INFINITE.SKILLS.NATURAL.LANGUAGE.TEXT.PROCESSING.WITH.PYTHON-iLLiTERATE

Section

Appz

Group

iLLiTERATE

Size

465,85 MB

Files

12

Date

2018-12-14

NFO

                                      ▓▀▄
                                      ▓ █
                                      ▓ ▄
                                      ▓ █ ▄
                                      ▓ █ ▀
                                      ▓ █ ▓
                                    █ ▓ █ ▓
                                    █ ▓ █ ▓
                                  ▄ █ ▓ █ ▓
                                  ▀ █ ▓ █ ▓
                                  ▓ █ ▓ █ ▓ █
                                  ▀▓▀ ▓ █ ▓▄█    ▄
                                   ▓   ▓▀  ▓     ▀
                        ▄    ▄     █   ▓   █          ▄
                        ▀        ▀ ▀   █   ▀     █    █ ▄
                      ▄ █    █   █ █   █ ▀ █   █ ▀ ▓  ▀▓▀
                      ▀▓▀  ▓ ▄ █ █ ▓ █ █ ▓ ▀ ▓ █ █ ▓ █ █
            ▀          █ █ ▓ █ █ ▀ ▓ █ █ ▓ █ ▓ █ █ ▀ █ █ ▄        ▀
      ▄▄▄▄▄▄█▄▄▄▄▓▄▄▄▄▄▄▄▓▄▓▄▄▄█▄█▄▓▄█▄█▄▓▄█▄▄▄█▄█▄█▄█▄▓▄▄▄▄▄█▄▄▄▄▓▄▄▄▄▄▄▄

       ▓▓█  ▓▓█   ▓▓█   ▓▓█  ▓▓█   ▓▓██████▀ ▓▓█▄█   ▄████  ▓▓█   ▓▓██████▀▀ ▀▀
      ▓▓██ ▓▓██  ▓▓██  ▓▓██ ▓▓██  ▓▓██ ▓███ ▓▓██▀ ▄▄▄▄▄▓██ ▓▓██  ▓▓██ ▓███
      ▀▀▀▀ ▓▓██  ▓▓██  ▀▀▀▀ ▓▓██  ▓▓██ ▓███ ▓▓██ ▄▓▓█▀▀███ ▓▓██  ▓▓██ ▓███
▀ ▀▀▀▀▓▓██ ▓▓██  ▓▓██ ▀▓▓██ ▓▓██  ▓▓██ ▓███ ▓▓██ ▓▓██ ▓███ ▓▓██  ▓▓██ ▓███
      ▓▓██ ▓▓██  ▓▓██  ▓▓██▀▓▓███▀▄▓█▄▄███▀ ▓▓██ ▓▓██ ▓███▀▓▓███▀▄▓█▄▄███▀
      ▓▓██ ▓▓██  ▓▓██  ▓▓██ ▓▓██  ▓▓█▀▀▀▀▀  ▓▓██ ▓▓██ ▓███ ▓▓██  ▓▓█▀▀▀.cn
      ▓▓█▀ ▓▓███▀▄▓███▀▄▓█▀ ▓▓███▀▄▓██▀     ▓▓█▀ ▓▓██████▀ ▓▓███▀▄▓██▀ CRO

      ▄██▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀██▀
      ▓██                                                              ▓██
      ▓██         Natural Language Text Processing with Python         ▓██
      ▓██                                                              ▓██
      ▓██                                                              ▓██
       ▓██▀▀                                                        ▀▀▓██
      ▓██   ## Jonathan Mugan                                          ▓██
      ▓██   ## Estimated time to complete: 1h 52m                      ▓██
      ▓██   ## Topics Natural Language Processing                      ▓██
      ▓██   ## Published byInfinite Skills 2017                        ▓██
      ▓██                                                              ▓██
      ▓██                                                              ▓██
      ▓██                       >> 2018x12                             ▓██
      ▓██                       >> 10x50                               ▓██
      ▓██                       >> +1                                  ▓██
      ▓██                                                              ▓██
      ▓██                                                              ▓██
       ▓██▀▀                                                        ▀▀▓██
      ▓██   // https://resources.oreilly.com/                          ▓██
      ▓██   \\ https://www.safaribooksonline.com/                      ▓██
      ▓██   // https://www.oreilly.com/                                ▓██
      ▓██                                                              ▓██
       ▓██▀▀                                                        ▀▀▓██
      ▓██                                                              ▓██
      ▓██   Even though computers can't read, they're very effective   ▓██
      ▓██   at extracting information  from  natural  language text.   ▓██
      ▓██   They can determine the  main themes in  the text, figure   ▓██
      ▓██   out if the writers of the text have positive or negative   ▓██
      ▓██   feelings about  what  they've  written,  decide  if  two   ▓██
      ▓██   documents are  similar,  add  labels to  documents,  and   ▓██
      ▓██   more.                                                      ▓██
      ▓██                                                              ▓██
      ▓██   This course shows you how  to accomplish some common NLP   ▓██
      ▓██   (natural language  processing)  tasks using  Python,  an   ▓██
      ▓██   easy to  understand,  general programming  language,  in   ▓██
      ▓██   conjunction with the Python NLP  libraries, NLTK, spaCy,   ▓██
      ▓██   gensim, and  scikit-learn. The  course  is designed  for   ▓██
      ▓██   basic  level   programmers   with  or   without   Python   ▓██
      ▓██   experience.                                                ▓██
      ▓██                                                              ▓██
      ▓██       Gain practical hands-on  natural language processing   ▓██
      ▓██   experience                 using                  Python   ▓██
      ▓██       Understand  how  to  tokenize  text  so  it  can  be   ▓██
      ▓██   processed                   as                   symbols   ▓██
      ▓██       Learn to convert  text  and words  to  vectors using   ▓██
      ▓██   TF-IDF                   and                    word2vec   ▓██
      ▓██       Explore dependency parsing,  sentiment analysis, and   ▓██
      ▓██   LDA                    topic                    modeling   ▓██
      ▓██       Learn to find named entities in text and map them to   ▓██
      ▓██   an           external           knowledge           base   ▓██
      ▓██       Understand  the  capabilities   and  limitations  of   ▓██
      ▓██   natural language text processing                           ▓██
      ▓██                                                              ▓██
      ▓██   Jonathan Mugan is CEO  and co-founder  of DeepGrammar, a   ▓██
      ▓██   natural language processing company. Jonathan  has a PhD   ▓██
      ▓██   in computer science  from the  University of  Texas, and   ▓██
      ▓██   has been working in AI  and machine learning since 2003.   ▓██
      ▓██   He describes his research  focus as  "making the squishy   ▓██
      ▓██   reality of our everyday world available to computation."   ▓██
      ▓██                                                              ▓██
      ▓██                                                              ▓██
       ▓██▀▀                                                        ▀▀▓██
      ▓██        WEE ASUMME NO LIIABILLITY FUR A WROONG SPELING        ▓██
      ▓██            COZ WEE ARRE A NON (iL)LiTERATE GRUP!!            ▓██
      ▓██                                                              ▓██
      ▓██            TANNKS TU THE LITERATE ASKII FRIIEND!!            ▓██
       ██▄▄                                                          ▄▄██
        ▀▀▀▀▀▀ ▀▀█▀▀▓▀▀█▀▀▀█▀▄▀█▀▓▀█▀▀▀█▀▄▀█▀▓▀█▀█▀▀▀█▀▓▀▀█▀▀▀█▀▀ ▀▀▀▀▀▀
                    ▀  ▓ █ █ ▄ █ ▓ █ █ ▓ █ █ ▓ ▄ ▓ █ █ ▓  ▀
                       ▓ █ █ █ █ ▓ █ ▄ ▓ █ █ ▓ █ ▓ ▀ █
                         █   █ ▄ █   █ ▄ █   ▓ █   █
                         ▄     ▓     ▀ ▓ █   ▀ ▀
                                       ▓ █   █     ▀
                               ▄       ▓ █
                                       ▓ ▄
                                       ▀ █
                                       ▓ █
                                       ▓▄▀

Files