Data science and machine learning are great advancements developing the world in manners that occasionally appear to be straight out of a science fiction movie.
The present-day machines are equipped for tedious assignments, just like utilizing complex mathematics to make sense of how to chart a path for a rocket to fly or making weather forecasts based on historical information.
What better way is there to experience the magic of Data science and machine learning than movies? We’ve put together 10 of the best data science and machine learning films:
The title originates from the Latin expression “deus ex machina,” interpreted as “god from the machine.”
In the movie, Caleb, a software engineer at one of the biggest web organizations on the planet, is chosen to take an interest in the greatest experiment of the century.
His job? To develop an artificial intelligence system from scratch utilizing personal information collected from social networking sites.
This film explores a darker topic, investigating humanity’s right to privacy alongside the power of machine learning and data analysis.
In most employments of data science, current data is utilized to extrapolate new info—but not in “Minority Report.”
Instead, PreCogs, a group of gifted people with psychic abilities, give the police force the who, where, and what of crimes and their masterminds.
Using visual data and other data given by these PreCogs, it’s up to the PreCrime police unit to utilize future information to nail down the better details in a crime with the end goal to prevent it. With this, the power of data science is fortified.
The truth is that technology isn’t a “malevolent” instrument ordinarily; rather, it’s flexible to its user’s will.
“21” looks into the math and science of card counting and Las Vegas casinos. Utilizing code talk, hand signals, and a sharp eye, the film investigates the true story of how six MIT understudies could take Vegas casinos for millions.
The Imitation Game
Alan Turing, otherwise called the dad of present-day computer science is notable as the mathematician that “broke the riddle.”
Used by the Germans to encode their messages, the Enigma was a key piece of the Nazi system to securely stow away vital info in plain sight.
To break the code, Turing made a primitive computer that would consider all permutations at a quicker rate than any human could. That helped the Allied forces guarantee their triumph.
In truth, this movie doesn’t simply recount the tale of Turing’s psyche, yet in addition portrays the way toward making the first-ever machine of its kind and brings forth not just the craft of coding and making machines, yet in addition that of cryptography and cybersecurity.
Predictive analysis is amazingly powerful, as “Moneyball” appears. With a negligible budget, Oakland A’s general manager Billy Beane must figure out how to obtain new players with the end goal to fabricate a triumphant group.
He does as such by making use of computer-generated analysis of historical information and predictive modeling, developing a winning baseball team with next to zero extra financial assistance.
Technology doesn’t exist in an air pocket. It influences, and is influenced by, a great many distinctive variables—this can be risky, particularly when technical faults and bugs happen.
The degree of the effect that innovation has on our lives is investigated in more prominent detail in “Margin Call.”
In the early period of the 2008 financial crisis, junior risk analysts discovered that a stream in the risk models that they utilized has prompted their venture firm investing into the wrong things and ending up at the very edge of financial catastrophe.
What appeared as though a basic mistake can, truth be told, influence a large number of lives—and this doesn’t apply to just the financial experts, either.
A financial crisis like this, caused by the mistaken conduct of human and machine specialists alike can have massive effects on regular people.
A Beautiful Mind
An Oscar-winning classic, “A Beautiful Mind” is notable for its portrayal of John Nash, a Nobel laureate in economics.
His progressive work on game hypothesis changed the nature of the science of economics, bringing to the table an inventive method for utilizing mathematics to show key connections between zero-sum games.
His work has been connected utilized in the field of computer science, among others, totally changing the games, regardless of the way that Nash himself experienced Schizophrenia even before his milestone discovery, having strange hallucinations for the duration of his life, up until his demise in 2015.
Set in 2035, a cop is sent to investigate a crime thought to be caused by a robot, a circumstance that could exhibit a significantly bigger danger to mankind.
Known as VIKI, or Virtual Interactive Kinetic Intelligence, this supercomputer-turned-criminal uses information accumulated from around the globe and additionally its very own fearsome computational powers to assume control over the world’s robots—just to be foiled by the technophobic cop and a friendly robot he meets in transit.
The frightening plausibility of machines assuming control nearly works out as expected, giving the audience a look into this nerve-racking speculative circumstance.
Falling in love with a machine: the fantasy, or maybe fear, of a few. In “Her,” a lonely writer really builds up a genuine connection with his new operating system, one that is intended to address his every issue.
By taking in the personalities of the software engineers who had an impact in its creation, this profoundly advanced operating system can learn and always develop and evolve through experiences.
SMart OS Samantha exploits predictive analytics and programming—and it’s up to the audience to choose if “her” purpose and intentions are for better or worse.
Strategy games have for long fascinated humans—considerably more when these games are set in the midst of conflict and war.
In “WarGames,” a young fellow falters through the back door access into a top-secret military computer.
Mistaking it for a war-system game, he plays truly, only to nearly start off World War III. In addition, this supercomputer is programmed to collect information from around the globe and utilize predictive modeling and simulations to make a “game like” circumstance for the young fellow to “play.”
Mankind’s usage of apparently cold and heartless robots to do our bidding continually captivates us.
Maybe this sci-fi center around the present goals and tomorrow’s realities lends some air of mystery and interest to their movies.
Regardless, the utilization of these advancements is a noteworthy theme of discussion and through these movies, various parts of d data science and machine learning have been and will keep on being lit up.