3 netflix imdb
3% (TV Series 2016–2020) – IMDb
A post-apocalyptic thriller set in near-future Brazil, where a select few are allowed to join a privileged society after undergoing an intense and …
Best Crime Drama Shows on Netflix According to IMDb and …
3% (TV Series 2016–2020) cast and crew credits, including actors, actresses, …
Trim: IMDB Ratings on Netflix and Prime Video
Best Crime Drama Shows on Netflix According to IMDb and Rotten Tomatoes – What’s on Netflix
för 8 dagar sedan — Best Crime Drama Shows on Netflix According to IMDb and Rotten Tomatoes · 1. Breaking Bad · 2. My Mister · 3. Better Call Saul · 4. Peaky Blinders N.
IMDb – Wikipedia
Trim: IMDB Ratings on Netflix and Prime Video – Chrome Webshop
7 feb. 2023 — Trim shows IMDB, Rotten Tomatoes and Metacritic ratings on Netflix, Amazon Prime Video and other streaming services. Features: ☆ Show IMDB …
Show IMDB, Rotten Tomatoes and Metacritic ratings on Netflix, Amazon Prime Video and other streaming services
Top 10 Highest Rated IMDB Web Series On Netflix – YouTube
IMDb – Wikipedia
IMDb is an online database of information related to films, television series, podcasts, home videos, video games, and streaming content online – including …
Best ‘Family Guy’ Episode of Every Season, Ranked … – Collider
Best ‘Family Guy’ Episode of Every Season, Ranked According to IMDb
för 8 dagar sedan — 3 Season 3: “To Love and Die in Dixie”. Chris and his new friend. IMDb Score: 8.1/10. “To Love And Die In Dixie” is the twelfth episode of …
Running for 20 seasons and counting, Family Guy encapsulates episodes that have had hits, misses, and overtly comedic shock value
The Last of Us – Rotten Tomatoes
Joel and Ellie must survive ruthless killers and monsters on a trek across America after an outbreak. Creators: Neil Druckmann, Craig Mazin.
The 100 Greatest Superhero Films and TV Shows
The 100 Greatest Superhero Films and TV Shows – Zachary Ingle, David M. Sutera – Google Böcker
A fascinating exploration of the most significant superhero films and television shows in history, from the classic serial Adventures of Captain Marvel to the Disney+ hit show WandaVision.In The 100 Greatest Superhero Films and TV Shows, Zachary Ingle and David M. Sutera celebrate over eighty years of superhero cinema and television. Featuring blockbusters such as Black Panther and The Dark Knight, Ingle and Sutera also include lesser-known yet critically acclaimed shows like The Boys, cult films such as The Toxic Avenger, and foreign series like Astro Boy to provide a well-rounded perspective of the genre. All one hundred selections are evaluated based on qualities such as plot and character development, adherence to the original source materials, technological innovations, and social impact. The entries cover both live-action and animated films and TV series, and almost a third of the entries are not associated with Marvel or DC—a testament to the genre’s variety in its eighty-year history. The 100 Greatest Superhero Films and TV Shows includes an analysis of the superhero’s evolution and its relevance to the feminist movement, auteur theory, convergence culture, critical race theory, and more. Featuring more than 80 photographs alongside the authors’ selections, the diverse entries are sure to inspire debate and entertain all fans of superhero movies and television shows.
Data Science Ethics: Concepts, Techniques, and Cautionary Tales
Data Science Ethics: Concepts, Techniques, and Cautionary Tales – David Martens – Google Böcker
Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase ofprivacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work – Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aidunderstanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethicaldilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data.
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