教程-NLP – Natural Language Processing with Python
$200|BESTSELLER|LastUpdated1/2019
Duration:11.5hours|Video:h264,1280x720|Audio:AAC,44KHz,2Ch| 
Genre:eLearning|Language:English+Sub|79Lectures

LearntouseMachineLearning,Spacy,NLTK,SciKit-Learn,DeepLearning,andmoretoconductNaturalLanguageProcessing

Whatyou'lllearn
LearntoworkwithTextFileswithPython
LearnhowtoworkwithPDFfilesinPython
UtilizeRegularExpressionsforpatternsearchingintext
UseSpacyforultrafasttokenization
LearnaboutStemmingandLemmatization
UnderstandVocabularyMatchingwithSpacy
UsePartofSpeechTaggingtoautomaticallyprocessrawtextfiles
UnderstandNamedEntityRecognition
VisualizePOSandNERwithSpacy
UseSciKit-LearnforTextClassification
UseLatentDirichletAllocationforTopicModelling
LearnaboutNon-negativeMatrixFactorization
UsetheWord2Vecalgorithm
UseNLTKforSentimentAnalysis
UseDeepLearningtobuildoutyourownchatbot

Requirements
UnderstandgeneralPython
Havepermissionstoinstallpythonpackagesontocomputer
Internetconnection

Description
WelcometothebestNaturalLanguageProcessingcourseontheinternet!ThiscourseisdesignedtobeyourcompleteonlineresourceforlearninghowtouseNaturalLanguageProcessingwiththePythonprogramminglanguage.

InthecoursewewillcovereverythingyouneedtolearninordertobecomeaworldclasspractitionerofNLPwithPython.

We'llstartoffwiththebasics,learninghowtoopenandworkwithtextandPDFfileswithPython,aswellaslearninghowtouseregularexpressionstosearchforcustompatternsinsideoftextfiles.

AfterwardswewillbeginwiththebasicsofNaturalLanguageProcessing,utilizingtheNaturalLanguageToolkitlibraryforPython,aswellasthestateoftheartSpacylibraryforultrafasttokenization,parsing,entityrecognition,andlemmatizationoftext.

We'llunderstandfundamentalNLPconceptssuchasstemming,lemmatization,stopwords,phrasematching,tokenizationandmore!

NextwewillcoverPart-of-Speechtagging,whereyourPythonscriptswillbeabletoautomaticallyassignwordsintexttotheirappropriatepartofspeech,suchasnouns,verbsandadjectives,anessentialpartofbuildingintelligentlanguagesystems.

We'llalsolearnaboutnamedentityrecognition,allowingyourcodetoautomaticallyunderstandconceptslikemoney,time,companies,products,andmoresimplybysupplyingthetextinformation.

Throughstateoftheartvisualizationlibrarieswewillbeableviewtheserelationshipsinrealtime.

ThenwewillmoveontounderstandingmachinelearningwithScikit-Learntoconducttextclassification,suchasautomaticallybuildingmachinelearningsystemsthatcandeterminepositiveversusnegativemoviereviews,orspamversuslegitimateemailmessages.

Wewillexpandthisknowledgetomorecomplexunsupervisedlearningmethodsfornaturallanguageprocessing,suchastopicmodelling,whereourmachinelearningmodelswilldetecttopicsandmajorconceptsfromrawtextfiles.

Thiscourseevencoversadvancedtopics,suchassentimentanalysisoftextwiththeNLTKlibrary,andcreatingsemanticwordvectorswiththeWord2Vecalgorithm.

Includedinthiscourseisanentiresectiondevotedtostateoftheartadvancedtopics,suchasusingdeeplearningtobuildoutourownchatbots!

Notonlydoyougetfantastictechnicalcontentwiththiscourse,butyouwillalsogetaccesstobothourcourserelatedQuestionandAnswerforums,aswellasourlivestudentchatchannel,soyoucanteamupwithotherstudentsforprojects,orgethelponthecoursecontentfrommyselfandthecourseteachingassistants.

Allofthiscomeswitha30daymoneybackgaruantee,soyoucantrythecourseriskfree.

Whatareyouwaitingfor?Becomeanexpertinnaturallanguageprocessingtoday!

Iwillseeyouinsidethecourse,

Jose

Whothiscourseisfor:
PythondevelopersinterestedinlearninghowtouseNaturalLanguageProcessing.