Jordan

Bruna Guedes

Husain Kothari

FRNK

Uendi Prifti

Abdul Hasib

Loughlin Sullivan

Delaney Knopp

Auriel W

Blake Molmen

Dani Shahar

Luis Javier Campos nieto

Translated and with a preface by Mark HarmanLeft unfinished by Kafka in 1922 and not published until 1926, two years after his death, The Castle is the haunting tale of K.’s relentless, unavailing struggle with an inscrutable authority in order to gain access to the Castle. Scrupulously following the fluidity and breathlessness of the sparsely punctuated original manuscript, Mark Harman’s new translation reveals levels of comedy, energy, and visual power, previously unknown to English language readers.

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

This is an introductory book on Machine Learning. There is quite a lot of mathematics and statistics in the book, which I like. A large number of methods and algorithms are introduced: Neural Networks Bayesian Learning Genetic Algorithms Reinforcement LearningThe material covered is very interesting and clearly explained. I find the presentation, however, a bit lacking. I think it has to do with the chosen fonts and lack of highlighting of important terms. Maybe it would have been better to have shorter paragraphs too.If you are looking for an introductory book on machine learning right now, I would not recommend this book, because in recent years better books have been written on the subject. These are better obviously, because they include coverage of more modern techniques. I give this book 3 out of 5 stars.

Protagonist Alex DeLarge is an "ultraviolent" youth in futuristic Britain. As with all luck, his eventually runs out and he's arrested and convicted of murder. While in prison, Alex learns of an experimental program in which convicts are programmed to detest violence. If he goes through the program, his sentence will be reduced and he will be back on the streets sooner than expected. But Alex's ordeals are far from over once he hits the streets of Britain..

From the heights of notoriety to the depths of depravity, John Forbes Nash, Jr. experienced it all. A mathematical genius, he made an astonishing discovery early in his career and stood on the brink of international acclaim. But the handsome and arrogant Nash soon found himself on a painful and harrowing journey of self-discovery. After many years of struggle, he eventually triumphed over his tragedy, and finally - late in life - received the Nobel Prize.

"2001" is a story of evolution. Sometime in the distant past, someone or something nudged evolution by placing a monolith on Earth (presumably elsewhere throughout the universe as well). Evolution then enabled humankind to reach the moon's surface, where yet another monolith is found, one that signals the monolith placers that humankind has evolved that far. Now a race begins between computers (HAL) and human (Bowman) to reach the monolith placers. The winner will achieve the next step in evolution, whatever that may be.

Alan is a stylish tailor with moves as sharp as his suits. He has spent years searching tirelessly for his missing son Michael who stormed out over a game of scrabble. With a body to identify and his family torn apart, Alan must repair the relationship with his youngest son Peter and solve the mystery of an online player who he thinks could be Michael, so he can finally move on and reunite his family.

In 1940s England, thirteen-year-old Tolly (Alex Etel) is sent to Green Knowe, the country estate of his grandmother, while his mother searches for any information concerning his missing-in-action father. Tolly soon finds that he can pass through time to witness the family stories Grandmother Oldknow (Dame Maggie Smith) tells him. Travelling back to 1805, Tolly becomes caught up in the family scandals, secrets, and mysteries that still echo in his own time.

2009 British children's time travel adventure film directed by Julian Fellowes

An unemployed man opens a Church to live from the tithes. A teenager sells her body to buy the things her mother cannot buy for her. A young girl, sexually abused by her father, cannot accept he has moved out. A bitter man finds a purpose for his empty life in his best friend's wife. An Eastern European immigrant pushes his wife to work in a strip club to pay his debts. Five interlocked stories offer a provocative vision of the Ten Commandments and how nowadays, many people have to break them in order to survive.

This movie recounts the adventures of M. Gustave (Ralph Fiennes), a legendary concierge at a famous European hotel between the wars, and Zero Moustafa (Tony Revolori), the lobby boy who becomes his most trusted friend. The story involves the theft and recovery of a priceless Renaissance painting and the battle for an enormous family fortune - all against the backdrop of a suddenly and dramatically changing continent.

It is the height of the war in Vietnam, and U.S. Army Captain Willard is sent by Colonel Lucas and a General to carry out a mission that, officially, 'does not exist - nor will it ever exist'. The mission: To seek out a mysterious Green Beret Colonel, Walter Kurtz, whose army has crossed the border into Cambodia and is conducting hit-and-run missions against the Viet Cong and NVA. The army believes Kurtz has gone completely insane and Willard's job is to eliminate him. Willard, sent up the Nung River on a U.S. Navy patrol boat, discovers that his target is one of the most decorated officers in the U.S. Army. His crew meets up with surfer-type Lt-Colonel Kilgore, head of a U.S Army helicopter cavalry group which eliminates a Viet Cong outpost to provide an entry point into the Nung River. After some hair-raising encounters, in which some of his crew are killed, Willard, Lance and Chef reach Colonel Kurtz's outpost, beyond the Do Lung Bridge. Now, after becoming prisoners of Kurtz, will Willard & the others be able to fulfill their mission?

1979 American war film directed by Francis Ford Coppola

Mickey Knox and Mallory Wilson aren't your typical lovers - after killing her abusive father, they go on a road trip where, every time they stop somewhere, they kill pretty well everyone around them. They do however leave one person alive at every shootout to tell the story and they soon become a media sensation thanks to sensationalized reporting. Told in a highly visual style.

There's something fishy going on at the elitist Bushwood Country Club, and the scheming president of the clubhouse, Judge Elihu Smails, has something to do with it. But, the suave golf guru, Ty Webb, and the distasteful, filthy rich construction magnate, Al Czervik, are onto him. In the meantime, the young caddie, Danny Noonan, struggles to get his life back on track, and the only way to do it is by winning the demanding Caddie Day golf tournament; a prestigious competition that can earn him a scholarship from the judge himself. Now, war breaks out, and all bets are off. Will Danny ever make his dream come true? Does he know that a subterranean menace is threatening to put in jeopardy everyone's plans?

A weather man is reluctantly sent to cover a story about a weather forecasting "rat" (as he calls it). This is his fourth year on the story, and he makes no effort to hide his frustration. On awaking the 'following' day, he discovers that it's Groundhog Day again, and again, and again. First he uses this to his advantage, then comes the realisation that he is doomed to spend the rest of eternity in the same place, seeing the same people do the same thing every day.

1994 American crime film directed by Quentin Tarantino

When "the dude" Lebowski is mistaken for a millionaire Lebowski, two thugs urinate on his rug to coerce him into paying a debt he knows nothing about. While attempting to gain recompense for the ruined rug from his wealthy counterpart, he accepts a one-time job with high pay-off. He enlists the help of his bowling buddy, Walter, a gun-toting Jewish-convert with anger issues. Deception leads to more trouble, and it soon seems that everyone from porn empire tycoons to nihilists want something from The Dude.

Canadian singer, songwriter and filmmaker (born 1945)

When the body of a young man is discovered in a derelict building, Detective Chief Inspector (DCI) Cassie Stuart is called in to investigate with her partner, Detective Sergeant (DS) Sunil "Sunny" Khan (Sanjeev Bhaskar). Jimmy Sullivan was a homeless runaway away boy, murdered in 1976 when the building was a hostel. His diary implicates four suspects; a clergyman, an eminent entrepreneur, a community worker, and a disabled house-bound husband caring for his wife. Each has a secret to hide. As their lies unravel, the people they love most begin to wonder what else they might be capable of. Nothing in this case is black and white. Can you ever really know the people closest to you? What secrets have they buried?.

A police investigator named Arnar travels from Norway to assist in the investigation surrounding Iceland's first serial killer. He works with Kata, the officer in charge of the case, and together they must race against the clock to find the murderer before it's too late. While the victims initially seem unrelated, the trail leads them to an abandoned boys' home named Valhalla, where some horrifying events occurred 35 years earlier.

Follows Charlotte Heywood's journey as she leaves her rural town behind for a fresh start in Sanditon, a tranquil fishing village with ambitions of becoming a seaside luxury resort. Based on Jane Austen's final (unfinished) novel, written shortly before her death in 1817.

Lord Robert Crawley, Earl of Grantham (Hugh Bonneville) sees his family heritage, especially the grand country home Downton Abbey, as his mission in life. The death of his heir aboard R.M.S. Titanic means distant cousin Matthew Crawley (Dan Stevens), a Manchester lawyer, suddenly is next in line and accepts moving onto the vast estate with his even more modernist, socially engaged mother, who clashes with his Lordship's domineering, conservative mother, the dowager countess. Marrying off the daughters is another concern. Meanwhile, the butler presides over a staff which serves the family, but also lead most of their entire lives in the servants' quarters, intriguing amongst themselves.

British historical drama television series

Widow Dashwood and her three unmarried daughters, Elinor, Marianne and Margaret, inherit only a tiny allowance. So they move out of their grand Sussex home to a more modest cottage in Devonshire. There, the prevailing ambition is to find suitable husbands for the girls. With help from wealthy neighbor Sir John Middleton, suitors for Elinor and Marianne are soon found, but not landed. They include dashing Willoughby, future vicar Edward Ferrars and retired colonial gentleman Colonel Brandon.

In the late 19th century, Tess Durbeyfield is sent off to visit a rich cousin, Alec D'Urberville, when her parents learn that they are distantly related. Tess takes a disliking to the man and his attempts at seduction are rebuffed. Returning from a village party he forces himself on the innocent girl who eventually makes her way back to her parents' home. Ashamed and pregnant she seems destined to forever being marked a certain kind of woman. After the death of her child, she makes her way to a prosperous farm where, working as a milkmaid, she meets and eventually marries the handsome Angel Clare. On learning of her past however, he abandons her and with little choice and facing a life of extreme hardship, again falls into Alec's clutches and becomes a kept woman.

In 1936, Sir Hallam Holland (Ed Stoppard) and his pretty young wife Lady Agnes (Keeley Hawes) return from a diplomatic posting abroad and take up residence at 165 Eaton Place, formerly the home of the Bellamy family but vacant for several years. By chance, they ask Rose Buck (Jean Marsh), a long-time servant in the Bellamy household, to find them a suitable staff. In the end, Rose joins them as the housekeeper. The 1930s are a difficult time in England. The Depression has taken its toll with high levels of unemployment. Fascism, which has become popular on the continent in Italy and Germany, is also finding followers in the U.K. with Oswald Mosely's British Union of Fascists. As the new staff begin their daily work, the downstairs family begins to take shape.

A drama series about the family who founded Chester Zoo in the 1930s.

Dr. Martin Ellingham (Martin Clunes), a London-based surgeon, relocates to the picturesque seaside village of Port Wenn, where he establishes himself as the area's general practitioner. He grew up in the area, having been raised by his now-widowed Aunt Joan Norton (Stephanie Cole). His reasons for leaving London and the high-paid life of a surgeon are not clear initially but related to a phobia he has. He soon meets several of the locals and eccentricity abounds. Martin's situation is made more difficult by what can only be referred as an almost complete lack of an acceptable bedside manner. He is gruff, abrupt, and intolerant, not only in issues related to medicine, but to life in general. He and the headmistress of the local school, Louisa Glasson (Caroline Catz), are clearly attracted to each other and, despite their awkwardness, slowly develop a relationship.

Ross Poldark returns to England after fighting in the American Revolution. His family and friends thought he was dead. The woman he hoped to marry is now engaged to his cousin. His father is dead, and the property he has inherited has been allowed to deteriorate. It is the late 1700s in Cornwall, England. This is a family drama, but is also about the challenges and conflicts between the rich and the poor. It is a time when fishermen are not catching much fish, tin and copper mines are closing down because prices are too low, but the price of food and rents are high. Ross faces the challenge of making his land productive, caring for the tenants who rely on him, and trying to win back the woman he loved - or finding a reason to live without her.

Follows events when the emerging nouveau riche, including the Trenchard family, rub shoulders with London's established upper classes and when secrets from the past threaten to emerge.

The extended Forsyte family live a more than pleasant upper middle class life in Victorian and later Edwardian England. The two central characters are Soames Forsyte and his cousin Jolyon Forsyte. Soames is a solicitor, all proper and straight-laced. His love for the beautiful Irene is his only weakness as is his beautiful daughter Fleur. Jolyon is the opposite, a free-thinking artist who abandons his wife to live with his children's nanny. Their lives and their children's lives will intersect over 30 years bringing happiness to some and tragedy to others.

Centers on the real-life story of the flamboyant and visionary American founder of Selfridge's, London's department store.

THE COLLECTION is a gripping entrepreneurial fable set in France just after the Second World War. An ambitious designer is tasked to restore Paris' supremacy as the haute couture capital. His fresh vision will usher in a new romantic era lifting the post-war gloom and paving the way for optimism and romance. But can this business, spearheaded by two clashing brothers survive meteoric success? Dark secrets threaten to topple this empire at any moment; internal rivalries and betrayals, hateful bargains made to survive the Nazi occupation, and the twisted secret behind the master's success. The staff of the atelier survived one devastating war, but another looms, where personal battles and passionate love stories set family against family and the past against the future.

England in the 1520s is a heartbeat from disaster. If the King dies without a male heir, the country could be destroyed by civil war. Henry VIII wants to annul his marriage of twenty years and marry Anne Boleyn. The Pope and most of Europe oppose him. Into this impasse steps Thomas Cromwell: a wholly original man, a charmer, and a bully, both idealist and opportunist, astute in reading people, and implacable in his ambition. But Henry is volatile: one day tender, one day murderous. Cromwell helps him break the opposition, but what will be the price of his triumph?

1619, Virginia: on what feels like the edge of the world sits the first British colony of Jamestown. For 12 years, it has been populated only by men, but the settlement is shaken up when the first women, including Alice, Verity and Jocelyn, land in this breathtaking wilderness. The new arrivals make an immediate impact and are thrust into a new world of love, desire, power and survival. While love triangles, bitter rivalries and fierce competition cause conflict for the residents, ultimately they are bound together by their resolute will to survive and thrive in their new lives.

At an international spy agency, global crises are merely opportunities for its highly-trained employees to confuse, undermine, betray, and royally screw one another. At the center of it all is suave master spy Sterling Archer, whose less-than-masculine code name is "Duchess." Archer works with his domineering mother Malory, who also is his boss. He must also deal with his ex-girlfriend, Agent Lana Kane, and her new boyfriend, comptroller Cyril Figgis, as well as Malory's lovesick secretary Cheryl.

Comedian Dave Chappelle hosts this sketch-comedy show that parodies many of the nuances of race and culture.

This is an animated sitcom about the antics of a dysfunctional family. Homer is the oafish unhealthy beer loving father, Marge is the hardworking homemaker wife, Bart is the perpetual ten-year-old underachiever (and proud of it), Lisa is the unappreciated eight-year-old genius, and Maggie is the cute, pacifier loving silent infant.

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