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Natural Language Processing with Deep Dive in Python and NLTK培訓
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 班級規(guī)模及環(huán)境--熱線:4008699035 手機:15921673576( 微信同號) |
| 每個班級的人數(shù)限3到5人，互動授課， 保障效果，小班授課。 |
| 上間和地點 |
上課地點：【上海】：同濟大學(滬西)/新城金郡商務樓(11號線白銀路站) 【深圳分部】：電影大廈(地鐵一號線大劇院站)/深圳大學成教院 【北京分部】：北京中山學院/福鑫大樓 【南京分部】：金港大廈(和燕路) 【武漢分部】：佳源大廈（高新二路） 【成都分部】：領館區(qū)1號（中和大道） 【沈陽分部】：沈陽理工大學/六宅臻品 【鄭州分部】：鄭州大學/錦華大廈 【石家莊分部】：河北科技大學/瑞景大廈 【廣州分部】：廣糧大廈 【西安分部】：協(xié)同大廈
最近開間(周末班/連續(xù)班/晚班）：2018年3月18日 |
| 實驗設備 |
◆小班教學，教學效果好
☆注重質量☆邊講邊練
☆合格學員免費推薦工作
★實驗設備請點擊這兒查看★ |
| 質量保障 |
1、培訓過程中，如有部分內容理解不透或消化不好，可免費在以后培訓班中重聽；
2、培訓結束后,授課老師留給學員聯(lián)系方式,保障培訓效果,免費提供課后技術支持。
3、培訓合格學員可享受免費推薦就業(yè)機會。☆合格學員免費頒發(fā)相關工程師等資格證書，提升職業(yè)資質。專注高端技術培訓15年，端海學員的能力得到大家的認同，受到用人單位的廣泛贊譽，端海的證書受到廣泛認可。 |
課程大綱 |
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- Introduction to Python
Introduction
- 1 - Installing Python
- 2 - Numbers
- 3 - Strings
- 4 - Slicing up Strings
- 5 - Lists
- 6 - Installing PyCharm
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- Conditional Statements
- 7 - if elif else
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- Iterations
- 8 - for
- 9 - Range and While
- 10 - Comments and Break
- 11 - Continue
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- Functions
- 12 - Functions
- 13 - Return Values
- 14 - Default Values for Arguments
- 15 - Variable Scope
- 16 - Keyword Arguments
- 17 - Flexible Number of Arguments
- 18 - Unpacking Arguments
- 19 - My trip to Walmart and Sets
- 20 - Dictionary
- 21 - Modules
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- Playing with Requests and Files
- 22 - Download an Image from the Web
- 23 - How to Read and Write Files
- 24 - Downloading Files from the Web
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- Exceptions
- 28 - Exceptions
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- Object Oriented Programs
- 29 - Classes and Objects
- 30 - init
- 31 - Class vs Instance Variables
- 32 - Inheritance
- 33 - Multiple Inheritance
- 34 - threading
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- Playing around with Python
- 35 - Unpack List or Tuples
- 36 - Zip (and yeast infection story)
- 37 - Lamdba
- 38 - Min, Max, and Sorting Dictionaries
- 39 - Pillow
- 40 - Cropping Images
- 41 - Combine Images Together
- 42 - Getting Individual Channels
- 43 - Awesome Merge Effect
- 44 - Basic Transformations
- 45 - Modes and Filters
- 46 - struct
- 47 - map
- 48 - Bitwise Operators
- 49 - Finding Largest or Smallest Items
- 50 - Dictionary Calculations
- 51 - Finding Most Frequent Items
- 52 - Dictionary Multiple Key Sort
- 53 - Sorting Custom Objects
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- Add Ons:
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- 54 - Database Connectivity and Querying for MySQL
- 55 - Quick look into Regular Expressions
- 56 - Playing around with REST API
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- Writing a Web Crawler
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- Natural Language Processing and NLTK
Introduction to NLP (examples in Python of course)
- Simple Text Manipulation
- Searching Text
- Counting Words
- Splitting Texts into Words
- Lexical dispersion
- Processing complex structures
- Representing text in Lists
- Indexing Lists
- Collocations
- Bigrams
- Frequency Distributions
- Conditionals with Words
- Comparing Words (startswith, endswith, islower, isalpha, etc...)
- Natural Language Understanding
- Word Sense Disambiguation
- Pronoun Resolution
- Machine translations (statistical, rule based, literal, etc...)
- Exercises
- NLP in Python in examples
- Accessing Text Corpora and Lexical Resources
- Common sources for corpora
- Conditional Frequency Distributions
- Counting Words by Genre
- Creating own corpus
- Pronouncing Dictionary
- Shoebox and Toolbox Lexicons
- Senses and Synonyms
- Hierarchies
- Lexical Relations: Meronyms, Holonyms
- Semantic Similarity
- Processing Raw Text
- Priting
- struncating
- extracting parts of string
- accessing individual charaters
- searching, replacing, spliting, joining, indexing, etc...
- using regular expressions
- detecting word patterns
- stemming
- tokenization
- normalization of text
- Word Segmentation (especially in Chinese)
- Categorizing and Tagging Words
- Tagged Corpora
- Tagged Tokens
- Part-of-Speech Tagset
- Python Dictionaries
- Words to Propertieis mapping
- Automatic Tagging
- Determining the Category of a Word (Morphological, Syntactic, Semantic)
- Text Classification (Machine Learning)
- Supervised Classification
- Sentence Segmentation
- Cross Validation
- Decision Trees
- Extracting Information from Text
- Chunking
- Chinking
- Tags vs Trees
- Analyzing Sentence Structure
- Context Free Grammar
- Parsers
- Building Feature Based Grammars
- Grammatical Features
- Processing Feature Structures
- Analyzing the Meaning of Sentences
- Semantics and Logic
- Propositional Logic
- First-Order Logic
- Discourse Semantics
- Managing Linguistic Data
- Data Formats (Lexicon vs Text)
- Metadata
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