Advert description
Master in Computer Science from the State University of Campinas (Brazil) and university professor in Peru. I have participated in the most important Artificial Intelligence conferences including NeurIPS, ICML, ICLR, KDD, ICCV and CVPR, summer schools such as Machine Learning (MLSS), Deep Learning (DLRL) and Probabilistic ML (ProbAI). I have also participated in several programming contests and I have experience in preparing interviews for applications to companies such as Google, Meta, Microsoft, among others. I have extensive experience in the areas of Machine Learning and Deep Learning applied mainly to computer vision and natural language processing.
I have experience in teaching, providing illustrative explanations for a better understanding of both the theoretical and practical part. I have advised students from different countries in their graduation and master's theses, providing them with the theoretical and practical basis with examples that they can then use to continue their development.
Some of the topics I can help you with:
- Machine Learning: Linear regression, logistic regression, regularization, LDA, QDA, SVMs, decision trees, random forest, boosting, PCA, clustering (K-means, DBSCAN, hierarchical, GMM), neural networks, model selection, performance metrics evaluation, MLE, Bayesian learning, data preprocessing, etc.
- Deep Learning: Multilayer perceptron (MLP), backpropagation, activation functions, multiclass classification, optimizers (SGD, Adam, RMSProp, etc.), CNNs, architectures (ResNet, DenseNet, EfficientNet, Siamese, etc.), RNNs, LSTMs, Seq2seq, Attention, Transformers (BERT, GPT, ViT, etc.), autoencoders, generative models (VAE, GAN, Diffusion, etc.), etc.
- Languages: Python, C++
- Libraries and frameworks: PyTorch, Tensorflow, Keras, Huggingface, numpy, pandas, scikit-learn, sympy, etc.
I do not solve exams but I can guide you to do them on your own.
I can help you with your homeworks or projects!
Classes are taught from Peru
