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

This includes a focus on understanding gradients and optimization through a linear lens, and matrix calculus and its application to neural networks.See Sam'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

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

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

...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

...mechanics. I have also consulted for chemical engineering enterprises employing novel control systems utilizing AI neural networks....See Theodore'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

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

...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

I've been using Python for Data Science for more than 7 years now. This includes building deep neural networks in Python for computer vision, various data collecting and cleaning, and more. I now work as a machine learning engineer.See Yaki's full profile

...principal components, generalized linear models, supervised learning, generative models, unsupervised learning, deep neural networks, etc...See Rajeev's full profile

I completed a Master Degree in Applied Data Science which covers multiple Networking topics such as Network Analysis, Convolutional Neural Networks, Computer Vision, Machine Learning, and Generative Adversarial Networks.See Tom's full profile