The Best Neural Networks Tutoring Online

I hold a Doctor of Engineering degree in Cybersecurity Analytics, with doctoral research applying machine learning techniques to cybersecurity and network anomaly detection. My research included working with LSTM neural networks and...See Yemi's full profile

I also hold a Ph.D. in Electrical and Computer Engineering from Rochester Institute of Technology (RIT). I have extensive experience in the theory and use of AI tools including LLMs, reinforcement learning, neural networks, etc. I have...See Geoff's full profile

My background spans the entire AI spectrum, from teaching foundational statistical regressions to building deep learning neural networks for audio, image, and fraud detection. I specialize in the modern AI ecosystem, helping students master...See Michael's full profile

...AI algorithms and data into their trading portfolios. My algorithms are based on self designed embedding models and neural networks and have a winrate of 70% and above. In addition to building trading and financial analysis algorithms, I have developed...See Akshat's full profile

My academic background includes hands-on experience with a wide range of machine learning algorithms, including supervised and unsupervised learning, ensemble methods, neural networks, and optimization techniques. Professionally, I’ve...See Renee's full profile

I have a minor in computer science and completed many self-motivated projects over the years. These include programming chess from scratch in Java, creating a fully connected Neural Network, recreating mobile games like Flappy Bird, and...See Jayden's full profile

I do research on neural networks, such as on extracting information from trained neural networks. I have two patents pending related to this. I have helped many people with introductions to machine learning, introductions to AI, and...See Douglas's full profile

Much of my experience is one-on-one. For five years, I mentored undergraduates through independent projects on topics like topological data analysis, neural networks, and stochastic processes, adjusting the pace to each student’s...See Erin's full profile

Through CMU's introductory machine learning curriculum, I have worked with concepts including decision trees, regression, neural networks, convolutional neural networks, reinforcement learning, model evaluation, and feature...See Pragya's full profile

I have also worked on all of the major machine learning algorithms, including linear methods like principal cluster analysis and nonlinear methods like neural networks and unsupervised cluster analysis. I have managed data on the bit and...See Peter's full profile

...Economics and Linguistics. My thesis was on explainability in Large Language Models, where I discussed coding my own neural network from scratch in Python and working with a simple language model from HuggingFace to investigate how filtering methods...See April's full profile

I can help with topics including regression, classification, clustering, model selection, overfitting, cross-validation, and introductory neural networks. See Johnathan's full profile

My professional experience includes researching and developing machine learning models for engineering applications, specifically utilizing reinforcement learning and physics-informed neural networks. Because I routinely design algorithmic...See Mikel's full profile

The bulk of my experience is in software and hardware correctness. Further I worked on hardware and communication protocol synthesis, on optimization, and on neural networks. I have programmed in C++, Java, CUDA and several less common...See Daniel's full profile

I majored in cognitive science in undergrad (as well as English) and specialized in computational linguistics, with classes in syntax, semantics, neural networks, AI, and more. I have a PhD in neuroscience, specializing in cognitive...See Matt's full profile

I have implemented and evaluated machine-learning models in Python using modern scientific and deep-learning tools, and I have experience with supervised learning, neural networks, reinforcement learning, model evaluation, and experimental...See Miles's full profile

...an applied, student-friendly perspective. I can help with model evaluation, feature selection, supervised learning, neural networks, scientific datasets, and the intuition behind common algorithms. I focus on helping students understand what the model...See Gabriel's full profile

...to completing a satellite tracking system for wireless signals, to realizing machine learning system parameters and neural networks, and currently to post-process large data files for my graduate work. Additionally, I have taught MATLAB to peers and...See Michael's full profile

I specialize in using Python to build models (linear regression and non-linear regression), implement algorithms, and tune neural networks. Whether you need help starting a project, debugging your code, or understanding complex programming...See Nghia's full profile

...actually care about. I earned a 5 on AP Computer Science A and AP Calculus AB, completed advanced coursework in neural networks, and hold certifications from Harvard’s CS50AI and IBM’s AI Engineering program. Over the past few years, I’ve been...See Sathvik's full profile

I teach computer science from the working-code side rather than the lecture-slide side. My graduate capstone in applied data science was a convolutional neural network image classifier engineered to run on a Raspberry Pi under strict power...See William's full profile

My experience spans supervised and unsupervised learning techniques, including regression, KNN, Naive Bayes, Decision Trees, Logistic Regression, SVM, Neural Networks, and ensemble methods. I am skilled in applying distance measures,...See Jordan's full profile

For the last several years I've been tutoring data science. I've helped students implement basic classifiers found in sci-kit learn and deep neural networks from scratch. I learned data science from Andrew Ng's coursera...See Jason's full profile

My expertise includes robotics, microcontrollers, computer architecture, and machine learning techniques such as linear algebra, convolutional neural networks, generative adversarial networks, and reinforcement learning. I guide students...See Ivan's full profile

My PhD training involved numerous projects using neural networks for analysis or modeling of neuroscientific data, including deep learning models, convolutional neural networks, and generative adversarial networks. Much of my...See Graham's full profile