Title: Why do we use Python and machine learning & AI?
1Why do we use Python and machine learning AI?
2Why do you use python for Machine Learning
Artificial Intelligence?
- Python is most popular programming language by
developers an entire host of module or program
but it build specific good fit for program using
machine learning and artificial intelligence.
- Python easy syntax structure that it is also
quick development than many coding language and
provides the developer to fast test algorithms,
quick access and easy to implement.
3Easy to Implement
- Python provide simple and portable code. While
complicate solutions and various framework stand
behind machine learning and AI, Python
accessibility provides developers to writer
simple code with easy to implement.
4Huge libraries and frameworks
- Machine learning and Artificial Intelligence are
mostly based upon on calculation and statistical
data represent. Especially, calculate counting,
statistics and predictions. Python libraries
analyst/ mathematicians who are less familiar
with programmer aware to simply do machine
learning and Artificial Intelligence.
NumPy
SciPy
IPython
pandas
Tornado
5Platform Independent
- Python code are also platform independent because
once you write a code, it can run on any platform
without rewriting once again. - Python pass any code to machine understood code.
6Market Trend
Image Credit - stackoverflow.blog
- Python is the quickest boosting programming
language in the world, as it growing becomes used
in huge range of developers job aspect with data
science positions across IT software industries.
Python
JavaScript
Java
C
PHP
C
7Open Source Support
- Python is an open source programming language, it
supported by a number of reference and standard
report and documentation. - It huge network of python developers preparing to
allow and help through all stages of development
process.
8Python Libraries
Python Libraries for AI
Python Libraries for ML
AIMA
MDP-Toolkit
pyDatalog
EasyAI
PyML
SimpleAI
9Python AI Based Architecture
Get Data
Boost-up
Developing Model
Clear Data
Data Analysis
10Easy Data Visualizations
- Data visualization is a big area of a data
scientist jobs. In the previous steps of a
program, it helps creating data cleaner and
easier to understand, especially with high volume
dimensional database. - Python Matplotlib is a useful library whenever
create your data visualize with simple way.
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