Every asset has a life cycle and thus requires frequent maintenance. However, we may not want to spend resources too soon as that is a waste and we cannot be too late as it is risky. Thus, "when" to repair is an important problem. Predictive maintenance is a way to predict or forecast the probability of breakdown of a fixed asset. Predictive maintenance is important for all kinds of businesses, from a large company predicting the breakdown of motors to a small businesses predicting the breakdown of printers.

Neural Networks have taken the world of machine learning and predictive modelling in the last 5 years. Neural network have the ability to learn complex relationships in data and have been shown to work for a variety of applications from finance to robotics. Inspired by the human brain, Neural Networks work on the principle of signal transmission from one neuron to the other. Neural networks comprise of mainly three types of node layers -- an input layer, one or more hidden layers, and an output layer. Each node is an artificial neuron which connects to another using a nonlinear function and has an associated weight and threshold.

This article installs the drivers and programs that are needed to use NVIDIA GPUs to train models and run batch inferences. It downloads, unzips, and moves the CuDNN and TensorRT files into the CUDA directory. It also configures, builds, and runs the BlackScholes sample to test the GPU. This section joins the NVIDIA Developer Program and downloads the CuDNN library and unzips and moves the files into the CUDA directory. This section downloads the TensorRT library and unzips and moves the files into the CUDA directory and installs several required python programs. This section configures, builds, and runs the BlackScholes sample.

First, you want to install NLTK using pip (or conda). The command for this is pretty straightforward for both Mac and Windows: pip install nltk . If this does not work, try taking a look at this page from the documentation. Note, you must have at least version -- 3.5 of Python for NLTK. To check if NLTK is installed properly, just type import nltk in your IDE. If it runs without any error, congrats!

First, you want to install NLTK using pip (or conda). The command for this is pretty straightforward for both Mac and Windows: pip install nltkIf this does not work, try taking a look at this page from the documentation. Note, you must have at least version -- 3.5 of Python for NLTK. To check if NLTK is installed properly, just type import nltk in your IDE. If it runs without any error, congrats! But hold'up, there's still a bunch of stuff to download and install.

The Google Assistant feature was finally rolled out to Android Nougat and Android Marshmallow devices on Thursday. But to get the feature on your device, you will need the updated version of Google Play Services, which wasn't available on the Google Play app store at the time of writing. If you haven't received the update on your device, or for some reason, can't seem to get the feature on your device, there is another way out. Users who haven't received the feature but still want to access it will need to download the APK version of the update and install. Note: International Business Times cannot be held responsible if anything goes wrong.

Apple's tvOS 10 is officially out. With the release of the new Apple TV operating system, users can enjoy new features and improved implementations that will make TV viewing more seamless and enjoyable. Designed for the fourth-generation Apple TV, tvOS 10 was released on Tuesday along with iOS 10 and watchOS 3. And according to MacRumors, the latest Apple TV OS update comes with expanded Siri capabilities that can now enable users to search for content by topic with the help of Apple's virtual assistant. The new tvOS 10 also comes with Live Tune-In that allows users to command Siri to launch a supported app's live channel.

The Weka machine learning workbench is a powerful and yet easy to use platform for predictive modeling. In this post you will discover how you can install Weka on your workstation fast, and get started with machine learning. How to Download and Install the Weka Machine Learning Workbench Photo by Nicholas A. Tonelli, some rights reserved. All versions of Weka can be downloaded from the Weka download webpage. Select the version of Weka that you would like to install then visit the Weka download page to locate and download your preferred version of Weka.

The Weka machine learning workbench is a powerful and yet easy to use platform for predictive modeling. In this post you will discover how you can install Weka on your workstation fast, and get started with machine learning. How to Download and Install the Weka Machine Learning Workbench Photo by Nicholas A. Tonelli, some rights reserved. All versions of Weka can be downloaded from the Weka download webpage. Select the version of Weka that you would like to install then visit the Weka download page to locate and download your preferred version of Weka.