These are the steps that have to be followed in order to install python in windows and to be able to install pip commands directly into your command prompt just like mac and ubuntu. STEP 1 check your system settings and find out your system is 32 bit or 64 bit. Accordingly, go to anaconda […]
10 steps process to deploy a .html website to Heroku, run these commands on the terminal and make sure you have a Heroku account Get to the directory: cd YOUR_DIRECTORY Rename the file to home.html: mv index.html home.html Create index.php with the line: echo ‘<? include_once(“home.html”);?>’ > index.php Create empty composer file: echo ‘{}’ > composer.json […]
You need to do 2 things before Embedding any D3.js visualization to your self-hosted WordPress blog Install the iFrame plugin for WordPress. Host your d3.js visualisation somewhere (so that you can access your visualisation through URL, preferably Heroku: 5 minute process) After you are done with these two steps just use the iframe tag in […]
http://mrg.bz/A2DcmG 1. https://chainer.org/ 2. http://learningsys.org/papers/LearningSys_2015_paper_33.pdf 3. https://deeplearning4j.org/ 4. http://www.aclweb.org/anthology/W15-1515 5. https://github.com/attardi/deepnl 6. https://github.com/clab/dynet 7. https://arxiv.org/pdf/1701.03980.pdf 8. https://keras.io/ 9. https://github.com/erickrf/nlpnet 10. http://nilc.icmc.usp.br/nlpnet/ 11. http://opennmt.net/ 12. http://opennmt.net/OpenNMT/applications/ 13. http://pytorch.org/about/ 14. https://spacy.io/ 15. https://stanfordnlp.github.io/CoreNLP/ 16. https://www.tensorflow.org/ 17. http://tflearn.org/ 18. https://github.com/Theano/Theano 19. https://github.com/odashi/chainer_nmt
If the machine learning model is not generalised then the model contains some kind of error.Error= difference between actual and predicted values/classesFormulae = sum of (actual output-predicted output), Also Error is the sum of reducible + irreducible error. Reducible Error= bias + varianceBias is how far is the predicted values/class from actual values/class. If the […]
Track the progress in Natural Language Processing (NLP), including the datasets. Automatic speech recognition CCG supertagging Common sense Constituency parsing Coreference resolution Dependency parsing Dialogue Domain adaptation Entity linking Grammatical error correction Information extraction Language modeling Lexical normalization Machine translation Missing elements Multi-task learning Multi-modal Named entity recognition Natural language inference Part-of-speech tagging Question answering […]
While solving our problems on python, Many of us might have faced the situation of kernels, the specific package supports only python 2.7 and require python 3 and there are a lot of issues while installing python kernels and running it with Jupyter notebook side by side. Here’s my solution of running python 2 and […]
GTFS General Transit Feed Specification is a common format for public transportation schedules and associated geographic information. It is the data used by google Maps.2. Details of GTFSGTFS is a set of text files that represent a snapshot of scheduled transit servicesa. Agency.txt – Details of Agency publishing the datab. Routes.txt – Details of Routes […]
The 7 steps of any Machine Learning problem to answering questions Gathering Data Preparing the Data Choosing a Model Training Evaluation Hyperparameter Tuning Prediction Data Gathering We will first gather data, in order to train our model we need data for example if we are predicting whether a drink is wine or beer, so […]