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Read the following instructions to use CocoDoc to start editing and filling out your Generation bowtie chart:

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How to Edit Your PDF Generation bowtie chart Online

Editing your form online is quite effortless. You don't need to install any software with your computer or phone to use this feature. CocoDoc offers an easy tool to edit your document directly through any web browser you use. The entire interface is well-organized.

Follow the step-by-step guide below to eidt your PDF files online:

  • Search CocoDoc official website on your computer where you have your file.
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How to Edit Generation bowtie chart on Windows

Windows is the most widely-used operating system. However, Windows does not contain any default application that can directly edit template. In this case, you can install CocoDoc's desktop software for Windows, which can help you to work on documents quickly.

All you have to do is follow the instructions below:

  • Download CocoDoc software from your Windows Store.
  • Open the software and then choose your PDF document.
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  • After that, edit the document as you needed by using the varied tools on the top.
  • Once done, you can now save the completed template to your device. You can also check more details about editing PDF documents.

How to Edit Generation bowtie chart on Mac

macOS comes with a default feature - Preview, to open PDF files. Although Mac users can view PDF files and even mark text on it, it does not support editing. Utilizing CocoDoc, you can edit your document on Mac without hassle.

Follow the effortless steps below to start editing:

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  • You can select the template from any cloud storage, such as Dropbox, Google Drive, or OneDrive.
  • Edit, fill and sign your file by utilizing this help tool from CocoDoc.
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How to Edit PDF Generation bowtie chart through G Suite

G Suite is a widely-used Google's suite of intelligent apps, which is designed to make your work more efficiently and increase collaboration within teams. Integrating CocoDoc's PDF editor with G Suite can help to accomplish work easily.

Here are the instructions to do it:

  • Open Google WorkPlace Marketplace on your laptop.
  • Search for CocoDoc PDF Editor and install the add-on.
  • Select the template that you want to edit and find CocoDoc PDF Editor by choosing "Open with" in Drive.
  • Edit and sign your file using the toolbar.
  • Save the completed PDF file on your laptop.

PDF Editor FAQ

What are the best frameworks/libraries for someone learning Python?

There are plenty of Python libraries out there.I am listing down curated list of Libraries related to Machine LearningScikit-Image - A collection of algorithms for image processing in Python.SimpleCV - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.Vigranumpy - Python bindings for the VIGRA C++ computer vision library.OpenFace - Free and open source face recognition with deep neural networks.PCV - Open source Python module for computer visionNLTK - A leading platform for building Python programs to work with human language data.Pattern - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.Quepy - A python framework to transform natural language questions to queries in a database query languageTextBlob - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.YAlign - A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora.jieba - Chinese Words Segmentation Utilities.SnowNLP - A library for processing Chinese text.spammy - A library for email Spam filtering built on top of nltkloso - Another Chinese segmentation library.genius - A Chinese segment base on Conditional Random Field.KoNLPy - A Python package for Korean natural language processing.nut - Natural language Understanding ToolkitRosetta - Text processing tools and wrappers (e.g. Vowpal Wabbit)BLLIP Parser - Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)PyNLPl - Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for FoLiA, but also ARPA language models, Moses phrasetables, GIZA++ alignments.python-ucto - Python binding to ucto (a unicode-aware rule-based tokenizer for various languages)python-frog - Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)python-zpar - Python bindings for ZPar, a statistical part-of-speech-tagger, constiuency parser, and dependency parser for English.colibri-core - Python binding to C++ library for extracting and working with with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.spaCy - Industrial strength NLP with Python and Cython.PyStanfordDependencies - Python interface for converting Penn Treebank trees to Stanford Dependencies.Distance - Levenshtein and Hamming distance computationFuzzy Wuzzy - Fuzzy String Matching in Pythonjellyfish - a python library for doing approximate and phonetic matching of strings.editdistance - fast implementation of edit distancetextacy - higher-level NLP built on Spacystanford-corenlp-python - Python wrapper for Stanford CoreNLPCLTK - The Classical Language Toolkitrasa_nlu - turn natural language into structured datayase - Transcode sentence (or other sequence) to list of word vectorauto_ml - Automated machine learning for production and analytics. Lets you focus on the fun parts of ML, while outputting production-ready code, and detailed analytics of your dataset and results. Includes support for NLP, XGBoost, LightGBM, and soon, deep learning.machine learning - automated build consisting of a web-interface, and set of programmatic-interface API, for support vector machines. Corresponding dataset(s) are stored into a SQL database, then generated model(s) used for prediction(s), are stored into a NoSQL datastore.XGBoost - Python bindings for eXtreme Gradient Boosting (Tree) LibraryBayesian Methods for Hackers - Book/iPython notebooks on Probabilistic Programming in PythonFeatureforge A set of tools for creating and testing machine learning features, with a scikit-learn compatible APIMLlib in Apache Spark - Distributed machine learning library in SparkHydrosphere Mist - a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.scikit-learn - A Python module for machine learning built on top of SciPy.metric-learn - A Python module for metric learning.SimpleAI Python implementation of many of the artificial intelligence algorithms described on the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library.astroML - Machine Learning and Data Mining for Astronomy.graphlab-create - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.BigML - A library that contacts external servers.pattern - Web mining module for Python.NuPIC - Numenta Platform for Intelligent Computing.Pylearn2 - A Machine Learning library based on Theano.keras - Modular neural network library based on Theano.Lasagne - Lightweight library to build and train neural networks in Theano.hebel - GPU-Accelerated Deep Learning Library in Python.Chainer - Flexible neural network frameworkprophet - Fast and automated time series forecasting framework by Facebook.gensim - Topic Modelling for Humans.topik - Topic modelling toolkitPyBrain - Another Python Machine Learning Library.Brainstorm - Fast, flexible and fun neural networks. This is the successor of PyBrain.Crab - A flexible, fast recommender engine.python-recsys - A Python library for implementing a Recommender System.thinking bayes - Book on Bayesian AnalysisImage-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING]Restricted Boltzmann Machines -Restricted Boltzmann Machines in Python. [DEEP LEARNING]Bolt - Bolt Online Learning ToolboxCoverTree - Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtreenilearn - Machine learning for NeuroImaging in Pythonimbalanced-learn - Python module to perform under sampling and over sampling with various techniques.Shogun - The Shogun Machine Learning ToolboxPyevolve - Genetic algorithm framework.Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind.breze - Theano based library for deep and recurrent neural networkspyhsmm - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.mrjob - A library to let Python program run on Hadoop.SKLL - A wrapper around scikit-learn that makes it simpler to conduct experiments.neurolab - - Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012.Pebl - Python Environment for Bayesian LearningTheano - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in PythonTensorFlow - Open source software library for numerical computation using data flow graphsyahmm - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.python-timbl - A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.deap - Evolutionary algorithm framework.pydeep - Deep Learning In Pythonmlxtend - A library consisting of useful tools for data science and machine learning tasks.neon - Nervana's high-performance Python-based Deep Learning framework [DEEP LEARNING]Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search.Neural Networks and Deep Learning - Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING]Annoy - Approximate nearest neighbours implementationskflow - Simplified interface for TensorFlow, mimicking Scikit Learn.TPOT - Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.pgmpy A python library for working with Probabilistic Graphical Models.DIGITS - The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.Orange - Open source data visualization and data analysis for novices and experts.MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.milk - Machine learning toolkit focused on supervised classification.TFLearn - Deep learning library featuring a higher-level API for TensorFlow.REP - an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience.rgf_python - Python bindings for Regularized Greedy Forest (Tree) Library.skbayes - Python package for Bayesian Machine Learning with scikit-learn APIfuku-ml - Simple machine learning library, including Perceptron, Regression, Support Vector Machine, Decision Tree and more, it's easy to use and easy to learn for beginners.SciPy - A Python-based ecosystem of open-source software for mathematics, science, and engineering.NumPy - A fundamental package for scientific computing with Python.Numba - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.NetworkX - A high-productivity software for complex networks.igraph - binding to igraph library - General purpose graph libraryPandas - A library providing high-performance, easy-to-use data structures and data analysis tools.Open Mining - Business Intelligence (BI) in Python (Pandas web interface)PyMC - Markov Chain Monte Carlo sampling toolkit.zipline - A Pythonic algorithmic trading library.PyDy - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.SymPy - A Python library for symbolic mathematics.statsmodels - Statistical modeling and econometrics in Python.astropy - A community Python library for Astronomy.matplotlib - A Python 2D plotting library.bokeh - Interactive Web Plotting for Python.plotly - Collaborative web plotting for Python and matplotlib.vincent - A Python to Vega translator.d3py - A plotting library for Python, based on D3.js.PyDexter - Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.ggplot - Same API as ggplot2 for R.ggfortify - Unified interface to ggplot2 popular R - Rendering beautiful SVG maps in Python.pygal - A Python SVG Charts Creator.PyQtGraph - A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.pycascadingPetrel - Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python.Blaze - NumPy and Pandas interface to Big Data.emcee - The Python ensemble sampling toolkit for affine-invariant MCMC.windML - A Python Framework for Wind Energy Analysis and Predictionvispy - GPU-based high-performance interactive OpenGL 2D/3D data visualization librarycerebro2 A web-based visualization and debugging platform for NuPIC.NuPIC Studio An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool!SparklingPandas Pandas on PySpark (POPS)Seaborn - A python visualization library based on matplotlibbqplot - An API for plotting in Jupyter (IPython)pastalog - Simple, realtime visualization of neural network training performance.caravel - A data exploration platform designed to be visual, intuitive, and interactive.Dora - Tools for exploratory data analysis in Python.Ruffus - Computation Pipeline library for python.SOMPY - Self Organizing Map written in Python (Uses neural networks for data analysis).somoclu Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.HDBScan - implementation of the hdbscan algorithm in Python - used for clusteringvisualize_ML - A python package for data exploration and data analysis.scikit-plot - A visualization library for quick and easy generation of common plots in data analysis and machine learning.Bowtie - A dashboard library for interactive visualizations using flask socketio and react.Feel free to add if you feel anything missing.

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