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.