Data is one of the world's most important currencies.
If you're a data scientist or software developer,
you face a deluge of data from many sources.
And more and more, you'll need to analyze
this data in near real time to leverage machine
learning, a form of artificial intelligence.
Make your code work harder and move
from data to actionable results and insights faster with Intel
Data analytics Acceleration Library,
or Intel DAAL for short, and Intel distribution for Python.
These tools are, highly optimized
for Intel architecture, make it easy to achieve high performing
machine learning and data analytics code.
Intel DAAL includes fast off the shelf algorithms for many
tasks, and you have your choice of language APIs, Python,
C++ or Java.
Intel DAAL also processes large datasets
that won't fit into memory.
Data congestion and computation can execute in parallel
to maximize throughput and deliver results sooner.
Intel DAAL can also distribute computations
across multiple machines on a network
so larger problems can be tackled compared
to a single compute node.
The power and performance of Intel DAAL
are also part of the Intel distribution for Python,
which delivers super fast accelerated Python application
performance right out of the box.
Intel distribution for Python is built from open source Python
so any existing code runs without changes.
It just runs faster.
To achieve near native code performance, widely used
packages NumPy, SciPy, and scikit-learn
are accelerated under the hood with the highly tuned Intel
DAAL and Intel Mac Kernel Library.
These libraries are written in C and assembly language.
They're threaded and vectorized to take
full advantage of all Intel processor families,
often delivering between one to two orders
of magnitude improvement over interpreted open source Python.
And Intel DAAL and Intel distribution for Python
are both entirely free.
Deliver screaming fast machine learning.
Start using Intel DAAL and Intel Python distribution today.