#data gap
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itellmyselfsecrets · 2 years ago
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“Women have always worked. They have worked unpaid, underpaid, underappreciated, and invisibly, but they have always worked. But the modern workplace does not work for women. From its location, to its hours, to its regulatory standards, it has been designed around the lives of men and it is no longer fit for purpose. The world of work needs a wholesale redesign - of its regulations, of its equipment, of its culture - and this redesign must be led by data on female bodies and female lives. We have to start recognising that the work women do is not an added extra, a bonus that we could do without: women's work, paid and unpaid, is the backbone of our society and our economy. It's about time we started valuing it.” - Caroline Criado Perez (Invisible Women: Data Bias in a World Designed for Men)
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hhmglobal · 30 days ago
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AI bridges the mental health data gap using NLP & unstructured data—featured in healthcare industry publications & hospital & healthcare journals.
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nyaa · 8 months ago
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北へ。/ Kita e. White Illumination (1999) Sega Dreamcast
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myriad-of-things · 7 months ago
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behold! the yugioh duel monsters english dub crimes and kill count list, up to episode 78 because that's where dice and I are in the show. I've set the sheet up so that all stats will increment automatically as I add more episodes
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some fun facts:
Yami Bakura and Marik are currently tied for most crimes! But Yami Bakura tries to kill people more often (he's made 14 attempts, 6 of which were successful). Marik hasn't successfully killed anyone yet
The Pharaoh has the highest murder success rate (75%!) this number will go up once we watch s0
Joey is the show's punching bag (we already knew this) with 0 crimes committed to 11 crimes committed against him
Kaiba has the most crimes committed against his person (12), the majority of which are murder attempts (6). he also holds the record for the most attempts on his life
despite being a side character that doesn't actively duel, Téa has an alarming lot of crimes committed against her
the most popular crime is attempted murder! followed by actual murder! then it's kidnapping and mind control (shoutout for Marik for single-handedly carrying that stat)
disclaimer: it's a bit hard to separate crimes against Yugi from crimes against the Pharaoh. one could argue most of the crimes committed against Yugi were actually meant for the Pharaoh. it's also hard to gauge how many times people have tried to kill the Pharaoh, because every duel against him could be counted as attempted murder. as such, I'm counting attempted murder as actual, outside of card game murder. hence why Yugi has more attempts against him than the Pharaoh
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luxraydyne · 9 months ago
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idk it's such a very small thing but "maybe you killed her with renju." "don't be ridiculous!" is very cool very epic i think. credit to both voice actors bc i believe that, their whole past and future entanglements aside, hitomi just fucking despised date for a second there to be honest
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chaoticlandworlder · 1 year ago
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It's on sight @ those who say Max only won because of the safety car (yet didn't say shit about Miami).
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thewickerking · 1 year ago
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i imagine if the answer is yes, its probably been more than one dream, but choose the longest option out of ur experiences with this! :)
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charles-leclerc-official · 2 days ago
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hello luci, what account do you refer to when it comes to accurate race pace deltas, i've always thought they are very tricky to get right considering the number of factors that go into it...
on the same subject i thought this discourse was exclusively on twitter but it's common elsewhere as well, i don't know why people use the 0.1 tenth gap charles pulls on carlos as evidence of him not being that fast a driver compared to others who have pulled bigger gaps to their teammates, as if it discredits him maximizing the cars he has driven to the absolute limit. one can say carlos did a good job without discrediting charles. have they never considered the possibility that charles didn't pull a bigger gap simply because the car never permitted him to?
i feel like this is one of those situations where it's so easy to mislead with numbers and stats because anyone who has watched f1 over an extended period of time knows that charles is comfortably better even if the gap is "just" a tenth
With regards to the comparison between Charles and Carlos I'd need more specifics because I don't know the exact discourse that's going on surrounding that. If I know the context it would help if we are looking at a specific weekend or a year or their whole tenure as teammates. Although I don't really care since I think that the final results speak for themselves, and there is more to being a good driver than the gap to teammate. I think Charles' results overall make a compelling case.
Deltas are tricky because I feel like a lot of the time people are talking about different things when saying this. Are we talking over a single lap? Over a race? Did someone take out the laps that should be excluded to get a more accurate picture of pace etc. Which I found often lead to a lot of arguing on twitter because everyone was talking about something different.
I look at the raw data either from live timings or on F1 tempo and go from there based on what I want to know. I only look at pace when I think it's a relevant comparison to make. Sometimes the pace is not the main story of a split between two drivers. Really depends on the specifics.
And yes ultimately you are right. It is really hard to do an accurate statistical analysis of race pace deltas. Because pace is only one story in a race and between teammates. Obviously if one guy is battling for a position his pace won't look as good as his teammate who had clean air most of the race on paper, but it doesn't really make him worse, if that makes sense.
Delta comparison is helpful but it should not be treated as the end all when it comes to determining these sorts of things. There are some races where pace deltas just cannot be compared because drivers were on completely different tyre strats etc (Suzuka '24 good example for Ferrari)
The gap could be whatever but at the end of the day if one guy won/outqualified/finished higher more than the other consistently over the course of years that's far more informative*
I find when people really want to harp on specific stats in these driver vs driver arguments they usually just attach to the one that best supports their argument and ignore everything else. So I don't really think it's worth engaging if that's your concern.
*of course then you have to take special circumstances beyond a driver's control into account, not their fault if the car engine just dies on them etc. But I have corrected for this specifically with Charles vs Carlos h2h before and it pretty much remains unchanged with overall results. They both had roughly the same number of dnfs etc that were not their faults.
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joelletwo · 10 months ago
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[stumbling out of the tf fic giggling helplessly] wahahahahahah i loveeeeeeee. i love writing. i love writing. its so magical.
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2-faded-memory-2 · 3 months ago
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i have 80s/90s nostalgia baits mostly because most that shit applies to me the 2000s baby i am. like. i know its a meme or at least was that people would be like 'only 90s kids remember breathing with their lungs and breathing in air LMAO'. but i keep seeing things thats like. those weird rubber bracelets that had a shape when youre not wearing them, or slap bracelts (lotta bracelets dont even ask) or like. tendencies teachers have?? or scholastic book fairs??? and most stuff that i dont have vivid memories of or even special '80s/90s' trinkets its like something that just needs to be translated a bit to adapt for the times. like people will be like omg remember high school when you werent cool unless you wore skinny jeans. girl just say wide leg and literally its the same. its almost like old habits, fashion trends, and human fucking nature die hard, along with successful marketing (if it sold in 80s and 90s itll sell in 2020s), the generational gap is just some bullshit line drawn up like has been done a billion different ways to a billion different people
#this is before you factor in the fact that like#if you were poor and couldnt afford to be buying trends as soon as they were coming out you were lagging behind by weeks or months or years#for stuff to go on sale or for prices to drop or to by it second hand#or if you grew up abroad distant from your home country and its niche trends#especially as a kid#liek you know when you dont really have social media to keep up with it and you go along with whatever your parents from 20 years back say#and you follow their nostalgia which brings you to the loop of 'its not exclusive to that decade'#legit even if it isnt the most broad things in human exsistance its like actual nostalgia bait#chances are the modern teen is gonna get it#we arent stupid we just got bigger screens and more data okay#not to mention for every kid like me whos kinda aware of the 80s and 90s and has a vague recollection of things in my childhood that#are direct parallels to what yall grew up with#theres a kid w old ass parents who was raised to bridge the generational gap between then and their parents#and theres kids who are obsessed with old tech or culture#point is were built around the 80s and 90s so your nostalgia bait isnt as exclusive as you think it is#teenagers always have similar trains of thoughts and experiences#its totally different when youre an adult because theres so many little paths you can go down#but all i can chose is my elective#and even then im being smothered by how many credits and shit i need#i can maybe decide what im wearing to school and get made fun of for it#im begging you to understand that teenagers now are the same as teenagers then and same goes for kids#life doesnt change that much only the media of which we see and inact it changes#my parents did so much drinking and drugs in their schools and so did their peers#and in my school if you go up to a kid 2/3 chance that theyre either recovering or carrying
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snugspheal · 7 months ago
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I just saw that its been 9 years since Heaven Sent (my beloved, happy birthday!). Which is just, wow. That still feels so much like last series to me
And then I thought, wow series 9 was 9 years ago! It's crazy that we've only just done series 14 when you think like that. 9 years to get 5 more series
In those 9 years (from&including Heaven, to be generous), we've had 48 standard episodes and 12 specials. That's 6.67 episodes per year (which is somehow less than 2021 gave us with Flux)
9 years ago and prior, we would fairly consistently* (2012/s7 im looking at you) get 13-14 eps a year. Its crazy to think how much these gap years and episode count drops have really impacted just how much Who has been put on tellie
Anyway here's to hopefully more consistent output in the 9 years to come! 😅
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categorysixkaiju · 1 year ago
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An update to the famous HOG map
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wishvaish · 1 year ago
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Who will you pair Sirius with:-
TW - People who are grossed out by age gap can kindly scroll down.
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education43 · 9 months ago
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What Are the Qualifications for a Data Scientist?
In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.
The Key Qualifications for a Data Scientist
To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:
1. Educational Background
A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.
2. Proficiency in Programming Languages
Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.
3. Understanding of Machine Learning
Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.
4. Data Wrangling Skills
Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.
5. Statistical Knowledge
Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.
6. Communication and Data Visualization Skills
Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.
7. Domain Knowledge
Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.
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Explore DataCouncil’s offerings today and take the first step toward unlocking a rewarding career in data science! Looking for the best data science course in Pune? DataCouncil offers comprehensive data science classes in Pune, designed to equip you with the skills to excel in this booming field. Our data science course in Pune covers everything from data analysis to machine learning, with competitive data science course fees in Pune. We provide job-oriented programs, making us the best institute for data science in Pune with placement support. Explore online data science training in Pune and take your career to new heights!
#In today's data-driven world#the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making#understanding customer behavior#and improving products#the demand for skilled professionals who can analyze#interpret#and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientis#how DataCouncil can help you get there#and why a data science course in Pune is a great option#this blog has the answers.#The Key Qualifications for a Data Scientist#To succeed as a data scientist#a mix of technical skills#education#and hands-on experience is essential. Here are the core qualifications required:#1. Educational Background#A strong foundation in mathematics#statistics#or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields#with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap#offering the academic and practical knowledge required for a strong start in the industry.#2. Proficiency in Programming Languages#Programming is at the heart of data science. You need to be comfortable with languages like Python#R#and SQL#which are widely used for data analysis#machine learning#and database management. A comprehensive data science course in Pune will teach these programming skills from scratch#ensuring you become proficient in coding for data science tasks.#3. Understanding of Machine Learning
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marigoldbaker · 2 years ago
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saw this take online and —
this proves my point so hard re: the total lack of cohesion when it comes to What The Fandom Thinks Happened With Jenny, bc the general take varies between the canon-supported but deeply messily written “she didn’t know” and the not canon-supported but easier to swallow “she had some idea that this could happen and was therefore at fault, removing any nuance/complexity from the scoobies’ reactions,” but THIS takes it a step further and i gotta preserve this take for science
i unironically really wanna write the fic where jenny actually was sent to sunnydale to straight up murder angel. it would have the energy of a forties screwball comedy and it would be a mess.
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itellmyselfsecrets · 6 months ago
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“What may seem objective can actually be highly male biased…Worth is a matter of opinion, and opinion is informed by culture. And if that culture is as male-biased as ours is, it can’t help but be biased against women. By default…The presumption that what is male is universal is a direct consequence of the gender data gap. Whiteness and maleness can only go without saying because most other identities never get said at all. But male universality is also a cause of the gender data gap: because women aren’t seen and aren’t remembered, because male data makes up the majority of what we know, what is male comes to be seen as universal. It leads to the positioning of women, half the global population, as a minority. With a niche identity, and a subjective point of view. In such a framing, women are set up to be forgettable. Ignorable. Dispensable - from culture, from history, from data. And so, women become invisible.” - Caroline Criado Perez (Invisible Women: Data Bias in a World Designed for Men)
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