Barrett, L. F. (2020, July 8). Opinion | College Courses Online Are Disappointing. Here’s How to Fix Them. The New York Times. https://www.nytimes.com/2020/07/08/opinion/college-reopening-online-classes.html

aaronpeikert. (2020). Aaronpeikert/reproducible-research [TeX]. https://github.com/aaronpeikert/reproducible-research (Original work published 2019)

Net-COVID. (n.d.). Retrieved June 10, 2020, from https://sites.google.com/umd.edu/net-covid/home

This shows our card deck, demo link https://cdeck.ltk.cards/demo

Lanovaz, M., & Turgeon, S. (2020). Tutorial: Applying Machine Learning in Behavioral Research [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/9w6a3

Deepset-ai/haystack. (2020). [Python]. deepset. https://github.com/deepset-ai/haystack (Original work published 2019)

Van den Akker, O., Weston, S. J., Campbell, L., Chopik, W. J., Damian, R. I., Davis-Kean, P., Hall, A. N., Kosie, J. E., Kruse, E. T., Olsen, J., Ritchie, S. J., Valentine, K. D., van ’t Veer, A. E., & Bakker, M. (2019). Preregistration of secondary data analysis: A template and tutorial [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/hvfmr

King, E. K., Harrell, A. R., & Richling, S. (2020, April 18). Best Practices: Caregiver Training Resources Derived from Remote Behavioral Service Delivery within the Foster Care System. https://doi.org/10.31234/osf.io/k56nq

COMBINE Network Biology at UMD. (2020 April 09). Net-COVID Session1A: Network epidemiology tutorial by Laurent Herbert-Dufresne Youtube. https://www.youtube.com/watch?v=5NGFDnJKiKA

James, E. Tutorial Home. Github.io. https://emljames.github.io/GorillaR/

Multilevel correlations: A new method for common problems. (2020 April 13). R-bloggers. https://www.r-bloggers.com/multilevel-correlations-a-new-method-for-common-problems/

Introduction & Tutorial to Network Epidemiology. (n.d.). Speaker Deck. Retrieved April 21, 2020, from https://speakerdeck.com/laurenthebert/introduction-and-tutorial-to-network-epidemiology

You can choose to be public or private.

Pretty basic. Not helpful if you're already up and running.

Worth covering in tutorial starting from here, focusing on intuition rather than algebra and calculus

Worth covering A-B in tutorial if time permits

I would like to step through this tutorial.

why are we linking here? this is not specific, which procedure

why are we linking here? this is not specific, which procedure

what are we redirecting here?

• No on-boarding section on that page.
• What does on-boarding mean to the user?

We need to describe the access to production in an important message.

why are we linking here? This is a standalone procedure?

We should describe conceptual information that relates to this step, in this step.

we must point directly to info. This should be reworded into a new important info section on access to production.

This line isn't needed. We only need to explain that you must go through this process for production only.

I want us to step through this procedure.

supersededBy: https://www.robinwieruch.de/react-hooks-fetch-data

https://www.youtube.com/watch?v=_H1abPcHFwk

Using Hypothesis with Canvas LMS

DEEP LEARNING WITH CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE RECOGNITION: STEP-BY-STEP PROCESS FROM PREPARATION TO GENERALIZATION

深度强化学习综述

all kinds of text classification models and more with deep learning

reinforcement-learning code and paper tutorials

A Tutorial on Principal Component Analysis

A Tutorial Introduction to the Lambda Calculus

Tutorial on Variational Autoencoders

A Gentle Tutorial of Recurrent Neural Network with ErrorBackpropagation

A Tutorial on Deep Latent Variable Models of Natural Language

Revisiting the tree edit distance and its backtracing: A tutorial

NIPS 2016 Tutorial: Generative Adversarial Networks

LSTM Derivations

Deep Learning for Dialogue Systems

Deep Learning for Dialogue Systems

Open-Domain Neural Dialogue Systems

Open-Domain Neural Dialogue Systems

目测是一篇很有爱的教程！

// 声明变量，默认 map 是 nil
var map_variable map[key_data_type]value_data_type

// 使用make 函数
map_variable := make(map[key_data_type]value_data_type)

numbers := []int{0,1,2,3,4,5,6,7,8}

len=2 cap=9 slice=[0 1]

len=3 cap=7 slice=[2 3 4]

s := make([]int, len, cap)

s := arr[:]

func setArray(params []int) {
    fmt.Println("params array length of setArray is : ", len(params))
}

func setArray2(params [5]int) {
    fmt.Println("params array length of setArray2 is : ", len(params))
}

a = [3][4]int {
    {0, 1, 2, 3} ,
    {4, 5, 6, 7} ,
    {8, 9, 10, 11} ,    // 此处的逗号是必须要有的
}

上面代码也可以等价于

a = [3][4]int {
    {0, 1, 2, 3} ,
    {4, 5, 6, 7} ,
    {8, 9, 10, 11}}

闭包，A函数 返回一个函数，假设返回的函数为B，那么函数B，可以使用A函数中的变量

nextNumber := getSequence()

nextNumber 是 返回函数B类型，func() int，i是函数A中的变量，初始值 i=0

执行nextNumber()，i+=1, reuturn i ==> 1

再执行nextNumber()，i+=1，return i ==> 2

再执行nextNumber()，i+=1，return i ==> 3

for key, value := range oldMap {
     newMap[key] = value
}

• 每个case都必须是一个通信
• 所有channel表达式都会被求值
• 所有被发送的表达式都会被求值
• 如果任意某个通信可以进行，它就执行；其他被忽略。
• 如果有多个case都可以运行，Select会随机公平地选出一个执行。其他不会执行。

否则：

1. 如果有default子句，则执行该语句。
2. 如果没有default字句，**select将阻塞，直到某个通信可以运行**；Go不会重新对channel或值进行求值。

package main
import "fmt"
const (
    i=1<<iota
    j=3<<iota
    k
    l
)
func main() {
    fmt.Println("i=", i)
    fmt.Println("j=", j)
    fmt.Println("k=", k)
    fmt.Println("l=", l)
}

以上实例运行结果为：

i=1
j=6
k=12
l=24

var (
    vname1 v_type1
    vname2 v_type2
)

I wonder if this contrasts with early settlers in the American colonies. and if there was some sort of historical reason why contemporary Canada is a more secular country, while the USA is still largely religious.

Java Tutorial For Beginners

Another handy tutorial that I might want to do.

Collection of official video tutorials for Hypothesis.

Video tutorial from Jun 2016 showing how to use Hypothesis to annotate a Wikipedia page.

It briefly shows groups and the stream, but using the old (pre-Nov 2016) Hypothesis website.