Here are some Resources to get you started on Machine Learning. Some I have consumed myself, some I have picked because of their reputation.
One important thing to note is that there is an abundance of material on ML and a topic can be explained in different ways, using different metaphors and with different outcomes in mind. Find the one that fits you best!
Here are some Resources to get you started on Machine Learning. Some I have consumed myself, some I have picked because of their reputation. One important thing to note is that there is an abundance of material on ML and a topic can be explained in different ways, using different metaphors and with different outcomes in mind. Find the one that fits you best!
Books:
https://www.amazon.de/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646 (The first book I read on ML. Very well explained)
https://www.deeplearningbook.org/ (a classic)
Courses:
Deep Mind https://www.youtube.com/watch?v=iOh7QUZGyiU&list=PLqYmG7hTraZCkftCvihsG2eCTH2OyGScc (especially Deep Learning for NLP is potentially relevant for us)
Coursera https://www.coursera.org/learn/machine-learning
Stanford http://web.stanford.edu/class/cs224n/
probably some course from MIT :)
A lot of stuff on Youtube.
3Blue1Brown has 2 videos on Neural Networks, that might help you build an intuition
Important technical concepts:
Natural Language Processing, especially:
(Topic Modeling (Latent Dirichlet Analysis))
Depending on your Topic possibly:
Clustering (https://scikit-learn.org/stable/modules/clustering.html)
Transformer, Attention, BERT (https://arxiv.org/abs/1706.03762)
Dimensionality Reduction (especially T-SNE, UMAP, PCA, MDS, maybe Self-organizing Maps)