Links tagged “machine-learning”
23 links, newest first.
machinelearningflashcards.com
A paid deck of 119 illustrated flashcards covering machine learning concepts, from random forests to neural networks.
tryolabs.com
Round-up of ten Python libraries that stood out in 2017, from Pipenv and PyTorch to Dash, FlashText and Luminoth.
medium.com
Rundown of fifteen Python data-science libraries — NumPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, NLTK and others — grouped by purpose.
arxiv.org
Proposes learning the optimisation algorithm itself with an LSTM, rather than hand-designing the update rule.
research.googleblog.com
Google Research introduces the Transformer, a self-attention architecture that drops recurrence and convolution and beats both on machine translation and parsing.
quantinsti.com
A survey of Python libraries used in algorithmic trading, from data retrieval and technical analysis to visualisation, backtesting and machine learning.
distill.pub
Peer-reviewed journal publishing interactive, visual explanations of machine learning research, from neural network interpretability to the fundamentals of deep learning.
deeplearningbook.org
Free online edition of Goodfellow, Bengio and Courville's MIT Press textbook on deep learning, covering applied maths, modern practice and open research directions.
alex.smola.org
Course page for UC Berkeley's 2012 Scalable Machine Learning class, with lectures on distributed systems, data stream algorithms, convex optimization, kernels and graphical models.
rocketdatascience.org
A link list of "definitive guides" and handbooks covering data science, big data, analytics, machine learning and related fields.
deepmind.com
DeepMind's round-up of its 2016 work, from AlphaGo and generative models to memory-augmented neural networks, applied projects and its ethics commitments.
stat.cmu.edu
Course site for Larry Wasserman's CMU statistical machine learning class, with the lecture schedule and notes on regression, classification, clustering, graphical models and causal inference.
www-nlp.stanford.edu
Stanford's GloVe project — an unsupervised algorithm deriving word vectors from co-occurrence statistics, with pre-trained vectors to download.
developers.lyst.com
How Lyst applied word2vec and GloVe to its fashion catalogue to surface semantic relations between garments, designers and fashion vocabulary.
github.com
Workshop materials for TensorFlow — notebooks and code covering graph building, model training, the high-level APIs and transfer learning.
lasagne.readthedocs.io
Documentation for Lasagne, a lightweight library for building and training neural networks in Theano.
github.com
A Python module for web mining, bundling crawling and scraping, natural language processing, machine learning, network analysis and visualisation.
radimrehurek.com
A Python library for training topic models and word embeddings, representing documents as semantic vectors and comparing them at scale.
r2d3.us
Interactive scroll-driven explainer of decision trees, using San Francisco versus New York homes to show features, split points, training data and overfitting.
tonyhschu.ca
Personal site of Tony Chu, a designer of interfaces for machine learning products, collecting his portfolio and design writing.
