosing psychiatric disorders from history of present illness using a large-scale linguistic model onlinelibrary.wiley.com/doi/… #BERT_based_prediction #diagnostic_prediction #diagnosis #history_of_present_illness #natural_language_processing
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Replying to @AbrarSuleiman
All nations have their own language, There is no time to #trouble with your #symbolic figures. I invite you to read #Natural_language_processing.
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Advancements in #technology have made #Natural_Language_Processing (#NLP) more popular in the #financial sector❕❕❕ 🔛Check out more about this on our website: bit.ly/3NJdG25 👍Check us out on Instagram: instagram.com/markelitics/
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