While working through I am working through Programming Collection Intelligence I found myself sending a lot of time translating the Python code to java, being typically impatient at my slow progress, I went searching for alternatives.
I found 3:
This is by no means an in-depth investigation, I simply downloaded what the relevant projects had available and quickly compared what was available to me to learn and implement AI related samples / applications.
- You Tube video tutorials
- E-Books available for both Java and .Net
- C# implementation
- Closure wrapper
- Seems active
- Quite large code base to wrap your head around, this is probably due to the size of the domain we are looking at, but still much more intimidating to start off with vs. the Java ML library.
- Seems reasonably stable
- Well documented source code
- Well defined simple algorithm implementations
- Lacks the tutorial support for a AI newbie like myself
- Could not install Weka 3-7-9 dmg… kept on giving me a “is damaged and can’t be opened error, so left it there, as Sweet Brown says: “Ain’t nobody got time for that”.
So no surprise I went with Encog, and started on their video tutorials….
A couple hours later, first JUnit test understanding, training and testing a Hopfield neural network using the Encog libs.
Author David Gassner explores Java SE (Standard Edition), the language used to build mobile apps for Android devices, enterprise server applications, and more!
The course demonstrates how to install both Java and the Eclipse IDE and dives into the particulars of programming. The course also explains the fundamentals of Java, from creating simple variables, assigning values, and declaring methods to working with strings, arrays, and subclasses; reading and writing to text files; and implementing object oriented programming concepts. Exercise files are included with the course.