Results for "computational+linguistics"
Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow
Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Statistical Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Data Manipulation, Model Optimization, Machine Learning Methods, Pivot Tables And Charts, Linear Algebra, Deep Learning, Text Mining, Classification Algorithms, Markov Model, Unsupervised Learning, Data Preprocessing, Python Programming
Coursera
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Natural Language Processing, Text Mining, Data-Driven Decision-Making, Usability Testing, Embeddings, Usability, Unstructured Data, Model Evaluation, Data Analysis
Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, AI literacy, AI Enablement, AI powered creativity, Artificial Intelligence, Large Language Modeling
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Dimensionality Reduction, Large Language Modeling, Machine Learning Methods, Text Mining, Statistical Machine Learning, Fine-tuning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Tensorflow, Logistic Regression, Feature Engineering, Applied Machine Learning
Skills you'll gain: Natural Language Processing, Large Language Modeling, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Data Ethics, Responsible AI, Text Mining, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Embeddings, Data Processing, Machine Learning, Data Analysis, Data Cleansing
What brings you to Coursera today?
Skills you'll gain: LangChain, Prompt Engineering, LLM Application, LangGraph, OpenAI API, Generative AI Agents, AI Orchestration, Agentic systems, AI Workflows, Large Language Modeling, Agentic Workflows, Hugging Face, OpenAI, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, AI Integrations, Application Development, Retrieval-Augmented Generation, Artificial Intelligence
Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering
Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing
Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Engineering Tools, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Transfer Learning, Data Pipelines, Model Training
Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, OpenAI API, Multimodal Prompts, Responsible AI, AI Security, Autoencoders, Model Deployment, Fine-tuning, Application Deployment
Skills you'll gain: Prompt Engineering, AI Security, Secure Coding, Responsible AI, Prompt Patterns, Data Ethics, Prompt Engineering Tools, LLM Application, Vibe coding, ChatGPT, Large Language Modeling, Code Review, AI Integrations, Integration Testing, Generative Model Architectures, Legal Technology, Debugging, Computer Programming, Programming Principles, Quality Improvement
In summary, here are 10 of our most popular computational+linguistics courses
- Tokens to Deployment: NLP, Language Models, & Production API:Â Coursera
- Natural Language Processing with Real-World Projects:Â Packt
- Create Chatbots & NLP Apps:Â Coursera
- Prompt Engineering for ChatGPT:Â Vanderbilt University
- Natural Language Processing:Â DeepLearning.AI
- Mastering NLP: Tokenization, Sentiment Analysis & Neural MT:Â Edureka
- Langchain and Langgraph:Â Packt
- Gen AI Foundational Models for NLP & Language Understanding:Â IBM
- Generative AI Language Modeling with Transformers:Â IBM
- Generative AI Engineering with LLMs:Â IBM
