+ 7
Which programming language is used for machine learning?
13 Respuestas
+ 12
Python 👍
+ 9
Python is industry standard. You can apply the algorithms in different languages such as JavaScript too, but it's easier if you and your community of learners are on the same page. Thats why Python is recommended.
+ 5
Thank you!
+ 5
I think python is the best way because there are more API than any other language
+ 4
python
or css
+ 4
Machine Learning Languages
I think of programming languages in the context of the machine learning activities I want to perform.
MATLAB/Octave:
I think MATLAB is excellent for representing and working with matrices. As such, I think it’s an excellent language or platform to use when climbing into the linear algebra of a given method. I think it’s suited to learning about algorithms both superficially the first time around and deeply when you are trying to figure something out or go deep into the method. For example, it’s popular in university courses for beginners, like Andrew Ng’s Coursera Machine Learning course.
R:
R is a workhorse for statistical analysis and by extension machine learning. Much talk is given to the learning curve, I didn’t really see the problem. It is the platform to use to understand and explore your data using statistical methods and graphs. It has an enormous number of machine learning algorithms, and advanced implementations too written by the developers of the algorithm.
I think you can explore, model and prototype with R. I think it suits one-off projects with an artifact like a set of predictions, report or research paper. For example, it is the most popular platform for machine learning competitors such as Kaggle.
Python:
Python if a popular scientific language and a rising star for machine learning. I’d be surprised if it can take the data analysis mantle from R, but matrix handling in NumPy may challenge MATLAB and communication tools like IPython are very attractive and a step into the future of reproducibility.
I think the SciPy stack for machine learning and data analysis can be used for one-off projects (like papers), and frameworks like scikit-learn are mature enough to be used in production systems.
Also Read:https://crbtech.in/Java-Training/java-developer-must-know-these-10-programming-skills/
+ 4
python is bae
+ 3
You can learn these programming languages for machine language!!
and these languages are widely used for it
1. Python
2. Java
3. R
4. C++
5. C
6. JavaScript
7. Scala
8. Julia
+ 3
Python
R for Statistics
+ 3
python or R would be easier for you...
+ 2
Ill throw in a plug for r. I use python for data generation but find r to be easier for visualization and statistical analyses. but if you only want to learn one I agree go python.
0
Python with tensorflow or sklearn