Data Structures and Algorithms classes, Preparation for Interviews at Google, Microsoft, among others

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From 28.33 Fr /h

Master in Computer Science from the State University of Campinas (Brazil). He has participated in various programming contests and has been a coach of undergraduate teams for the ACM-ICPC contest. Some of the achievements:

- First place in Codesignal in Peru.
- Third place in LeetCode in Peru (+1000 problems solved).
- Top 1% of registered users on InterviewBit.
- More than 1000 problems solved in online judges like UVA, Spoj, HDU, etc.

I have participated in Topcoder, CodeJam and other international competitions that require knowledge of algorithms and data structures. I am the author of the blog "Algorithms and More" where I have written tutorials in Spanish with more than 300 daily views.

I have experience preparing interviews to apply to companies such as Google, Facebook, Microsoft, among others.

The methodology is didactic with a step-by-step explanation of the algorithms and coding. I can also give advice on studies abroad, job opportunities in large technology companies (Google, Microsoft, etc.) and many other opportunities.

If you want to improve your abstraction|logic and make your university projects easy to program, this is your opportunity.

I do not solve exams.

PS: If you are interested in artificial intelligence, you can look for my other ad about it.

Knowledge of C, C++, Python.

Location

Online from Peru

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

Spanish

English

Portuguese

Skills

C - c++

Computer programming

Algorithms

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Private or group classes of Machine Learning and Deep Learning

34 Fr /h

Master in Computer Science from the State University of Campinas (Brazil) and university professor in Peru. He has participated in the most important Artificial Intelligence conferences including ACL, NeurIPS, ICML, ICLR, KDD, ICCV and CVPR, summer schools such as Machine Learning (MLSS), Deep Learning (DLRL) and Probabilistic ML (ProbAI). He has also participated in various programming contests and has experience preparing interviews for applications to companies such as Google, Meta, Microsoft, among others. He has extensive experience in the areas of Machine Learning and Deep Learning applied mainly to computer vision and natural language processing.

He has experience in teaching, providing illustrative explanations for a better understanding of both the theoretical and practical parts. Some examples of presentations given:

He has also advised students from different countries in their graduation and master's theses, providing them with a theoretical and practical base with examples that they can then use to continue their development.

Some of the things 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, 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.

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Who this is for:
- University students in statistics, economics, engineering, or biology
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Week 3-4: Ethical Generative AI for Creativity: Students learn to master prompt engineering to create digital art, stories, or game concepts using generative AI tools. Safety and Ethics are paramount: we focus on responsible usage, digital citizenship, and copyright basics.

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Le contenu est adapté selon votre rythme, mais suit généralement cette progression :

Installation & Setup : Configurer votre environnement de travail (VS Code, PyCharm ou IDLE).

Les Fondamentaux : Variables, types de données (nombres, listes, dictionnaires) et opérations de base.

La Logique de Programmation : Maîtriser les conditions (if/else) et les boucles (for/while) pour donner de l'intelligence à votre code.

Fonctions & Modularité : Apprendre à structurer son code pour qu'il soit propre et réutilisable.

Ma Méthodologie
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Pédagogie Positive : Pas de jugement, on avance étape par étape. Chaque erreur est une occasion d'apprendre.

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