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

Experience with machine learning algorithms using python. My specialties include natural language processing and convolution neural networks.See Ben'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

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

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

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 skilled in artificial intelligence techniques such as search, game playing, and machine learning. Additionally, I have expertise in machine learning methods, including supervised and unsupervised learning, neural networks, and...See Esteban's full profile

...numerical methods. Methods I teach include simple and multiple linear regression, logistic regression, Perceptron, neural networks, k-nearest neighbors (KNN), k-means clustering, hierarchical clustering, differential equation based dynamic modeling...See Jordan's full profile

...have found it not necessary as the 2 ESP32's have been adequately providing the data necessary for the computer vision neural network to correctly identify the pieces consistently. All of the micro controllers mentioned are connected to a central Raspberry...See John'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

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

...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 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 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

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

I hold a Ph.D. in Computer Science, with an emphasis on Neural Networks & Deep Learning, Information Storage & Retrieval, Software Development, and Distributed Systems. My educational journey is grounded in the rigorous study of...See Sakib's full profile

...techniques. I have extensively used Python libraries such as TensorFlow and Keras to develop and train sophisticated neural networks for a variety of data science projects. I have a track record of success using these tools to build and deploy effective...See Kevin's full profile

For my Software Development degree I received scientific training in a 400-level course on Machine Learning. I've also created a convolutional neural network with 95% image recognition accuracy (verified by testing and holdout sets)...See Emory's full profile