
Carl Sagan Explains the 4th Dimension
I remember watching this on TV when I was a kid and it blew my mind. It is hands-down the best explanation of four dimensions, curved space, and more – all done in Carl Sagan’s trademark awesomeness.
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The Applications of Non-Euclidean Distance
It may not come up in everyday dinner conversations, but non-Euclidean distances can have some interesting real world applications. Zach Star explains why.
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Quantum Mechanics Course
Geek’s Lesson provides this full nine hour source on quantum mechanics. Quantum mechanics (QM; also known as #quantum #physics, quantum theory, the wave mechanical model, or #matrixmechanics), including quantum field theory, is a fundamental theory in physics which describes nature at the smallest scales of energy levels of atoms and subatomic particles. Table of Contents […]
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Microsoft Lists and Power Automate
- Frank
- September 14, 2020
- jon levesque
- jon levesque microsoft
- Microsoft
- Microsoft 365
- microsoft 365 app
- microsoft list
- microsoft lists
- microsoft lists app
- microsoft lists first look
- microsoft lists in sharepoint
- microsoft lists in teams
- microsoft lists review
- ms build 2020
- Office 365
- power automate forms
- power automate microsoft
- power automate outlook
- power automate sharepoint list
- power automate tutorial
- productivity apps
- sharepoint list
- teamwork
- work management
Jon Levesque Tech shows us Microsoft Lists and Power Automate & how to use a list to power your flow to build an automated set of follow up emails. Content index: 00:00 – Introduction 03:03 – Looking at the scenario 03:56 – Take a look at Microsoft Lists 04:30 – New List Menu 05:40 – […]
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Machine Learning: focus on value not the Hype.
- Frank
- September 14, 2020
- AI
Very often terms such as Machine Learning, Artificial Intelligence, Deep Learning, Robotics, IoT, and Cloud are thrown around in leadership sessions as “silver bullets” or “easy buttons” that provide a competitive advantage. While there is reason for the sizzle behind the hype, it’s not what we should focus on. We should be focusing on Impact. […]
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Process Images for Fine-Tuned MobileNet with TensorFlow’s Keras API
- Frank
- September 14, 2020
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
In this deeplizard episode, learn how to prepare and process our own custom data set of sign language digits, which will be used to train our fine-tuned MobileNet model in a future episode. VIDEO SECTIONS 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources 00:40 Obtain the Data 01:30 Organize the Data 09:42 […]
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Prepare Your Cloud Environments Using Azure Landing Zones
Brian Blanchard joins Scott Hanselman to discuss Azure landing zones and how you can prepare your destination Azure environment—not only to receive migrating applications, but also to balance agility, governance, and security considerations. Related Links: Azure landing zones documentation Unlock cloud adoption with Azure landing zones video Establish cloud governance using Cloud Adoption Framework for […]
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Microsoft Reveals Findings from Its Experimental Undersea Datacenter
Earlier this summer, marine specialists reeled up a shipping container-size datacenter coated in algae, barnacles, and sea anemones from the seafloor off Scotland’s Orkney Islands. The retrieval of the Northern Isles datacenter launched the final phase of Project Natick, a years-long research effort that proved the concept of underwater datacenters is feasible as well as […]
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Stock Prediction Using Python & Machine Learning
Computer Science explains how to use Python and Machine Learning to predict stock prices.
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