software stack
AI solutions are made with high performing, open sourced and widely adopted software only.
Ubuntu is a linux distribution an operating system. Linux is running on more than 70% of servers around the globe.
Python is a programming language that is used by the majority of AI developers. It is intuitive, consistent, not verbose and recommendable for newbies as well as guru’s.
There are lot’s of Python frameworks for AI development. A few popular frameworks are:
– Machine Learning; Scikit, NLTK
– Deep Learning; TensorFlow, Pytorch
Frameworks make coding more intuitive and less ‘techie’.
You can develop python code in IDE’s or in Jupyter Notebooks
Jupyter Notebooks are popular among data scientists, because code, data views, graphs and markup text are intertwined in one document. It works more as a scientific-research approach to coding.
-
- Ubuntu
-
- TensorFlow
-
- Pytorch
-
- Jupyter
-
- Scikit Learn
-
- Python
pandas
Pandas is a library for data exploration and analysis and is built upon numpy and scipy providing fast performing and easy-to-use data structures and data manipulation functions with integrated indexing.
The main data structures pandas provides are Series and DataFrames. Series are like one column of the DataFrame, vice versa a DataFrame consists of multiple Series. A Series can also be a row from a DataFrame!
Topics:
- > Descriptive statistics
- > Data cleaning
- > Frequent data operations: subsetting, filtering, insertion, deletion and aggregation of data
- > Merging multiple datasets
- > Working with timestamps and time-series data
more notebooks
More exiting notebooks soon
todo
Topics:
- > todo
- > more todo