The consulting team can provide guidance and assistance on many of the following methodologies:
- Supervised Learning: Linear/Logistic Regression, Support Vector Machines (SVM), Decision Trees, Random Forests, Gradient Boosting (XGBoost, LightGBM)
- Unsupervised Learning: K-means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), t-SNE, UMAP
- Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs), Transformers (BERT, GPT, T5)
- Natural Language Processing: Tokenization, Named Entity Recognition (NER), Sentiment Analysis, Topic Modeling
- Specialized Packages: TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers
- Reinforcement Learning: Q-learning, Deep Q-Networks (DQNs)