If you want more information than is covered in this thread, check out this article I wrote on @hashnode
edemgold.blog/why-python-is-…
edemgold.blog/why-python-is-…
🚀R
R was created by statisticians to meet their needs. This language can give you in-depth statistical analysis whether you’re handling data from an IoT device or analyzing financial models.
R was created by statisticians to meet their needs. This language can give you in-depth statistical analysis whether you’re handling data from an IoT device or analyzing financial models.
R is generally applied when you need to analyze and manipulate data for statistical purposes. R has packages such as Gmodelsthat are commonly used for building ML projects. These packages allow developers to implement ML algorithms without the extra hassle.
🚀Scala
Scala is invaluable when it comes to big data. It offers data scientists an array of tools such as Saddle, Scalalab, and Breeze. Scala has great concurrency support, which helps with processing large amounts of data...
Scala is invaluable when it comes to big data. It offers data scientists an array of tools such as Saddle, Scalalab, and Breeze. Scala has great concurrency support, which helps with processing large amounts of data...
...Since Scala runs on the JVM, it goes beyond all limits hand in hand with Hadoop, an open-source distributed processing framework that manages data processing and storage for big data applications running in clustered systems.
🚀Julia
If you need to build a solution for high-performance computing and analysis, you might want to consider Julia. Julia has a similar syntax to Python and was designed to handle numerical computing tasks....
If you need to build a solution for high-performance computing and analysis, you might want to consider Julia. Julia has a similar syntax to Python and was designed to handle numerical computing tasks....
... Julia provides support for deep learning via the TensorFlow.jl wrapper and the Mocha framework.
🚀Java
Java is widespread when it comes to natural language processing, search algorithms, and neural networks. It allows you to quickly build large-scale systems with excellent performance.
Java is object-oriented, portable, maintainable, and transparent...
Java is widespread when it comes to natural language processing, search algorithms, and neural networks. It allows you to quickly build large-scale systems with excellent performance.
Java is object-oriented, portable, maintainable, and transparent...
...It’s supported by numerous libraries such as WEKA and Rapidminer. But if you want to perform statistical modeling and visualization, then Java is the last language you want to use. Java's Packages for statistical modelling aren't sufficient.
🚀Welcome to the end. follow me @EdemGold1 I post threads on AI and other technology.
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