Caching can make your website run faster, it can improve your desktop application, and it can reduce the stress on your database.

Basically, if you figure out caching, you can dramatically improve how well your application scales. In this video, we are going to look at how to use Redis to quickly and easily cache our data. I think you will be shocked by how easy this turns out to be.

Tim Corey shows us how to get started.

Learn the basics of Data Science in the crash course created by Marco Peixeiro, where you will learn about the theory and code behind the most common algorithms used in data science.

Datasets:

Course Contents

  • ⌨️ (00:00) Introduction
  • ⌨️ (03:06) Setup
  • ⌨️ (04:29) Linear regression (theory)
  • ⌨️ (09:29) Linear regression (Python)
  • ⌨️ (20:59) Classification (theory)
  • ⌨️ (30:16) Classification (Python)
  • ⌨️ (49:30) Resampling & regularization (theory)
  • ⌨️ (56:09) Resampling and regularization (Python)
  • ⌨️ (1:05:17) Decision trees (theory)
  • ⌨️ (1:13:12) Decision trees (Python)
  • ⌨️ (1:24:50) SVM (theory)
  • ⌨️ (1:28:17) SVM (Python)
  • ⌨️ (1:58:24) Unsupervised learning (theory)
  • ⌨️ (2:06:54) Unsupervised learning (Python)
  • ⌨️ (2:20:55) Conclusion

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 Process the Data
  • 13:11 Collective Intelligence and the DEEPLIZARD HIVEMIND

deeplizard  introduces MobileNets, a class of light weight deep convolutional neural networks that are vastly smaller in size and faster in performance than many other popular models.

VIDEO SECTIONS

  • 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources
  • 00:17 Intro to MobileNets
  • 02:56 Accessing MobileNet with Keras
  • 07:25 Getting Predictions from MobileNet
  • 13:32 Collective Intelligence and the DEEPLIZARD HIVEMIND

In this video, Mandy from deeplizard  demonstrates how to use the fine-tuned VGG16 Keras model that we trained in the last episode to predict on images of cats and dogs in our test set.

Index:

  • 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources
  • 00:17 Predict with a Fine-tuned Model
  • 05:40 Plot Predictions With A Confusion Matrix
  • 05:16 Collective Intelligence and the DEEPLIZARD HIVEMIND