Machine Learning for Developers

  1. Natural Language Processing for Developers
    1. Text Preprocessing
      1. Text Cleaning
        1. Noise Removal
          1. Normalization
            1. Tokenization
            2. Linguistic Processing
              1. Stemming and Lemmatization
                1. Part-of-Speech Tagging
                  1. Named Entity Recognition
                2. Text Representation
                  1. Traditional Methods
                    1. Bag-of-Words
                      1. TF-IDF
                        1. N-gram Models
                        2. Word Embeddings
                          1. Word2Vec
                            1. GloVe
                              1. FastText
                              2. Contextual Embeddings
                                1. ELMo
                                  1. BERT
                                    1. GPT Models
                                  2. Common NLP Tasks
                                    1. Text Classification
                                      1. Sentiment Analysis
                                        1. Topic Classification
                                          1. Spam Detection
                                          2. Information Extraction
                                            1. Named Entity Recognition
                                              1. Relation Extraction
                                                1. Event Extraction
                                                2. Text Generation
                                                  1. Language Modeling
                                                    1. Text Summarization
                                                      1. Machine Translation
                                                      2. Question Answering
                                                        1. Extractive QA
                                                          1. Generative QA
                                                            1. Conversational AI
                                                          2. Transformer Architecture
                                                            1. Attention Mechanisms
                                                              1. Self-Attention
                                                                1. Multi-Head Attention
                                                                  1. Positional Encoding
                                                                  2. Pre-trained Models
                                                                    1. BERT Family
                                                                      1. GPT Family
                                                                        1. T5 and Variants
                                                                        2. Fine-Tuning Strategies
                                                                          1. Task-Specific Fine-Tuning
                                                                            1. Few-Shot Learning
                                                                              1. Prompt Engineering