machinelearning   46534

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Introducing Dask-SearchCV // Marginally Stable
Blog post descibing dask-searchcv, a drop-in replacement for scikit's grid-searching tools
sklearn  scikitlearn  dask  machinelearning  gridsearch  hyperparameter  tuning  python 
4 hours ago by crambledon
nikhilk/node-tensorflow: Node.js + TensorFlow
TensorFlow is Google's machine learning runtime. It is implemented as C++ runtime, along with Python framework to support building a variety of models, especially neural networks for deep learning.

From Nikhil

It is interesting to be able to use TensorFlow in a node.js application using just JavaScript (or TypeScript if that's your preference). However, the Python functionality is vast (several ops, estimator implementations etc.) and continually expanding. Instead, it would be more practical to consider building Graphs and training models in Python, and then consuming those for runtime use-cases (like prediction or inference) in a pure node.js and Python-free deployment. This is what this node module enables.

This module takes care of the building blocks and mechanics for working with the TensorFlow C API, and instead provides an API around Tensors, Graphs, Sessions and Models.

This is still in the works, and recently revamped to support TensorFlow 1.4+.
machinelearning  TensorFlow 
8 hours ago by amy
A visual introduction to machine learning
RT : Machine learning explained in interactive visualizations (part 1)
machinelearning  d3js  from twitter
13 hours ago by shakeel
scikit-learn: Machine Learning in Python
Simple and efficient tools for data mining and data analysis
Accessible to everybody, and reusable in various contexts
Built on NumPy, SciPy, and matplotlib
Open source, commercially usable - BSD license
python  machinelearning  opensource 
18 hours ago by aapl
Fitting Gaussian Process Models in Python
"I will demonstrate and compare three packages that include classes and functions specifically tailored for GP modeling: scikit-learn, GPflow, PyMC3"
statistics  machinelearning 
18 hours ago by aapl
GCP Sentiment Analysis Tutorial
"This tutorial is designed to let you quickly start exploring and developing applications with the Google Cloud Natural Language API. It is designed for people familiar with basic programming, though even without much programming knowledge, you should be able to follow along. Having walked through this tutorial, you should be able to use the Reference documentation to create your own basic applications.

This tutorial steps through a Natural Language API application using Python code. The purpose here is not to explain the Python client libraries, but to explain how to make calls to the Natural Language API. Applications in Java and Node.js are essentially similar. Consult the Natural Language API Samples for samples in other languages (including this sample within the tutorial)."
machinelearning  nlp  semantics  sentiment  linguistics 
23 hours ago by trewbot
MAchine Learning for LanguagE Toolkit
"MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text."
linguistics  lib  software  java  semantics  sentiment  nlp  machinelearning 
23 hours ago by trewbot
Financial time series forecasting with machine learning techniques: A survey
Bjoern Krollner
Bond University,
Bruce Vanstone
Bond University,
Gavin Finnie
Bond University,
English  time+series  Academic  MachineLearning  financial 
yesterday by gcsfred

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