check for typos

[noramcgregor]

No description provided.

[CatitoPotato]

Intro:

• comma after "participate in"? Depends if we are using Oxford commas (these have been used elsewhere)
• second bullet point, suggested rewrite: "Describe innovative uses of AI in the cultural heritage context today" (rewritten for clarity)
• fifth bullet point, suggested rewrite: "Reflect on the ethical implications of applying machine learning to cultural heritage collections and discuss potential mitigation strategies" (missing definite article for "ethical implications")

[CatitoPotato]

Episode 1:

#Who is this lesson for?

• para 1, sentence 2: "These technologies offer many potential benefits to the cultural sector but also raise challenges and difficult questions" (correct "raises" to "raise")
• para 2, sentence 1: "Our aim with this lesson is to empower GLAM staff to support and participate in machine learning-based research and projects with heritage collections. We also aim to give GLAM staff the foundation to undertake research and projects on machine learning in their own right." (break up into two sentences for clarity, correct "machine learning based" to "machine learning-based")

#What will we be covering in this lesson?

• second bullet point, suggested rewrite: "Describe innovative uses of AI in the cultural heritage context today" (rewritten for clarity)
• fourth bullet point, suggested rewrite: "Reflect on the ethical implications of applying machine learning to cultural heritage collections and discuss potential mitigation strategies" (missing definite article for "ethical implications")

#What will we not be covering in this lesson?

• missing Oxford comma after "statistics", missing full stop after "maths"

##Key Points

• third bullet point: missing Oxford comma after "statistics"

[CatitoPotato]

Episode 2:

Metadata:
Objectives

• bullet point 1, suggested rewrite: "Understand Machine Learning as a subfield of AI and name two other subfields" (clarity)
• bullet point 2, suggested rewrite: "Name four types of machine learning and describe the difference between supervised and unsupervised learning" (change incorrect "and" to "of")
• bullet point 3, suggested rewrite: "Describe the difference between a model of data and a model trained on data" (remove comma after "data")

#Artificial Intelligence and Machine Learning

• para 1, sentence 1, suggested rewrite: "Artificial Intelligence has existed as a field of study since the 1950s (Dartmouth Conference, 1956)." (clarity)
• para 1, sentence 2, suggested rewrite: "This broad topic encompasses a number of subfields including but not limited to: Logic, Probability, Knowledge Representation, and Machine Learning." (clarity, remove hyphen from "subfield")

#From logic to learning (should this be "From Logic to learning"?)

• para 1, bullet point 1, suggested rewrite: "It is raining, therefore I will carry an umbrella." (only bold "is", comma after "raining", full stop before closing quote marks)
• para 2, sentence 1, suggested rewrite: "Logical rules are based on things being True or False, but the world is not so clear cut." (missing comma before "but" - separating two independent clauses so comma needed)
• para 2, bullet point 1, suggested rewrite: "'It might rain today. Should I take an umbrella?" (break into two sentences, remove full stop after closing quote marks)
• para 3, bullet point 1: remove full stop after closing quote marks
• para 5, sentence 1, suggested rewrite: "Describing something as intuitively simple as an umbrella is difficult. Although we have a rough conceptual idea, there isn't a fixed physical description." (break into two sentences for clarity, missing comma after "idea")
• para 5, sentence 2: missing comma after "parts", switch hyphen for colon.

#What is Machine learning (should "learning" be capitalised here?)

• para 1, sentence 2, suggested rewrite: "Machine Learning offers systems that find rules, learn, and make predictions from data, without being explicitly programmed to do so." (rewrite for clarity, added comma after "data", and correct misspelling of "explicitly")

#Activity: each bullet point here should either end with a full stop or not (consistency

• para 2, sentence 1: remove comma after "machine learning" (or break this sentence into two sentences)
• para 2, bullet point 1: suggest breaking into two sentences for clarity
• para 2, bullet point 2: add "the system is" before "given"
• para 2, bullet point 3: add "the system is" before "learns"

#Note

• para 1, suggested rewrite: "Predicting a numerical value is known as Regression. Francis Galton coined the term Regression in the 19th century to describe a biological phenomenon: over generations, the heights of descendants of tall ancestors tend to fall towards a normal average. This phenomenon is also known as regression toward the mean (Regression Analysis)."

• para 3, sentence 1: remove comma after "like"

• para 3, sentence 2: add comma after "month"

• para 3, sentence 4, suggested rewrite: "There are two categories (Yes or No), so this is a binary classification task." (clarity)

#Supervised vs unsupervised learning

• para 1, sentence 2: add comma after "scenario", change "which" to "that"
• para 2 (after table), sentence 3, suggested rewrite: "The target is usually the number of groups wanted. The algorithm will place data points into each group in order to maximize the similarity of group members." (break into two sentences, change "maximum" to "maximize")
• para 5 (after activity), sentence 2: add comma after "data"
• para 5, sentence 5: add comma after "advance"

[CatitoPotato]

Episode 3

Metadata:
Questions

• bullet point 2: should "machine learning model" have a hyphen between "machine" and "learning"?

Objectives

• bullet point 1: remove comma after "model"
• bullet point 2: remove comma after "data"

#Models and Algorithms

• para 1, sentence 1: change "and it" to "which", add comma after "newcomer"
• para 1, sentence 2: remove comma after "model"

##Modelling the world

• para 1, sentence 1: add "or" after "classification,"
• para 2, sentence 2: change "helps us make the umbrella decision" to "helps us decide whether to bring an umbrella when we leave." ("the umbrella decision" might be confusing?)
• para 2, sentence 3: change hyphen to either en-dash or colon
• para 2, sentence 6: add comma after "problem"
• para 2, sentence 7: add comma after "model"
• para 2, sentence 8: change "It" to "The conceptual model" (clarity)
• para 3, sentence 3: change "was" to "were" (data as plural?)
• para 4, sentence 1: add comma after "time"
• para 4, sentence 3 (after quotation), suggested rewrite: "In machine learning we have lots of models to choose from. Choosing a model depends on the type of - data, the amount of data, the purpose, and a certain amount of pragmatism." (break into two sentences)

(throughout para 5, replace "tweet" with "social media post" to futureproof?)

• para 5, bullet point 1, suggested rewrite: "We want to predict online shop visitors based on the number of social media marketing posts about the shop sent out in a month." (add full stop, update "tweets")

• para 5, bullet point 1.1, sentence 2, suggested rewrite: "The first parameter is the expected number of visitors when there are no social media posts made." (add "number of" before "visitors", update "tweets")

• para 5, bullet point 1.1, sentence 3, suggested rewrite: "The second is the slope: how much the number of visitors increases (or decreases) with each social media post." (replace hyphen with colon, correct "how much visitors", update "tweet")

• para 5, bullet point 1.2, sentence 1 suggested rewrite: "The conceptual model is a linear model. With a few past examples of visitor numbers and social media posts, we can use the least squares algorithm to find the parameters which best predict the effect of increased posts" (break into two sentences, replace "tweets" with "posts")

• para 5, bullet point 1.2, sentence 2, suggested rewrite: "The trained model consists of the two parameters and a formula using them to convert social media posts into visitors" (update "tweets")

• para 5, bullet point 1.3, sentence 2: change "tweets" to "social media posts"

• para 5, bullet point 1.3, sentence 3: add "meaning" after comma

• para 5, bullet point 1.3, sentence 5: change "tweets" to "social media posts", add comma after "training data"

• para 5, bullet point 1.4: add comma after "available"

• para 6, sentence 2: change comma to semicolon (alternatively, change the full stop at the end of sentence 1 to a colon)

• para 6, sentence 3: add comma before "but"

• para 6, sentence 6: remove comma after "used", add comma after "tender)"

• para 7: (bullet point 1 should be 2!)

• para 7, bullet point 1: add full stop to end of sentence.

• para 7, bullet point 1.1, sentence 4: add comma after "descent"

• para 7, bullet point 1.1, sentence 5, suggested rewrite: "The algorithm finds the parameter values that best map input to output, with "best" meaning the ones that make the fewest mistakes." (clarity, correct "which" to "that", "best" in quotation marks)

• para 7, bullet point 1.2, sentence 2: remove comma after "data"

##Explainable AI

• para 1, sentence 2: remove comma after "scenario"
• para 1, sentence 3: replace "send a tweet" with "post a social media post"
• para 1, sentence 6, suggested rewrite: "This is known as Explainable AI, which is a big topic in the fields of AI and Human Computer Interaction."
• para 1, sentence 8: replace "can not" with "cannot"

#Getting the best out of the data

• para 1, sentence 1: replace "a lot" with "much" (clarity)
• para 1, sentence 2: change "19 year olds" to "19-year-olds" (add hyphens)
• para 1, sentence 3: change "Machine learning algorithms" to "Machine-learning algorithms" (add hyphen), add comma after "inputs", change "influence in" to "influence on" (correct preposition)

##Feature engineering

• para 1, sentence 1: add comma after "learning"
• para 2, sentence 4: add a comma after "computer"
• para 3, sentence 1: add comma after "museum", remove comma after "indicator"

##Embeddings

• para 1, sentence 1: change "Machine Learning algorithms" to "Machine-learning algorithms"
• para 1, sentence 3, suggested rewrite: "One option is to have each word as a feature, but then our model can only use words appearing in the training data." (add missing "to")
• para 1, sentence 4, suggested rewrite: "We also lose the semantic nature of words. For example, the words "car" and "automobile" are treated as independent features." (break into two sentences, quotation marks for clarity)
• para 2, sentence 2: remove comma before "and"
• para 2, sentence 3: remove comma before "and"
• para 2, sentence 4, add comma after "Now" and add comma after "numerically"

[Naumann-Kai]

Would you want to put abbreviations in capitals? Then change ml into ML like here https://carpentries-incubator.github.io/machine-learning-librarians-archivists/06-applying-machine-learning/index.html#use-cases-for-machine-learning-in-your-organization.