#FACS

Muscle-by-muscle smile demo for 3D artists. I used FACS naming conventions, so if you need to translate the names into ARKit terms: Also, this is exaggerated for demo purposes. Experiment with different shape combos for best results! #arkit #FACS #3dart

If you’re looking to learn about FACS, facial expressions, or facial anatomy - I’ve got some free resources and references to share with you :) With still photos and GIFs! #facs #animation #vfx #gamedev #characterdesign #facetech

Officially inducted as a Fellow of the American College of Surgeons (#FACS)! Reaching this milestone is a dream come true. Deeply grateful for the journey, my passion for #urology , and the constant support of my family. So proud and thankful to practice in this great country 🇺🇸🇺🇸🇺🇸🇺🇸! @AmCollSurgeons #USA

Officially a Fellow of the American College of Surgeons! Proud inductee at today’s convocation ceremony. #ACS_2022 #FACS @jennifermov

I am very honored to be inducted as a fellow of the American College of Surgery. Grateful for my family and all my mentors who helped make this possible. @DukeSurgery @dukepedssurgery #FACS #ACSCC2024

Excited and honored to be inducted as a Fellow into the @AmCollSurgeons today! #FACS #convocation #surgeonstrong

RT @heenastat: Dr Edgar Rodas receives honorary #FACS Humanitarian. Servant of Public Health. #ACSCC14 Convocation

Celebrating the Convocation by dressing up and cooking a fancy dinner. #ACSCC2020 #FACS

MACHINE LEARNING ENGINEER ROADMAP │ ├── 1. Programming Fundamentals │ ├── Python │ │ ├── Variables & Data Types │ │ ├── Loops & Conditionals │ │ ├── Functions & Modules │ │ ├── OOP & Exception Handling │ │ ├── List Comprehensions │ │ ├── File Handling │ │ └── Virtual Environments │ ├── Data Structures & Algorithms │ ├── Git & GitHub │ └── Linux & Command Line │ ├── 2. Mathematics for Machine Learning │ ├── Linear Algebra │ │ ├── Vectors & Matrices │ │ ├── Matrix Operations │ │ ├── Eigenvalues & Eigenvectors │ │ └── Matrix Decomposition │ ├── Calculus │ │ ├── Derivatives │ │ ├── Partial Derivatives │ │ ├── Gradients │ │ └── Chain Rule │ ├── Probability │ │ ├── Random Variables │ │ ├── Probability Distributions │ │ └── Bayes' Theorem │ └── Statistics │ ├── Mean, Median & Mode │ ├── Variance & Standard Deviation │ ├── Hypothesis Testing │ └── Correlation & Regression │ ├── 3. Data Analysis & Manipulation │ ├── NumPy │ ├── Pandas │ ├── Matplotlib │ ├── Seaborn │ ├── Data Cleaning │ ├── Data Transformation │ ├── Exploratory Data Analysis (EDA) │ ├── Missing Values & Outliers │ └── Feature Engineering │ ├── 4. SQL & Database Fundamentals │ ├── SQL Queries │ ├── Joins & Subqueries │ ├── Aggregations │ ├── Window Functions │ ├── PostgreSQL │ ├── Database Design │ └── Data Warehousing Basics │ ├── 5. Machine Learning Fundamentals │ ├── What Is Machine Learning? │ ├── Supervised Learning │ │ ├── Linear Regression │ │ ├── Logistic Regression │ │ ├── Decision Trees │ │ ├── Random Forest │ │ ├── Support Vector Machines │ │ └── K-Nearest Neighbors │ ├── Unsupervised Learning │ │ ├── K-Means Clustering │ │ ├── Hierarchical Clustering │ │ └── Principal Component Analysis │ ├── Reinforcement Learning Basics │ ├── Training & Testing Data │ ├── Cross-Validation │ ├── Overfitting & Underfitting │ ├── Regularization │ └── Hyperparameter Tuning │ ├── 6. Machine Learning Algorithms │ ├── Linear & Polynomial Regression │ ├── Naive Bayes │ ├── Gradient Boosting │ ├── XGBoost │ ├── LightGBM │ ├── CatBoost │ ├── Ensemble Learning │ └── Model Evaluation & Optimization │ ├── 7. Machine Learning Frameworks │ ├── Scikit-learn │ ├── XGBoost │ ├── LightGBM │ ├── CatBoost │ ├── Feature Pipelines │ ├── Model Serialization │ └── Custom Transformers │ ├── 8. Deep Learning │ ├── Neural Network Fundamentals │ ├── Perceptrons │ ├── Activation Functions │ ├── Forward & Backpropagation │ ├── Gradient Descent │ ├── Loss Functions │ ├── Optimizers │ ├── Convolutional Neural Networks (CNNs) │ ├── Recurrent Neural Networks (RNNs) │ ├── LSTMs & GRUs │ ├── Transformers │ └── Transfer Learning │ ├── 9. Deep Learning Frameworks │ ├── PyTorch │ │ ├── Tensors │ │ ├── Autograd │ │ ├── nn.Module │ │ ├── DataLoaders │ │ └── Training Loops │ ├── TensorFlow │ ├── Keras │ ├── GPU Acceleration │ └── Distributed Training Basics │ ├── 10. Natural Language Processing (NLP) │ ├── Text Preprocessing │ ├── Tokenization │ ├── Stemming & Lemmatization │ ├── Word Embeddings │ ├── Word2Vec & GloVe │ ├── Attention Mechanisms │ ├── Transformers │ ├── BERT & GPT Architectures │ ├── Hugging Face │ └── Fine-Tuning Language Models │ ├── 11. Computer Vision │ ├── Image Processing │ ├── Image Classification │ ├── Object Detection │ ├── Image Segmentation │ ├── OpenCV │ ├── YOLO │ ├── Vision Transformers │ └── Image Augmentation │ ├── 12. Generative AI & LLM Engineering │ ├── Large Language Models (LLMs) │ ├── Prompt Engineering │ ├── Embeddings │ ├── Vector Databases │ ├── Retrieval-Augmented Generation (RAG) │ ├── Semantic Search │ ├── LLM Fine-Tuning │ ├── LoRA & QLoRA │ ├── AI Agents │ ├── Model Evaluation │ └── LLM Inference Optimization │ ├── 13. MLOps & Model Deployment │ ├── ML Model Lifecycle │ ├── Experiment Tracking │ ├── MLflow │ ├── Weights & Biases │ ├── Model Versioning │ ├── Data Versioning (DVC) │ ├── Model Serving │ ├── FastAPI & Flask │ ├── REST APIs │ ├── Batch & Real-Time Inference │ ├── Model Monitoring │ └── Model Retraining │ ├── 14. Cloud & Infrastructure │ ├── AWS │ │ ├── Amazon S3 │ │ ├── EC2 │ │ ├── SageMaker │ │ └── Lambda │ ├── Google Cloud │ │ ├── Vertex AI │ │ └── BigQuery │ ├── Microsoft Azure ML │ ├── Docker │ ├── Kubernetes │ ├── CI/CD Pipelines │ ├── Terraform │ └── GPU & Cloud Computing │ ├── 15. Data Engineering for ML │ ├── ETL & ELT Pipelines │ ├── Apache Airflow │ ├── Apache Spark │ ├── Kafka │ ├── Data Lakes │ ├── Data Warehouses │ ├── Feature Stores │ └── Data Quality & Validation │ ├── 16. Model Optimization & Production │ ├── Model Quantization │ ├── Model Pruning │ ├── Knowledge Distillation │ ├── ONNX │ ├── TensorRT │ ├── Model Compression │ ├── Latency Optimization │ ├── Scalability │ └── Production Reliability │ ├── 17. Responsible AI & Security │ ├── AI Ethics │ ├── Bias & Fairness │ ├── Explainable AI (XAI) │ ├── SHAP & LIME │ ├── Data Privacy │ ├── Model Security │ ├── Adversarial Attacks │ └── AI Governance │ ├── 18. Build Real-World Projects │ ├── House Price Prediction System │ ├── Customer Churn Prediction │ ├── Fraud Detection System │ ├── Recommendation Engine │ ├── Spam Detection System │ ├── Stock Price Forecasting │ ├── Image Classification App │ ├── Object Detection System │ ├── Sentiment Analysis API │ ├── RAG-Based AI Assistant │ ├── AI Document Processing System │ └── End-to-End ML Production Pipeline │ └── 19. Career Preparation ├── Build a Strong GitHub Portfolio ├── Create an ML Engineering Resume ├── Master ML System Design ├── Practice Python & SQL Interviews ├── Solve ML Case Studies ├── Learn Model Deployment at Scale ├── Contribute to Open Source ├── Write Technical Articles └── Apply for Machine Learning Engineer Roles FINAL GOAL: Become a Production-Ready Machine Learning Engineer

3Dポートレート用に作った フェイシャルリグテスト。 #3DCG #FACS

I am truly honored and humbled to be inducted as a Fellow of the American College of Surgeons!! Thank you to my family, friends, mentors and colleagues who have supported me!! #FACS #ACSCC21 @AmCollSurgeons @MUSCVascular @UPMC_Vascular

In some ways it’s even more meaningful to be inducted virtually #FACS this yr @AmCollSurgeons #ACSCC2021 10 yrs as a surgeon & 2 boys later Watched convocation w the fam, inspired by @JFreischlag our new #ACS president! Honored to be part of the 27% women inducted! @rwjsurgery

FACS Cheat Sheet got a makeover. Working on the full site over the next few months to upgrade the imagery to be 1. lighter weight 2. better quality. In the meantime, expect a lot of style changes and structure updates :) I HOPE YOU LIKE IT!! #FACS

Thank you to all my mentors over the years who have helped me achieve this wonderful milestone: becoming a fellow of the ACS!!! #FACS #ACSFellow @AmCollSurgeons @MCWSurgery @MCWVascSurg @StanfordSurgery @MGHVascular @MGHSurgery

Calling all Family and Consumer Science Teachers! Just started a Facebook group for FCS Ts interested in #gamifying their classroom & we are almost 800 members strong! Live chat every Mon at 7:30pm CST & lots of support and resources shared! Spread the word!💫 #FACS #FCS #CTE

My journey started on July 1st, 2013, finally complete on Oct 16th, 2022. 9 years in the making, but honored to officially be a fellow of the American College of Surgeons. 🎉 Innumerable people to thank for being my support & helping me get here. #ACSCC2022 #FACS #MEDtwitter

Today, I'm thinking about everyone who made this moment possible. The people who stood in long lines, marched in the heat and fought for the right to vote long before any of us were here. They didn't always get to see the change they fought for. But they believed in it anyway, and that belief carried us here. This people-powered movement was built the same way. Not by one person, but by all of us, one conversation, one door, one neighbor at a time. We're part of something way bigger than ourselves.  It might be my name and face in this race, but this movement we’ve built in the past year is more than just Angie Nixon. This is YOURS. This is for the people of Florida.  So today, let’s honor our ancestors and our families by finishing what they started, and winning this race.  Polls are open, Florida. Change starts with voting. Let’s go! Find your polling location at #AngieForFlorida

Honored to finally earn #Fellowship within the @AmCollSurgeons! Thank you to all the family, mentors, colleagues and trainees who have supported me along the way! #FACS @HarborUCLASurg, @MayoVascSurgery, @HHC_vascular

can you jerk off infront of my face please

Collaborating with the #dreamteam (and some furry friends) to navigate distance learning in #FACS 🥰 #WeGotThis #LeydenPride