Skip to main content

AI for Everyone

You might have heard of a lot about AI, Machine learning, Data science, Deep learning, etc,... But, what exactly these terms mean and how is the connection between those. Here is my understanding:

There are two ideas of AI:
- ANI (Artificial Narrow Intelligence): E.g., smart speaker, self-driving car and web search.
- AGN (Artificial General Intelligence): do anything a human can do.

ANI is realistic and incredibly valuable. Though AGN is still too far away, and there is no need to unduly worry about it.

When talking about data in term of AI that means talking about dataset. There are several methods to get a dataset:
- Manual labeling
- Observing user behaviors
- Observing behaviors of other things such as machine
- Downloading dataset from a website or acquiring it from a partner.

Machine learning (ML) is a tool in AI. Supervised learning is a type of ML that learns A to B, or input to output mappings. Deep learning/Neural networks is a type of supervised learning which can maximize the performance of AI when dataset is big today.

Is AI a subset of data science?

No! Data science uses many tools from AI machine learning, but has some other separate tools as well that solves a very set of important problems in driving business insights.

- ML project output: a running AI system
- Data science project output: a set of insights


Reference
Labels:
Reactions:

Comments

Post a Comment

Popular posts from this blog

Creating a Chatbot with RiveScript in Java

Motivation"Artificial Intelligence (AI) is considered a major innovation that could disrupt many things. Some people even compare it to the Internet. A large investor firm predicted that some AI startups could become the next Apple, Google or Amazon within five years"
- Prof. John Vu, Carnegie Mellon University.

Using chatbots to support our daily tasks is super useful and interesting. In fact, "Jenkins CI, Jira Cloud, and Bitbucket" have been becoming must-have apps in Slack of my team these days.

There are some existing approaches for chatbots including pattern matching, algorithms, and neutral networks. RiveScript is a scripting language using "pattern matching" as a simple and powerful approach for building up a Chabot.
Architecture Actually, it was flexible to choose a programming language for the used Rivescript interpreter like Java, Go, Javascript, Python, and Perl. I went with Java.


Used Technologies and ToolsOracle JDK 1.8.0_151Apache Maven 3.5…
9 comments
Read more

Applying pipeline “tensorflow_embedding” of Rasa NLU

According to this nice article, there was a new pipeline released using a different approach from the standard one (spacy_sklearn). I wanted to give it a try to see whether it can help with improving bot’s accuracy.

After applying done, I gave an evaluation of “tensorflow_embedding”. It seemed to work better a bit. For example, I defined intents “greet” and “goodbye” with some following messages in my training data.
## intent:greet- Hey! How are you? - Hi! How can I help you? - Good to see you! - Nice to see you! - Hi - Hello - Hi there ## intent:goodbye- Bye - Bye Bye - See you later - Take care - Peace In order to play around with Rasa NLU, I created a project here. You can have a look at this change from this pull request. Yay!

 When I entered message “hi bot”, then bot with “tensorflow_embedding” could detect intent “greet” with better confidence scores rather than bot with “spacy_sklearn”. The following are responses after executing curl -X POST localhost:5000/parse -d '{&qu…
3 comments
Read more

[Snippet] CSS - Child element overlap parent

I searched from somewhere and found that a lot of people says a basic concept for implementing this feature looks like below:
HTML code:
<div id="parent">  <div id="child">  </div> </div> And, CSS:
#parent{   position: relative;   overflow:hidden; } #child{   position: absolute;   top: -1;   right: -1px; }
However, I had a lot of grand-parents in my case and the above code didn't work. Therefore, I needed an alternative. I presumed that my app uses Boostrap and AngularJs, maybe some CSS from them affects mine. I didn't know exactly the problem, but I believed when all CSS is loaded into my browser, I could completely handle it.

www.tom-collinson.com

I tried to create an example to investigated this problem by Fiddle. Accidentally, I just changed: position: parent; to position: static; for one of parents -> the problem is solved.
Look at my code:

<div class="modal-body dn-placeholder-parent-position"> <div clas…
5 comments
Read more

What the heck is Meteor DDP?

I am using Meteor for my messenger project. I was so curious about the real time connection. I wanted to know how exactly this mechanism works. In this post, I will go through the DDP Specification, an overview of WebSocket, and a simple demo about how to subscribe a publication of Rocket.Chat (containing a DDP server) from an external webpage.
At a glance, I knew that Meteor invented a protocol called DDP which uses for handling real time connection. So then, what is DDP?
DDP (Distributed Data Protocol) is the stateful WebSocket protocol that Meteor uses to communicate between the client and the server. [1]

All right! Why does DDP matter?
DDP is a standard way to solve the biggest problem facing client-side JavaScript developers: querying a server-side database, sending the results down to the client, and then pushing changes to the client whenever anything changes in the database. [2]

In order to understand deeply the protocol, I decided to explore its specification, and took a look at i…
Post a Comment
Read more

The HelloWorld example of JSF 2.2 with Myfaces

I just did by myself create a very simple app "HelloWorld" of JSF 2.2 with a concrete implementation Myfaces that we can use it later on for our further JSF trying out. I attached the source code link at the end part. Just follow these steps below:

1. Create a Maven project in Eclipse (Kepler) with a simple Java web application archetype "maven-archetype-webapp". Maven should be the best choice for managing the dependencies, so far. JSF is a web framework that is the reason why I chose the mentioned archetype for my example.

2. Import dependencies for JSF implementation - Myfaces (v2.2.10) into file pom.xml. The following code that is easy to find from http://mvnrepository.com/ with key words "myfaces".

<dependency> <groupId>org.apache.myfaces.core</groupId> <artifactId>myfaces-api</artifactId> <version>2.2.10</version> </dependency> <dependency> <groupId>org.apache.myfaces.core</groupId&g…
Post a Comment
Read more