Be granted my degree with First Class Honours

I once wrote a blog to record my Master journey, and I receive a big news today.

I was granted my Master of Computer and Information Sciences wirh First Class Honours!

My Master journey is full with precious memories, including Summer Research Award, Master research thesis(A grade), two publications and the winner of X Challenge: The Idea. I already recorded the whole journey in my blog: https://lnkd.in/gVpHmTh 

Until now, I am also a regular blogger on wordpress (https://jacquiwu.com/) and medium(https://lnkd.in/gUfrYwQ), where I share technical experience about Business Intelligence and Data Science. 

Thanks for all the support in my nearly two years study, especially my supervisor. He taught me a lot, including enhancing research and learning ability. Although I am not ready to enhance my research ability in academia any more, I will keep powering up myself in Business Intelligence and Data Science area.

First Class Honours

If you are interested about New Zealand University, selecting papers, Summer Research Award, or how to publish papers on journals or international conferences, feel free to contact me and I can give you some suggestions.

If you are interested in or have any problems with Business Intelligence, also feel free to contact me .

Or you can connect with me through my LinkedIn.

Thesis Grade!!

Congratulations myself for securing an ‘A’ grade for my Master thesis (120 points)!

Looking forward to my graduation ceremony this December!

If you are interested about New Zealand University, selecting papers, Summer Research Award, or how to publish papers on journals or international conferences, feel free to contact me and I can give you some suggestions.

If you are interested in or have any problems with Business Intelligence, also feel free to contact me .

Or you can connect with me through my LinkedIn.

Natural Language Processing:A Brief Agenda to Get You Started

Recently I start to tutor one paper (COMP700 Text and Vision Intelligence) for AUT students in the weekends.

This paper mostly involves in Computer Vision and Text Mining (Natural Language Processing).

The two aspects are common applications about Aritificial Intelligence.

So, in this blog, I will provide a brief agenda about Natural Language Processing for people who want to get kick-start in Artificial Intelligence area.

General Intro NLP
~General overview
~Tasks to describe languages

Language model:
~Statistical model
~Neural network model

NLP with deep learning:
~Recurrent Neural Network
~Convolutional Neural Network

NLP at different levels:
~Phonetic/Phonological Analysis
~OCR
~Morphological analysis
~Syntactic analysis
~Semantic interpretation
~Discourse processing

NLP in industry:
~Search
~Automated/assisted translation
~Speech recognition
~Sentiment analysis
~Chatbot

What need to be done-representing:
~Morphology
~Sentence structure
~Senmantic
~Vectors

Word vector:
~Wordnet: a resource containing lists of synonym sets and hypernyms
~One-hot: as discrete symbols
~TF-IDF
~Word embedding: A word’s meaning is given by the words that frequently appear close-by

Knowledge graph-semantic drive way:
~Ontologies&Description logic
~OWL&RDF
~Semantic web
~Dgraph, Neo4j

Describing Language tasks:
~Segment(for Chinese)
~POS: Part Of Speech
~NER: Named Entity Recognition
~Algorithml:Rule-based taggers, Probabilistic tagger: HMM and Veterbi, Perceptron, Conditional model: CRF

Statistical Language Model:
~NNLM 2003
~RNNLM 2010
~CBoW: Continuous Bag-of-Words Model
~Skip-gram
~Word2vec

Neural Network:
~Neuron
~Activation function
~Back propagation: What’s cost function, How cost function used updated parameters

Activation function:
~Sigmoid
~Tanh
~ReLu (rectified lieaner)
~Softmax
~…

Deep Learning:
~Learn (multiple levels of) representation and an output from ‘raw’ inputs x
~Universal, learnable framework for representing world, visual and linguistic information
~Can learn unsupervised (from raw text) and supervised
~Why now popular:A large dataset, Faster machines and multicore CPU/GPU
~Why it works

Deep Learning Models:
~Feed-Forward Networks
~Recurrent Neural Networks: simple RNN, LSTM, GRU
~Generative Neural Networks

If you are interested in or have any problems with Natural Language Processing, feel free to contact me.

Or you can connect with me through my LinkedIn.

Why Machine Learning is So Popular and What is Learning

The oldest and strongest emotion of mankind is fear, and the oldest and the strongest kind of fear is the fear of unknown.

In order to solve this fear, human can only explore the relationship between input and output from the limited examples.

Then they can predict a situation that has never been seen before.

This is what learning is.

Learning: Exploring the pattern between input and output from limited examples.

So, the dataset is so important. Not only it needs to be large but also it is supposed to be precise.

This is why children have always been curious because they want to get all the examples to explore the world.

But until high school, the learning method we are exposed to is actually Transfer Learning.

It is the precedure that transfering the knowledge of the other people (e.g., teachers, parents) to your own brain.

But in this process, we have made too many mistakes.

Because Transfer Learning is killing the desire of human nature to learn.

At the same time, many people think this is what learning looks like.

They think Machine Learning is to put some patterns into the machine by programming.

In fact, machine learning is to let the machine learn to discover some patterns.

And the pattern found is called knowledge.

Actually, it is why Deep Learning is so important in Machine Learning and human learning methods.

Next blog we will explore what deep learning is and why human learning should act like deep learning.

If you are interested in or have any problems with Machine Learning, feel free to contact me .

Or you can connect with me through my LinkedIn.

How I Join Business Intelligence / Data Analysis Career(Academia)

Before February 2018: My Bachelor Degree

After I completed my bachelor degree of Information Security in Xidian University and experience in Huawei, I start to look for a new challenge.

Then I came to New Zealand to study the Master of Computer and Information Sciences in AUT.

February 2018 – July 2018: Selected Courses

In the first semester of my master degree, I enrolled in two papers: Data Mining and Machine Learning, Natural Language Processing.

The two courses have assisted me in broadening my knowledge while showing me the diverse research side of Computer Sciences, especially Machine Learning and Artificial Intelligence.

July 2018 – December 2018: Master Thesis

Then I enrolled in the 120 points thesis in the second semester.

The thesis research of my Master degree is totally a different challenge to me.

It differs from previous teaching courses because its requirements of the abilities of critical thinking and problem-solving are much stricter.

Moreover, research is also an iterative procedure, so patience and persistence are also essential when it comes with persistent failure.

Luckily, I met my primary supervisor and second supervisor, who guided and helped me a lot.

In 14th November (my birthday day) last year, my primary supervisor suggested me to apply for the Summer Research Award at AUT, which can further augment to my capabilities.

Summer Research Award is awarded to students who have got satisfactory results in the three-month project in AUT. The evaluation is based on the final data analysis report. Only 10 students in the Faculty of Computer Sciences can get the award.

December 2018 – February 2019: Summer Research Award

Then I applied for it and my proposal got approved.

Through three months, I successfully classified and achieved a 92% accuracy result by building a neural network model in this project.

In the last week of February this year, I developed creative contents as academic reports with online LaTeX Editor (Overleaf) to get my final payment.

I recommend the Summer Research Award in AUT, because not only it can bring you some extra gains and honour, but also it can offer you an opportunity to gain some practical skills.

The most important thing is that I start to realise I am more interested in practical industry rather than academia!

Attachment is the Summer Research Award I gained.

February 2019 – July 2019: Two Publications

I also developed my research and analytical skills while publishing two papers

  • “An automated privacy information detection approach for protecting individual online social network users” to the Japanese Society of Artificial Intelligence (JSAI) journal
  • “Privacy Information Classification: A Hybrid Approach” to The 4th International Workshop on Smart Simulation and Modelling for Complex Systems (SSMCS 2019)

Maybe some people think I should take a PhD degree to enhance my research skills. However, I am not interested in academia any more.

New Journey:

It is time for me to continue my journey and gain more experience in the industry of Business Intelligence and Data Science industry!

If you are interested about New Zealand University, selecting papers, Summer Research Award, or how to publish papers on journals or international conferences, feel free to contact me and I can give you some suggestions.

Or you can connect with me through my LinkedIn.