The Story of IBM Watson Winning in Jeopardy with David Ferrucci
Lex Fridman has a conversation with David Ferrucci. David Ferrucci led the team that built Watson, the IBM question-answering system that beat the top humans in the world at the game of Jeopardy. He is also the Founder, CEO, and Chief Scientist of Elemental Cognition, a company working engineer AI systems that understand the world […]
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Introduction To DevOps Tools & Stages – DevOps For Beginners
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Frank
- October 14, 2019
- ansible
- chef
- DevOps
- devops class 1
- devops edureka
- devops edureka training
- devops for beginners
- devops lifecycle
- devops live
- devops stages
- devops tools
- devops tools for beginners
- devops training
- devops tutorial
- devops tutorial for beginners
- devops webinar
- Docker
- edureka
- git & github
- jenkins
- nagios
- puppet
As AI and Machine Learning become more crucial to the enterprise, systems and processes need to be put in place to manage the output of data science teams: the machine learning models. This is a field commonly referred to as MLOps and, not surprisingly, is based hon DevOps. edureka! explores the basics of DevOps in […]
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Happy 24th Birthday, Frank’s World!
On October 13, 1995, I uploaded a few HTML, GIF, and JPG files up to the 1.4 MB space onto a web server my ISP gave me for free. This bundle of files was the very first incarnation of Frank’s World. Originally, it was an online version of the Weekly World News. Looking at the […]
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How to use C# in a Jupyter Notebook
Jon Wood shows us how to install the C# Jupyter Kernel and then uses it to build a ML.NET AutoML experiment with the DataFrame package. Installation instructions – https://github.com/dotnet/try/issues/408#issue-487051763 Notebook – https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/Notebooks/Dataframe%20with%20AutoML.ipynb Sample Notebook from Microsoft – https://github.com/dotnet/try/blob/master/NotebookExamples/csharp/Samples/HousingML.ipynb
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How to Write Cutting Edge CNNs in Pytorch
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Frank
- October 14, 2019
- alexnet
- convolutional neural network python
- convolutional neural network pytorch
- convolutional neural network tutorial
- image classification algorithm
- image classification python
- image classification pytorch
- image classification tutorial
- inceptionnet
- MNIST
- mnist example python
- mnist example pytorch
- pytorch tutorial
- resnet
Machine Learning with Phil explores how to write modular convolutional neural networks in Pytorch. This will make our code more maintainable, more extensible, and more professional looking.
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