Harness open-source innovation with Anaconda to build custom models and applications that make your organization stand out from the rest. From neural networks to robotics, the sky’s the limit.
With Anaconda’s platform, you can build and deploy deep learning models that use neural networks. Anaconda easily integrates with tools like TensorFlow and Keras so you can build and train neural network models, including convolutional neural networks (CNNs) and generative adversarial networks (GANs).
Scale your machine learning pipeline computations horizontally and vertically on GPUs. Easily store and process data beyond the RAM of a single machine and reduce model training time by as much as 100x. Parallelize algorithms and speed up iteration cycles during the development phase.
In the past, only companies with big budgets could afford the proprietary software needed to leverage predictive analytics for enterprise decision-making. With Anaconda and open-source data science, more businesses have started taking a proactive approach to addressing problems in all areas of the company. Whether it’s predicting customer churn, consumer demand levels, stock prices, maintenance needs, or outage probabilities, we can help you get on your way to operating proactively.
The Python ecosystem of data visualization tools is vast. With Anaconda, your data science team can find the right visualization tool for any data set, from manufacturing output to seismic activity. They will have the power to build and deploy beautiful dashboards and get them into the hands of decision makers quickly with our one-click deployment technology.
With Anaconda, you can leverage Python’s ecosystem of burgeoning open-source tools for mitigating bias in models and in data sets, such as FairLearn and AIF360. Model explainability is essential for running an ethical AI program. Python tools you can use with Anaconda include LIME and InterpretML. These tools help you explain the decisions of black box models as well as create “glassbox” models that are developed to be explainable from the start.
View these valuable industry use cases for more information on how data science can transform your business.