Description
Machine learning topics includes:
- Linear model for regression
- Linear model for classification
- Neural Network
- Deep learning
- Unsupervised learning
- Probability approaches
- Graphical model
- Sampling approaches
- Sequential learning (RNN)
- Bayesian prospective
Deep learning architecture
– Residual connection
– Inception network
– Transformer architectures
Reinforcement learning
– on/off policy evaluation
– Deep Q-learning
– Bellman equation
– SARSA/ A2C/ A3C algorithm
Computer vision
– Convolution layer
– Internal covariate shift
– Bath Normalization
The price is computed based on the rate of the tutor ($40 per hour) plus extra applicable to professional tutors.
Henery Chen –
I had pack of 10 hours with %10 discount with Pedram. He is professional and knows the best way to convey complex problem. It helped me in my job to get boost from my position.
Alex Cardoen –
I had some questions about deep learning and optimization. The tutor that I had was really helpful and make me understand the concept as well as coding in PyTorch.
Armin Samadi –
I needed some tutor session for my Master thesis which involved modeling using SVM and tranformers. I had the sessions with Pedram. He taught the topics to me so good that I found my problem and I could solve my issue in my code after a few sessions. Highly recommended.
Fredrik –
I wanted an professional tutor for my data science project. I found Pedram, he has a lot of knowledge in this area and help me understand the complex ideas. We worked on the panda and LLM for text understanding with GPT API, it was a successful project.