The Best Neural Networks Tutoring Online

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

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

...real-world problems. Extensive experience in the theory and use of AI tools including LLMs, reinforcement learning, neural networks, etc. I have also worked in industry as a data scientist developing AI frameworks for ethical use in human resources...See Geoff's full profile

My experience includes programming UR5 robots, using Simulink, connecting with microcontrollers, differential calculus, neural networks and artificial neural networks, and app development. I’ve used MATLAB to create an image...See Shubhan's full profile

I prepare professionals for AI interviews, and regularly coach companies on how to use large language models (LLMs) amongst other neural networks. See Sam'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

...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

At the more advanced levels, I have also helped post-graduate degree candidates to perform Exploratory Data Analysis (EDA), brainstorm neural network architectures, and communicate their ideas with confidence. My teaching style isn't...See Daniel'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

... from scratch). I typically work with linear and logistic regression, LDA, SVMs, Random Forests, XGBoost, and deep neural networks (CNNs, GANs, foundation models such as scGPT), using careful feature engineering, regularization, and cross-validation...See Ryan'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

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

I've taught students at top universities Data Science and Machine Learning one-on-one. I have experience with: Deep Learning (Neural Networks), Gradient Descent, Principal Component Analysis, XGBoost, clustering methods, Support Vector...See Jonathan's full profile

I am a graduate at the University of California Berkeley where I earned an A in Discrete Math and Probability, Optimization Models in Engineering, Machine Learning, Natural Language Processing, Deep Neural Networks, Computer Vision. I am...See Zachary's full profile

. • Regressions and Classifications: Techniques like Linear, Polynomial, Logistic Regressions, RandomForest, SVM, GBM, XGBoost. • Clustering & Reduction: K-means, PCA, t-SNE. • DeepLearning: Convolutional Neural Networks and and...See Andrei'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

...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

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

Those projects required end-to-end pipelines: ingesting raw data with ETL jobs, validating it against HIPAA constraints, training it for gradient-boosted decision trees or convolutional neural networks, and containerizing the models behind...See Lauren's full profile

My professional background includes predictive analytics projects and advanced machine learning model development. I am passionate about helping students master data science concepts and tools, from Python programming to neural networks,...See Paul's full profile

...productivity, and automation-focused AIs. I specialize in helping students grasp core ML concepts like supervised learning, neural networks, and NLP, as well as practical tools like Python, scikit-learn, TensorFlow, CoreML, and Hugging Face. My tutoring style...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

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

Ph.D. in computational neuroscience, applied to neural network models of visual cortex. Subsequent research in applying machine learning to decoding human fMRI data. See Raj's full profile

This was heavy in quant methods covering Discrete Choice Methods, Time Series Analysis, Structural Equation Models among others. I have 30 years of industry experience covering Bayesian Modeling, Neural Networks, Machine Learning, and Deep...See Sree's full profile