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Discover the Best Private Computer programming lessons in Harold Wood

For over a decade, our private Computer programming tutors have been helping learners improve and realise their ambitions. With one-to-one lessons at your home or in Harold Wood, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 computer programming teacher in Harold Wood

Trusted teacher: Embark on a journey to become a proficient C# programmer with our comprehensive course tailored for beginners and those looking to enhance their coding skills. Whether you're aspiring to develop software applications, web services, or games, this course is your key to mastering the fundamentals and beyond. What You'll Learn: Introduction to C#: Understand the syntax and structure of the C# language. Master fundamental concepts like variables, data types, and control structures. Object-Oriented Programming (OOP): Dive deep into the principles of OOP for building modular and scalable code. Create and manipulate objects, classes, and inheritance. Exception Handling and Debugging: Learn effective strategies for handling errors and exceptions. Debug and optimize your code for robust performance. Working with Databases: Connect your C# applications to databases for data storage and retrieval. Utilize Entity Framework for seamless database interaction. Graphical User Interface (GUI) Development: Design intuitive and responsive user interfaces. Implement event handling and user interactions. Web Development with ASP.NET: Explore web development using C# with ASP.NET. Build dynamic and interactive web applications. Version Control with Git: Learn essential version control techniques using Git. Collaborate with other developers and manage project versions efficiently. Why Choose Our Course: Practical Projects: Apply your skills through hands-on coding projects. Expert Instructors: Learn from experienced C# developers and industry professionals. Peer Collaboration: Engage in collaborative coding exercises and projects for a real-world experience. Career Guidance: Receive insights into C# career paths and industry best practices. Who Is This Course For: Aspiring Software Developers Web Developers Students and Enthusiasts Professionals looking to upskill in C# Unlock the world of C# programming and elevate your coding prowess. Enroll now to start your journey towards mastering the essentials of C# programming!
Computer programming · Web development · Microsoft asp.net
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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