Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling.
ocdevel.com/mlg/28 for notes and resources
Mais episódios de "Machine Learning Guide"
032 Cartesian Similarity Metrics
42:28Social media Gnothi and email me a screenshot/link for 3-month access to Machine Learning Applied; commit code to the Github repository for life-access. Normed distances link A norm is a function that assigns a strictly positive length to each vector in a vector space. link Minkowski is generalized. p_root(sum(xi-yi)^p). "p" = ? (1, 2, ..) for below. L1: Manhattan/city-block/taxicab. abs(x2-x1)+abs(y2-y1). Grid-like distance (triangle legs). Preferred for high-dim space. L2: Euclidean. sqrt((x2-x1)^2+(y2-y1)^2. sqrt(dot-product). Straight-line distance; min distance (Pythagorean triangle edge) Others: Mahalanobis, Chebyshev (p=inf), etc Dot product A type of inner product. Outer-product: lies outside the involved planes. Inner-product: dot product lies inside the planes/axes involved link. Dot product: inner product on a finite dimensional Euclidean space link Cosine (normalized dot)
031 The Podcasts Return
7:57The podcasts return with new content, especially about NLP: BERT, transformers, spaCy, Gensim, NLTK. Accompanied by a community project - Gnothi, a journal that uses AI to provide insights and resources. Website https://gnothiai.com, project https://github.com/lefnire/gnothi. Share the website on social media and email me a link/screenshot for free access to Machine Learning Applied for 3 months; contribute to the Github repository for free access for life.
030 Podcast Update
6:08Show notes: https://ocdevel.com/mlg/30. Re-doing MLG, new podcast Machine Learning Applied, new project Gnothi, new resources page.
029 Reinforcement Learning Intro
42:27Introduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources.
028 Hyperparameters 2
50:10Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources
027 Hyperparameters 1
46:09Hyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources
026 Project Bitcoin Trader
38:20Community project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources
025 Convolutional Neural Networks
44:21Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources
024 Tech Stack
1:01:17TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources
023 Deep NLP 2
42:45RNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources