IT class - August 10th [Community Learning Week •Phase 5] Activity

【Answer】1. ABCD    2. ABCD    3. B    4. ABCD    5. ABCD

【Winner】zaheernew,    Rumana,    hugu

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Hello, everyone!

Join the Community Learning week IT class! 

IT class learning time of this phase: August 9th – August 14th.

Answer time of this class: August 10th, 8 AM - August 11th, 4 PM (UTC+0).

Class topic

Post 1. Classification of Machine Learning

The ML(Machine Learning) is mainly divided into supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning....(More)

Post 2. What is Natural Language Processing(NLP)?

The NLP (Natural Language Processing), called natural language processing, is a science that enables computers to understand, analyze, and generate natural languages, the general process of research is to develop a model that can express language ability - propose various methods to continuously improve the language model ability - design various application systems based on the language model - and continuously improve the language model....(More)

Post 3. Important Concepts of Machine Learning

Some important concepts of machine learning include: Data Processing and Data Cleansing...(More)

Post 4. Importance and Methods of Feature Selection

The Feature Selection Methods include: Filter, Limitations, and Wrapper….(More)

Post 5. Overall Procedure of Machine Learning Model Building

The procedure of Model Building include: data splitting, model training, model verification, model fine-tuning, model deployment, and model test…(More)

Class Q&As

After attending this class, please answer the following questions and comment with the answers below this post.

Q1.(Multiple-Answer Question) What are the Classifications of Machine Learning?

A: Supervised learning

B: Reinforcement learning

C: Unsupervised learning

D: Semi-supervised learning

Q2.  (Multiple-Answer Question) What can NLP do?

A.  Segmentation

B.  Automatic abstraction

C.  Entity identification

D.  Word vector

Q3. (True or False) Data cleansing is to delete incorrect data.

A. True

B. False

Q4. (Multiple-Answer Question) What are Feature Selection Methods?

A. Limitations

B. Filter

C. Embedded

D. Wrapper

Q5.(Multiple-Answer Question) What does a good model include?

A. Prediction speed

B. Interpretability

C. Practicability

D. Generalization capability

Hope you get good grades, come on!

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