NICF- Text Processing Using Machine Learning (SF)

NUS Institute of Systems Science

How long?

  • 4 days
  • in person

NUS Institute of Systems Science

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

Business Analytics courses will introduce you to a popular and diverse profession. A business analyst is a specialist in many IT fields as well as in ...

Read more about Marketing

Marketing courses will plunge you into the vast field of marketing. In these courses, you will learn a variety of topics that cover each stage of runn...

Read more about Strategy

In order to keep the company that you are managing or your own business competitive, you need to have a clear plan of action, in other words, you must...

Reviews

Comprehensive course analysis

Unbiased reviews from past participants
Global companies alumni of this course worked for
Positions of participants who took this course
Countries where most past participants are from
FREE
Individual needs analysis

Who should attend

This course is designed for professional who would like to learn skills to implement advanced machine learning techniques such as deep learning techniques in building NLP models for performing common text processing tasks in industry. It will be useful for:

  • Machine learning engineers
  • Data scientists
  • Data analysts

Prerequisites

This is a course at advanced level, and focuses on the application of deep learning techniques in text mining tasks.

  • Participants must successfully completed NICF – Text Analytics (SF) course offered by NUS-ISS.
  • Participants must have strong programming skills using Python, familiar with packages like Numpy, Pandas, Scikit-Learn, and well versed with Anaconda, Jupyter Notebook, and GitHub.
  • Participants must have sufficient background knowledge of machine learning and text mining, with experience building models from text data using common ML techniques(e.g. SVM, MLFF NN, etc.).
  • Participants must understand basic calculus to appreciate basic machine learning mathematics.
  • Participants must code /program/debug in the hands-on practical sessions.

About the course

We are in an era where AI and analytics are transforming industries and people’s life at an unprecedented pace. In the recently released report from Gartner, Top 10 Strategic Technology Trends for 2018, the top two trends are AI Foundation, and Intelligent Apps and Analytics.

AI Foundation focuses on creating systems that learn, adapt and potentially act autonomously, and leveraging AI to enhance decision making, reinvent business models and ecosystems, and remake the customer experience. The technologies and techniques in AI Foundation have grown substantially over the years, as the availability of massive amounts of data has fed machine learning, resulting in the flourishing of more advanced algorithms in the form of deep learning.

The second trend, Intelligent Apps and Analytics, clearly states AI’s huge impact in the next-generation data and analytics paradigm, Augmented Analytics. Machine learning is key in this new paradigm, automating data preparation, insight discovery and insight sharing for a broad range of end-users and citizen data scientists, while expert data scientists focusing on specialized problems and on embedding models into applications. The need to perform processing on natural language data is reflected in the illustrated paradigm, identifying three tasks in this area – natural language processing (NLP), natural language query (NLQ), natural language generation (NLG).

In the field of NLP, deep learning techniques has taken a dominant position over tradition statistical methods. Researchers have been reporting much higher performance metrics applying deep learning to solve problems like text classification, language modeling, speech recognition, caption generation, machine translation, document summarization, question answering, etc.

This course, Text Processing Using Machine Learning, provides essential knowledge and skills required to perform deep learning based text processing in common tasks encountered in industries. A combination of lectures, case studies, and workshops will be used to cover the application of DL techniques such as word-embedding, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, character-based language modelling, encoder-decoder models, reinforcement learning, etc.

This course is part of the Stackable Certificate Programme in Business Analytics offered by NUS-ISS.

Key Takeaways

At the end of the course, the participants will be able to:

  • Identify common tasks that industry has with textual data
  • Gain a practical understanding about advanced machine learning techniques for NLP
  • Acquire proficiency in implementing and creating NLP models for the above tasks
  • Learn how the fundamentals and cutting-edge machine learning approaches work together for performing text-related tasks in industry.

What Will Be Covered

This 5 day course course provides essential knowledge and skills required to perform deep learning based text processing in common tasks encountered in industries.

This course will cover:

  • NLP and Deep Learning
  • Deep Learning Foundations
  • Word Embeddings
  • Text Classification
  • Language Models and Recurrent Neural Networks
  • Encoder-Decoder Models
  • Memory Networks
  • NLP & Bayesian Methods
  • Parsing

Experts

Fan Zhen Zhen

Zhenzhen has been with Institute of Systems Science, NUS, since 2006. She currently lectures in the Master of Technology programme in the areas of case-based reasoning, text mining, KBS development, hybrid KBS, and formal specification. Prior to joining ISS, she was a senior research engineer at ...

Wang Aobo

Aobo Wang is currently a lecturer and consultant with National University of Singapore, Institute of Systems Science (NUS-ISS) with responsibility in teaching, consulting and research. He lectures in the areas of text mining, natural language processing, and machine learning. He received his Ph.D...

NICF- Text Processing Using Machine Learning (SF) at NUS Institute of Systems Science

From  SGD 3 852$2,950
Add coaching to your course booking

Coaching can personalize and deepen learning for you and your organization.


Something went wrong. We're trying to fix this error.

Thank you for your application

We will contact the provider to ensure that seats are available and, if there is an admissions process, that you satisfy any requirements or prerequisites.

We may ask you for additional information.

To finalize your enrollment we will be in touch shortly.

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

What will you learn from Business Analytics courses? First of all, you will learn about the profession of a business analyst, his duties, and what such a specialist does. You will get various soft skills, such as organizing teamwork, for example, acc...

Read more about Marketing

During Marketing courses, you will learn how to develop a business idea and create the right website to promote your product. You will gain the skills to analyze your business performance and make key decisions that improve the efficiency of your bus...

Read more about Strategy

Strategy courses contain a large amount of practice. You will be able to analyze the company's performance and make a strategic development plan. All practices are based on real cases that each of you may encounter. The courses will also introduce yo...

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

We are happy to help you find a suitable online alternative.