| Machine Learning |
Supervised Learning, Unsupervised Learning, Feature Engineering, Model Evaluation |
"Pattern Recognition and Machine Learning" by Christopher Bishop, "Introduction to Statistical Learning" by Gareth James et al. |
Implementing linear regression, logistic regression, and decision trees, Feature engineering and data preprocessing |
Coursera - Machine Learning by Andrew Ng, Kaggle - Machine Learning Competitions |
| Deep Learning |
Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Transfer Learning |
"Deep Learning" by Ian Goodfellow et al., "Neural Networks and Deep Learning" by Michael Nielsen |
Building and training deep neural networks for image and text data, Implementing transfer learning with pre-trained models |
Coursera - Deep Learning Specialization, TensorFlow Tutorials |
| Reinforcement Learning |
Markov Decision Processes, Policy Gradients, Q-Learning, Deep Q-Networks |
"Reinforcement Learning: An Introduction" by Sutton & Barto, "Algorithms for Reinforcement Learning" by Csaba Szepesvári |
Developing reinforcement learning agents for game playing, Implementing policy gradients and Q-learning algorithms |
OpenAI Gym, Coursera - Reinforcement Learning Specialization |
| Inference and Causality |
Causal Inference, Bayesian Networks, A/B Testing, Counterfactual Analysis |
"Causal Inference in Statistics: A Primer" by Judea Pearl et al., "The Book of Why" by Judea Pearl & Dana Mackenzie |
Conducting causal inference analysis on marketing campaigns, Implementing Bayesian networks for decision making |
Coursera - Causal Inference, DataCamp - Introduction to A/B Testing |
| Seminar: Current Topics in AI |
Recent Advances in AI, Ethical AI, AI in Industry |
Research papers from conferences like NeurIPS, ICML, and CVPR, Articles from AI-focused journals and magazines |
Reviewing and presenting recent AI research papers, Writing a research proposal on a current AI topic |
ArXiv.org - Artificial Intelligence, Google Scholar |
| Natural Language Processing |
Text Processing, Sentiment Analysis, Named Entity Recognition, Machine Translation |
"Speech and Language Processing" by Jurafsky and Martin, "Natural Language Processing with Python" by Steven Bird et al. |
Developing sentiment analysis models, Implementing named entity recognition and machine translation systems |
Coursera - Natural Language Processing, Stanford NLP Course |