Machine learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
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I could not find anything in the docs about how to handle different frequencies of time series. I have a Dataset A with monthly data that i want to use to predict the values from Dataset B that contains quarterly based data. So the target value e.g. quarter 1 is based on the values from month 1-3.
Dataset A (Features):
| Month | Value1 | Value2 | Value3 |
| ------------- | ------------- |
We should be using Sphinx's versionadded and versionchanged directives to indicate when classes, functions, methods and parameters are added or modified in their semantics. We are not very good at ensuring this labelling is done.
Towards the upcoming release of v0.22, it would be useful if some contributors (or sprinters) scoured the change log and identified whether any added/changed parameter
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Context
We would like to add torch::nn::functional::normalize to the C++ API, so that C++ users can easily find the equivalent of Python API torch.nn.functional.normalize.
Steps
- Add
torch::nn::NormalizeOptionstotorch/csrc/api/include/torch/nn/options/normalization.h(add this file if it doesn’t exist), which should include the following parameters (based on https://pytorch.
Short description
I am trying to train Tesseract on Akkadian language. The language-specific.sh script was modified accordingly. When converting the training text to TIFF images, the text2image program crashes.
Environment
- Tesseract Version: 3.04.01
- Commit Number: the standard package in Ubuntu, package version 3.04.01-4, commit unknown
- Platform: Linux ubuntu
The world's simplest facial recognition api for Python and the command line
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100 Days of ML Coding
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Currently we have:
help?> StatsBase.Histogram
No documentation found.
StatsBase.Histogram is of type UnionAll.
Summary
≡≡≡≡≡≡≡≡≡
struct UnionAll <: Type{T}
Fields
≡≡≡≡≡≡≡≡
var :: TypeVar
body :: Any
Supertype Hierarchy
≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡
UnionAll <: Type{T} <: Any
which is true, but also utterly useless. We should just print the
A complete daily plan for studying to become a machine learning engineer.
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📚 A practical approach to machine learning.
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The most cited deep learning papers
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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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The fastai deep learning library, plus lessons and tutorials
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OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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I was going though the existing enhancement issues again and though it'd be nice to collect ideas for spaCy plugins and related projects. There are always people in the community who are looking for new things to build, so here's some inspiration
If you have questions about the projects I suggested,
100-Days-Of-ML-Code中文版
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Oxford Deep NLP 2017 course
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A curated list of awesome Deep Learning tutorials, projects and communities.
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List of Computer Science courses with video lectures.
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Nov 19, 2019
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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Nov 19, 2019 - Python
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.
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Nov 19, 2019 - C#
Learn about machine-learning
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Should be value_input?
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