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Natural Language Processing (NLP) Fundamentals with Python Overview
Natural Language Processing (NLP) Fundamentals with Python Course Outline
Module 1: Introduction to NLP
- What is Natural Language Processing?
- Why is NLP Important?
- Applications of NLP
- Challenges in NLP
- Tools and Resources for NLP
Module 2: Text Preprocessing
- Text Cleaning and Normalisation
- Tokenisation
- Part of Speech Tagging
- Named Entity Recognition
- Stop Word Removal
Module 3: Text Representation
- Bag of Words
- Term Frequency-Inverse Document Frequency (TF-IDF)
- Word Embeddings
- Topic Modelling
Module 4: Text Classification
- Supervised Learning
- Naive Bayes
- Support Vector Machines (SVM)
- Decision Trees
- Evaluation Metrics for Text Classification
Module 5: Advanced NLP Techniques
- Sequence Labelling
- Language Modelling
- Neural Machine Translation
- Sentiment Analysis
- Text Summarisation
Who should attend this Natural Language Processing (NLP) Fundamentals with Python Course?
The Natural Language Processing (NLP) Fundamentals with Python Course can be beneficial for a wide range of individuals who are interested in understanding and working with text data. The following are some professionals who can benefit from this course:
- Software Developers
- Data Scientists
- Machine Learning Engineers
- Data Analysts
- Artificial Intelligence (AI) Researchers
- Product Managers
- Business Analysts
Prerequisites of the Natural Language Processing (NLP) Fundamentals with Python Course
Delegates should have a basic knowledge and understanding of Python.
Natural Language Processing (NLP) Fundamentals with Python Course Overview
Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that focuses on the interaction between computers and human language. It is pivotal in transforming industries like customer service, healthcare, and finance by enabling machines to understand, interpret, and generate human language in a valuable way.
Proficiency in NLP with Python is crucial for Data Scientists, AI Engineers, Software Developers, and Linguists. Mastering this field empowers professionals to create innovative text analysis solutions, sentiment analysis, language translation, and chatbots. It is essential for those aiming to stay competitive and drive advancements in technology across various sectors.
This intensive 2-day course equips delegates with fundamental concepts and practical skills in natural language processing using Python. Through hands-on workshops and expert-led sessions, delegates comprehensively understand text preprocessing, tokenisation, and sentiment analysis. Delegates learn to implement NLP models, interpret results, and optimise algorithms for diverse real-world scenarios.
Course Objectives
- To understand the foundational principles of natural language processing
- To explore various NLP techniques, including text preprocessing and tokenisation
- To apply NLP algorithms in sentiment analysis and language translation tasks
- To analyse and interpret NLP model results effectively
- To optimise and fine-tune NLP algorithms for improved performance
- To comprehend ethical considerations in deploying NLP solutions
Upon completing this course, delegates will have acquired the knowledge and skills necessary to implement and optimise NLP models using Python, making them invaluable assets in their professional fields.
What’s included in this Natural Language Processing (NLP) Fundamentals with Python Course?
- World-Class Training Sessions from Experienced Instructors
- Natural Language Processing (NLP) Fundamentals with Python Certificate
- Digital Delegate Pack
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Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Natural Language Processing (NLP) Fundamentals with Python. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
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Unlock your potential with The Knowledge Academy's Natural Language Processing (NLP) Fundamentals with Python, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
Experience the most sought-after learning style with The Knowledge Academy's Natural Language Processing (NLP) Fundamentals with Python. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Natural Language Processing (NLP) Fundamentals with Python sessions.
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What our customers are saying
Mohammad was brilliant in recognising my level of previous and current understanding of the subject and tailoring the course to provide me with essential information about the subject so that I can develop full understanding surrounding the course as well.
Michael Wynne
Natural Language Processing (NLP) Fundamentals with Python FAQs
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. It involves the use of algorithms to analyse, understand, and generate human language in a way that is valuable.
Yes, Python is one of the most commonly used programming languages for NLP due to its extensive libraries, such as NLTK, spaCy, and TensorFlow, which provide robust tools for text processing and natural language understanding.
The fundamentals of NLP include text preprocessing (tokenisation, stemming, lemmatisation), syntax analysis (part-of-speech tagging, parsing), semantic analysis (sentiment analysis, named entity recognition), and machine learning for language models.
This certification aims to equip delegates with the foundational knowledge of NLP concepts and how to apply Python tools to analyse, preprocess, and manipulate language data for tasks like text classification, sentiment analysis, and machine translation.
This training provides hands-on experience with Python for NLP, teaches you key techniques to analyse textual data, improves your ability to work with large language datasets, and prepares you for real-world NLP applications, opening up career opportunities in AI and data science.
Delegates should have basic programming skills in Python and a general understanding of machine learning concepts. Additionally, some familiarity with data structures and algorithms will also be beneficial.
This Natural Language Processing (NLP) Fundamentals with Python Training Course is considered intermediate level, as it introduces NLP fundamentals and Python libraries. However, it is accessible to beginners with a basic understanding of Python.
This Natural Language Processing (NLP) Fundamentals with Python Course is suitable for Data Scientists, Machine Learning Engineers, Software Developers, and anyone interested in learning how to implement NLP solutions using Python.
Holding this certification demonstrates your proficiency in applying NLP techniques using Python, making you a valuable candidate for roles in AI, data science, and machine learning, where language processing is a core function.
This NLP Fundamentals with Python Course includes hands-on coding exercises, practical case studies, text preprocessing techniques, machine learning models for NLP, and deep learning methods for advanced language analysis.
Data Scientists, Machine Learning Practitioners, AI Researchers, Software Engineers, and professionals working with text data who want to deepen their understanding of NLP can benefit from these courses.
The duration of this NLP Fundamentals with Python Training Course spans across 2 days. For self-paced courses, the duration may vary based on the delegate's schedule, allowing flexibility to complete the training at their own pace.
Yes, The Knowledge Academy provides corporate training for this NLP Fundamentals with Python Course to train teams on applying NLP techniques, enabling businesses to leverage text data for analytics, automation, and AI solutions.
After completing the training, you can apply NLP techniques in real-world projects, pursue advanced courses in machine learning and AI, or aim for NLP-related roles in data science, AI development, or text analytics.
Yes, 24/7 support is available throughout this NLP Training Course. Delegates can access help for any technical issues, queries regarding course materials, or assistance with accessing the training platform at any time.
Online NLP Courses provide flexibility and allow you to learn at your own pace. They offer hands-on projects, access to expert instructors, and enable you to develop highly sought-after skills in AI and text analytics.
Yes, self-paced training is available for those who prefer flexibility in their learning schedule. Delegates can access the course materials, including videos and exercises, and complete the training at their own convenience.
If you encounter issues accessing your Natural Language Processing (NLP) Training, you should contact The Knowledge Academy's support team. They will help troubleshoot technical issues and provide alternative access to the course materials.
Upon completing this course, you can pursue roles such as NLP Engineer, Data Scientist specialising in text analytics, Machine Learning Engineer, AI Developer, or Research Scientist in natural language technologies.
You will learn how to apply text preprocessing methods, build machine learning models for language tasks, perform sentiment analysis and text classification, and work with Python libraries like NLTK, spaCy, and TensorFlow for NLP projects.
The training fees for Natural Language Processing (NLP) Fundamentals with Pythonin Malaysia starts from $3195
The Knowledge Academy is the Leading global training provider for Natural Language Processing (NLP) Fundamentals with Python.
Please see our Artificial Intelligence & Machine Learning courses available in Malaysia
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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