In Part I of this blog series, I described machine learning’s history as well as its current prevailing ideas. My introduction was purposely general because my objective was to cement in the reader’s mind exactly what machine learning is, and is not.
Here in Part II, I dig in a bit deeper and differentiate between the various categories of machine learning.
Toon Pool. Computer Self Programming
Not long ago, Hadoop’s technology was supposed to solve all the world’s complex data problems.
“From the time it went open source in 2007, Hadoop and its related technologies have been profound drivers of the growth of data science.”
While Hadoop continues to solve some thorny data problems, pundits are now asking “Is Hadoop dead?” It’s a sad state of affairs when most organizations have yet to fully understand and take advantage of Hadoop but it is already seen as obsolete – things are moving awfully fast!