{"id":2739,"date":"2020-09-22T10:30:15","date_gmt":"2020-09-22T08:30:15","guid":{"rendered":"https:\/\/piyanit.nl\/blog\/?page_id=2739"},"modified":"2021-09-13T17:04:44","modified_gmt":"2021-09-13T15:04:44","slug":"library","status":"publish","type":"page","link":"https:\/\/piyanit.nl\/blog\/library\/","title":{"rendered":"Library"},"content":{"rendered":"<h6><a href=\"https:\/\/en.wikipedia.org\/wiki\/AdaBoost\">AdaBoost<\/a><\/h6>\n<h6><a href=\"https:\/\/nl.wikipedia.org\/wiki\/Affiene_transformatie\">Affiene Transformatie<\/a><\/h6>\n<h6><a href=\"https:\/\/www.youtube.com\/watch?v=502ILHjX9EE\">Agile Product Ownership in a Nutshell<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/analysis-of-contextual-embedding-similarity-for-similar-sentences-4801cf9d8283\">Analysis of Contextual Embedding Similarity for Similar Sentences<\/a><\/h6>\n<h6><a href=\"https:\/\/www.incubegroup.com\/blog\/data-quality-with-ml\/\">Automated Data Quality Monitoring: Teach Machines what Data is right<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/five-bad-habits-every-data-scientist-should-avoid-d2099a16b978\">Bad Habits to avoid in Data Science Projects<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/begrippen-modelleren-gegevens.pdf\">Begrippen Modelleren Gegevens<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/11\/Managen-Big-Data-Project.pdf\">Big Data Project Managen<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/Duffy-Helmbold2002_Article_BoostingMethodsForRegression.pdf\">Boosting Methods for Regression<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/Statistics_Overview_for_Essentials_Course-Updated.pdf\">Brief Overview of Basic Statistic and Probability Principles<\/a><\/h6>\n<h6><a href=\"https:\/\/www.information-age.com\/automate-data-quality-machine-learning-123485510\/\">Can we Automate Data Quality to support AI and Machine Learning<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/centroid-neural-network-an-efficient-and-stable-clustering-algorithm-b7b385e1b8d\">Centroid Neural Network<\/a><\/h6>\n<h6><a href=\"https:\/\/www.finler.nl\/kennis\/ceteris-paribus\/\">Ceteris Paribus<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/classification-model-for-source-code-programming-languages-40d1ab7243c2\">Classification Model for Source Code Programming Languages<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/Classificeren.pdf\">Classificeren<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/classifying-images-of-alcoholic-beverages-with-fast-ai-34c4560b5543\">Classifying Images of Alcoholic Beverages with Convoluted Neural Network<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/the-5-clustering-algorithms-data-scientists-need-to-know-a36d136ef68\">Clustering Algorithms (5) Data Scientists needs to know<\/a><\/h6>\n<h6><a href=\"https:\/\/medium.com\/@Intellica.AI\/comparison-of-different-word-embeddings-on-text-similarity-a-use-case-in-nlp-e83e08469c1c\">Comparison of Different Word Embeddings on Text Similarity<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2021\/02\/Computing-Machinery-Intelligence.pdf\">Computing Machinery and Intelligence<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2021\/09\/conjugate_families_of_distributions.pdf\">Conjugate Families of Distributions<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2021\/09\/convex_optimization.pdf\">Convex Optimization<\/a><\/h6>\n<h6><a href=\"https:\/\/pypi.org\/project\/dalex\/\">Dalex Package Python<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/data-anonymization-with-autoencoders-75d076bcbea6\">Data Anonymization with Autoencoders<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/data-representation-in-nlp-cc9460f855a7\">Data Representation in NLP<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/the-top-10-best-places-to-find-datasets-8d3b4e31c442\">Datasets (find the best 10 places)<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/how-to-use-deep-learning-for-time-series-forecasting-3f8a399cf205\">Deep Learning for Time Series Forecasting<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/beautiful-decision-tree-visualizations-with-dtreeviz-af1a66c1c180\">Decision Tree Visualizations<\/a><\/h6>\n<h6><a href=\"https:\/\/diagrams.mingrammer.com\/docs\/getting-started\/examples\">Diagrams in Python<\/a><\/h6>\n<h6><a href=\"https:\/\/www.hindawi.com\/journals\/scn\/2019\/8954914\/\">Efficient Extraction of Network Event Types from Netflows<\/a><\/h6>\n<h6><a href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\">Elastic Machine Learning Documentation<\/a><\/h6>\n<h6><a href=\"https:\/\/github.com\/robcowart\/elastiflow\">Elast\u00ecflow<\/a><\/h6>\n<h6><a href=\"https:\/\/www.elastic.co\/videos\/\">ElasticSeach Video&#8217;s<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/faster-hyperparameter-tuning-with-scikit-learn-71aa76d06f12\">Faster Hyperparameter Tuning with scikit Python<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/feature-selection-techniques-in-machine-learning-with-python-f24e7da3f36e#:~:text=using%20SelectKBest%20class-,2.,feature%20towards%20your%20output%20variable.\">Feature Selection Techniques in Machine Learning with Python<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/gaussian-mixture-models-vs-k-means-which-one-to-choose-62f2736025f0\">Gaussian Mixture Models versus K-Means which one to choose<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/Getting-Started-with-Machine-Learning.pdf\">Getting Started with Machine Learning<\/a><\/h6>\n<h6><a href=\"https:\/\/datascienceplus.com\/gradient-boosting-in-r\/\">Gradient Boosting in R<\/a><\/h6>\n<h6><a href=\"https:\/\/grafana.com\/docs\/grafana\/latest\/\">Grafana<\/a><\/h6>\n<h6><a href=\"https:\/\/nl.wikipedia.org\/wiki\/Grafentheorie\">Grafentheorie<\/a><\/h6>\n<h6><a href=\"https:\/\/blog.paperspace.com\/adaboost-optimizer\/\">Guide to AdaBoost<\/a><\/h6>\n<h6><a href=\"https:\/\/medium.com\/@SeattleDataGuy\/a-guide-to-starting-a-data-science-project-c66388733759\">Guide to Starting a Data Science Project<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/39019539-usen-00_39019539USEN.pdf\">Guide to Understanding and Successfully Implementing AI within your business<\/a><\/h6>\n<h6><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/handwiki-datascience-encyclopedia-in-2020\">Handwiki Datascience Encyclopedia<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/Module5HypothesisTesting-JULY.pdf\">Hypothesis Testing<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/11\/Idee-Canvas-Creativity-Club.pdf\">Idee Canvas &#8211; Creativity Club<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/11\/Idee-Makers-Idee-Krakers.pdf\">Idee Makers &amp; Idee Krakers<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/improve-the-train-test-split-with-the-hashing-function-f38f32b721fb\">Improve train_test_split using teh Hashing Function<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/introduction-to-math-behind-neural-networks-e8b60dbbdeba\">Introduction to Math behind Neural Networks<\/a><\/h6>\n<h6><a href=\"https:\/\/ela.st\/supervised-ml-webinar\">Introduction to supervised machine learning in Elastic webinar<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/latex2e.pdf\">LaTeX: An unofficial reference manual<\/a><\/h6>\n<h6><a href=\"https:\/\/en.wikipedia.org\/wiki\/Laplacian_matrix\">Laplacian Matrix<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2021\/02\/ML-Approch-Foreign-Key-Discovery.pdf\">Machine Learning Approach for Foreign Key Discovery<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/machine-learning-for-text-classification-using-spacy-in-python-b276b4051a49\">Machine Learning for Text Classification Using Spacy in Python<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/Machinelearningtoepassingen.pdf\">Machine Learning Toepassingen<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/MagicMachineLearning.pdf\">Magic of Machine Learning<\/a><\/h6>\n<h6><a href=\"https:\/\/agilemanifesto.org\/\">Manifest for Agile Software Development and the Principles behind<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/series-on-distributed-computing-1-mapreduce-fcc3cc2dfb5\">MapReduce Example<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/Marketbasketanalysis.pdf\">Market Basket Analysis<\/a><\/h6>\n<h6><a href=\"https:\/\/sites.temple.edu\/tudsc\/2017\/03\/30\/measuring-similarity-between-texts-in-python\/\">Measuring Similarity Between Texts in Python<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/migrating-to-the-elastic-stack-guide10598.pdf\">Migrating to the Elastic Stack<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/paper-14-163.pdf\">Modeling the Energy Consumption of Smart Buildings using AI<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf\">MS Azure Machine Learning: Algorithm Cheat Sheet<\/a><\/h6>\n<h6><a href=\"https:\/\/www.networkpages.nl\/\">Network Pages<\/a><\/h6>\n<h6><a href=\"https:\/\/en.wikipedia.org\/wiki\/NewSQL\">NewSQL<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/nlp-gaining-insights-from-text-reviews-94ef955c58c0\">NLP: Gaining Insights from Text Reviews<\/a><\/h6>\n<h6><a href=\"https:\/\/en.wikipedia.org\/wiki\/NoSQL\">NoSQL<\/a><\/h6>\n<h6><a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/routines.linalg.html\">NumPy LinAlg<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/11\/Innovember_open_the_black_box.pdf\">Open the Black Box<\/a><\/h6>\n<h6><a href=\"https:\/\/machinelearningmastery.com\/model-based-outlier-detection-and-removal-in-python\/\">Model-Based Outlier Detection<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/monte-carlo-integration-in-python-over-univariate-and-multivariate-functions-12615dd252fa\">Monte Carlo Integration Integration Python<\/a><\/h6>\n<h6><a href=\"https:\/\/www.elastic.co\/blog\/multilingual-search-using-language-identification-in-elasticsearch\">Multilingual Search using Language Identification in Elasticsearch<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/Neuralenetwerken.pdf\">Neurale Netwerken<\/a><\/h6>\n<h6><a href=\"https:\/\/docs.dask.org\/en\/latest\/dataframe-api.html\">Parallel Computing with Dask<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/predicting-the-outcome-of-nba-games-with-machine-learning-a810bb768f20\">Predicting the outcome of NBA games<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/09\/Principles-of-Data-Science.pdf\">Principles of Data Science<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/python-parallelism-essential-guide-to-speeding-up-your-python-code-in-minutes-5ec71cbd88e1\">Python Parallelism: Essential Guide to Speeding Up Your Python Code<\/a><\/h6>\n<h6><a href=\"https:\/\/www.statmethods.net\/\">Quick-R<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/rbf.pdf\">Radial Basis Functions<\/a><\/h6>\n<h6><a href=\"https:\/\/machinelearningmastery.com\/random-subspace-ensemble-with-python\/\">Random Sub Space Ensemble with Python <\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/5-real-world-datasets-for-exploratory-data-analysis-21b7cc5afe7e\">Real World Datasets for Data Analysis<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/Regressie.pdf\">Regressie<\/a><\/h6>\n<h6><a href=\"https:\/\/en.wikipedia.org\/wiki\/Relational_database#RDBMS\">Relational Database<\/a><\/h6>\n<h6><a href=\"https:\/\/en.wikipedia.org\/wiki\/Relational_model\">Relational Model<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/factoextra.pdf\">R Package factoextra<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/ggpubr.pdf\">R Package ggpubr<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/OutlierDetection.pdf\">R Package OutlierDetection<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/bi-samenvatting-handboek-power-bi-1.html\">Samenvatting Handboek Power BI<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/bi-samenvatting-leerboek-business-intelligence-1.html\">Samenvatting Leerboek BI<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/Module4Sampling-JULY.pdf\">Sampling, Sampling Distributions, Parameter Estimation and Confidence Intervals<\/a><\/h6>\n<h6><a href=\"https:\/\/salib.readthedocs.io\/en\/latest\/\">Sensitivity Analysis Library in Python<\/a><\/h6>\n<h6><a href=\"https:\/\/christophm.github.io\/interpretable-ml-book\/shapley.html\">Shapely Plot<\/a><\/h6>\n<h6><a href=\"https:\/\/en.wikipedia.org\/wiki\/Spectral_clustering\">Spectral Clustering<\/a><\/h6>\n<h6><a href=\"https:\/\/en.wikipedia.org\/wiki\/SQL\">SQL<\/a><\/h6>\n<h6><a href=\"https:\/\/scikit-learn.org\/stable\/supervised_learning.html#supervised-learning\">Supervised Learning in Python<\/a><\/h6>\n<h6><a href=\"https:\/\/www.datacamp.com\/community\/tutorials\/svm-classification-scikit-learn-python\">Support Vector Machines with Scikit-learn<\/a><\/h6>\n<h6><a href=\"https:\/\/docs.influxdata.com\/telegraf\/v1.15\/\">Telegraf<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/overview-of-text-similarity-metrics-3397c4601f50\">Text Similarity Metrics in Python<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/Timemanagement-volgens-Stephen-R.-Covey.pdf\">Timemanagement volgens Covey<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/12\/10Algorithms-08.pdf\">Top 10 Algorithms in Datamining<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/topic-modeling-with-lda-using-python-c2c127613fa9\">Topic Modelling with LDA using Python<\/a><\/h6>\n<h6><a href=\"https:\/\/machinelearningmastery.com\/tpot-for-automated-machine-learning-in-python\/\">TPOT for automated machine learning in Python<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/the-trivial-transformer-85530426190a\">Trivial Transformer<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/10\/unit-test-generation_3710600.pdf\">Unit Test Generation Using Machine Learnin<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2021\/01\/data-quality-management.pdf\">Using Machine Learning in Data Quality Management<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/using-machine-learning-to-classify-server-incidents-36f837c107a\">Using Machine Learning to Classify Server Incidents<\/a><\/h6>\n<h6><a href=\"https:\/\/datascience.blog.wzb.eu\/2018\/02\/02\/vectorization-and-parallelization-in-python-with-numpy-and-pandas\/\">Vectorization and Parallelization in Python<\/a><\/h6>\n<h6><a href=\"https:\/\/blog.esciencecenter.nl\/parallel-r-in-a-nutshell-4391d45b5461\">Vectorization and Parallelization in R<\/a><\/h6>\n<h6><a href=\"https:\/\/nl.wikipedia.org\/wiki\/Vierkleurenstelling\">Vierkleurenstelling<\/a><\/h6>\n<h6><a href=\"https:\/\/piyanit.nl\/wp-content\/uploads\/2020\/11\/Webinar-Innovatief-en-creatief-talent-benutten-QA.pdf\">Webinar &#8216;Innovatief en creatief talent benutten&#8217; &#8211; Q&amp;A<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/10-best-free-websites-to-learn-more-about-data-science-and-machine-learning-f2c6d7387b8d\">Websites for Data Science and Machine Learning<\/a><\/h6>\n<h6><a href=\"https:\/\/towardsdatascience.com\/how-to-create-beautiful-word-clouds-in-python-cfcf85141214\">Word Clouds in Python<\/a><\/h6>\n","protected":false},"excerpt":{"rendered":"<p>AdaBoost Affiene Transformatie Agile Product Ownership in a Nutshell Analysis of Contextual Embedding Similarity for Similar Sentences Automated Data Quality Monitoring: Teach Machines what Data is right Bad Habits to avoid in Data Science Projects Begrippen Modelleren Gegevens Big Data Project Managen Boosting Methods for Regression Brief Overview of Basic Statistic and Probability Principles Can [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v14.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<meta name=\"robots\" content=\"index, follow\" \/>\n<meta name=\"googlebot\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta name=\"bingbot\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/piyanit.nl\/blog\/library\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Library - Data Science\" \/>\n<meta property=\"og:description\" content=\"AdaBoost Affiene Transformatie Agile Product Ownership in a Nutshell Analysis of Contextual Embedding 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