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Computer programming lessons in 7200 Sherbrooke West

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Pardeep - Ruislip, United KingdomC$96
C$96Full Stack Development (web and Mobile Application Development)
Trusted teacher: Description: Embark on a transformative journey into the world of Full-Stack Development with our dynamic and inclusive course. Whether you're a budding developer, IT enthusiast, or professional looking to expand your skill set, this course is crafted to empower you with a comprehensive toolkit for creating robust and scalable applications. What You'll Learn: Microsoft Technologies: Master C# programming language for versatile application development. Dive into Asp.net and MVC for building scalable and maintainable web applications. Database Management: Explore MSSQL and PostgreSQL for effective database design and management. Learn to model data, write complex queries, and ensure data security. APIs and Web Services: Understand the principles of API development. Create and consume web services for seamless data exchange. Front-End Development: Develop responsive and engaging user interfaces with React js. Enhance your skills in JavaScript, jQuery, AJAX, Bootstrap, HTML, and CSS. Optional: React Native for Mobile Application Development: Explore React Native for cross-platform mobile app development. Build native-quality applications for iOS and Android. Real-World Projects: Full-Stack Web Application: Develop a complete web application integrating front-end and back-end technologies. Mobile App Project (Optional): Create a mobile application using React Native. Why Choose Our Course: Hands-On Experience: Apply your skills through practical projects and coding exercises. Expert Instructors: Learn from seasoned developers and industry professionals. Portfolio Development: Build a robust portfolio showcasing your diverse development skills. Career Guidance: Receive insights into career paths in Full-Stack Development. Who Is This Course For: Aspiring Developers IT Professionals seeking to broaden their skills Students and Enthusiasts passionate about full-stack development Join us in this immersive journey to become a Full-Stack Development expert. Enroll now to gain the skills needed to create cutting-edge applications that meet the demands of the digital landscape!
Computer programming · Web development
Jhosimar - PeruC$41
C$41Private or group classes of Machine Learning and Deep Learning
Trusted teacher: 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.
Computer programming · Python
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