Learn step-by-step what it takes to become a Natural Language Processing Developer
The Certified Natural Language Processing qualification gives you knowledge about NLP techniques and best practices with hands-on experience in delivering computer vision projects.
Duration
6 days / 48 hours
Level
Intermediate to Advanced
Delivery
100% Online - Instructor Led
- Course CodeML104
- AudienceAnyone with interest in Machine Learning And Python
- LanguageEnglish
- CertificationAwarded by ICTC
Program Curriculum
Module 1 - Introduction to Natural Language Processing (NLP)
Introduction to Natural Language Processing (NLP)
- What is Natural Language Processing (NLP)
- Applications of Natural Language Processing (NLP)
- Using Natural Language Processing with Python
- Understanding and setting up Python NLTK package
Module 2 - Understanding Data For Natural Language Processing (NLP)
Understanding Data For Natural Language Processing (NLP)
- Introduction to Corpus and Corpora
- Categorical and Qualitative Data Attributes
- Numerical and Quantitative Data Attributes
- File Formats for Corpora
- Dataset Preparation for NLP Application
- Web scraping
Module 3 - Introduction to Morphological Analysis
Introduction to Morphological Analysis
- Understanding Morphology
- Morphemes and Stem
- Using Morphological Analysis to Identify a Word
- Classification of Morphemes
- Lexical Analysis
- Tokens and Part of Speech tags
- Stemming vs Lemmatization
- Performing Syntactic Analytics
Module 4 - Performing Semantic Analysis
Performing Semantic Analysis
- Semantic Analysis
- Understanding Lexical Semantics
- Hyponymy and hyponyms
- Application of Semantic Analysis
Module 5 - Ambiguity in Natural Language Processing (NLP)
Ambiguity in Natural Language Processing (NLP)
- What is Ambiguity
- Lexical Ambiguity
- Syntactic Ambiguity
- Semantic Ambiguity
- Pragmatic Ambiguity
- Performing Pragmatic Analysis
Module 6 - Pre-Processing in Natural Language Processing
Pre-Processing in Natural Language Processing
- Handling Corpus-Raw Text
- Handling of Corpus-Raw Sentences
- Preprocessing Essentials
- Customized Preprocessing
Module 7 - Featured Engineering and NLP Algorithms
Featured Engineering and NLP Algorithms
- What is feature engineering?
- Parsers and Parsing in Natural Language Processing (NLP)
- POS Tagging and POS Taggers
- Name Entity Recognition
- Introduction to n-grams
- Bag of Words
- Statistics for NLP
- Probabilistic Theory for NLP
Module 8 - Key Components of Featured Engineering
Key Components of Featured Engineering
- What is TF-IDF
- Using of textblob
- Python Scikit-learn
- Vectorization, Normalization
- Probabilistic Models
- Indexes
Module 9 - Advanced Featured Engineering Techniques
Key Components of Featured Engineering
- Understanding Recall Word Embedding
- Distributional Semantics with word2vec
- Unsupervised Distribution Semantic Mode
- Blackbox to Whitebox
- Core Components of word2vec Model
- Logic of word2vec Model
- Neural Network Algorithm
Key Features
- Personalized Study Resources
- Real-world workshop based learning
- Quality self-paced videos
- Interactive Learning
- Sharable digital badge
Pre-Requisites
- Analytical Mindset
- Willingness to self learn online
- No prior experience is required
- We will start from the very basics
- Committed to complete all tasks
Who Should Join
- Professional switching careers
- Business Analysts
- Students
- New Programmers
- Anyone interested in Python
Program Key Highlights
40 hours of Remote Online Learning
80 Additional Self Learning Hours
12 Live Hands-on Projects
Certified by International Body
Mentorship with Industry Experts
Designed for Beginners & Professionals
Request for more Information
Get Professionally Certified
Upon successfully completing this program, participants will be awarded the Professional Certification in Python Data Science by International Council for Technology Certifications (ICTC).
This award is a validation to the efforts taken to master the domain expertise that will set you apart from your competition.
Be a part of the global network of data science professionals and join the community across sectors.
Get in Touch With Us Today!
This training program is suitable for anyone who intends to enter into the field of Data Science and Machine Learning. This program is being conducted in Malaysia and can be joined by anyone, anywhere in the world remotely.
Program Fee
RM 3,700.00
One-time fee. One year access to course materials.
Join Us For Our Next Program
And step up your Machine Learning Career
*Payments are only accepted once applicants are enrolled into the program.*
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