Yale's Dr. Laurie Santos on Well-Being During COVID-19

Yale's Dr. Laurie Santos on Well-Being During COVID-19

We’re living in an unprecedented time as COVID-19 impacts lives everywhere. As we navigate and adjust, how can we manage the many emotions we’re feeling?

Get expert insights from Dr. Laurie Santos, a Yale psychology professor, on how we can all prioritize our mental well-being during this challenging time, including:

  • Reducing tension in a relationship while sheltering in place (1:11)
  • Consuming news without increasing anxiety (3:24)
  • Supporting healthcare workers and helping them prioritize self-care (5:19)
  • Remaining positive when living alone (8:51)
  • Staying focused and productive at work (10:36)
  • Finding your next career or job if you’ve been laid off (12:47)
  • Helping children who are struggling without their usual routine or friends (15:00)
  • Creating positive experiences while in lockdown (18:26)
  • Sleeping better, despite increased anxiety and stress (20:48)
  • Coping if loved ones test positive for COVID-19 (23:57)
  • Spreading kindness or making social connections while isolated (26:32)

expert network neural networks

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Neural network: what is a neural network?

Neural networks, as their name implies, are computer algorithms modeled after networks of neurons in the human brain. Learn more about neural networks from Algorithmia.

A Comparative Analysis of Recurrent Neural Networks

Recurrent neural networks, also known as RNNs, are a class of neural networks that allow previous outputs to be used as inputs while having hidden states.

Recurrent Neural Networks for Multilabel Text Classification Tasks

The purpose of this project is to build and evaluate Recurrent Neural Networks(RNNs) for sentence-level classification tasks. Let's understand about recurrent neural networks for multilabel text classification tasks.

Neural Network on Beer Dataset

Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains.

Convolutional Neural Network: How is it different from the other networks?

Convolutional Neural Network: How is it different from the other networks? What’s so unique about CNNs and what does convolution really do? This is a math-free introduction to the wonders of CNNs.