Approaching (Almost) Any Machine Learning Problem PDF Download
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Author: Abhishek Thakur
Publisher: Abhishek Thakur
ISBN: 8269211508
Category : Computers
Languages : en
Pages : 300
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Book Description
This is not a traditional book. The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on Github is not an option. This book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning. The book doesn't explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. The book is not for you if you are looking for pure basics. The book is for you if you are looking for guidance on approaching machine learning problems. The book is best enjoyed with a cup of coffee and a laptop/workstation where you can code along. Table of contents: - Setting up your working environment - Supervised vs unsupervised learning - Cross-validation - Evaluation metrics - Arranging machine learning projects - Approaching categorical variables - Feature engineering - Feature selection - Hyperparameter optimization - Approaching image classification & segmentation - Approaching text classification/regression - Approaching ensembling and stacking - Approaching reproducible code & model serving There are no sub-headings. Important terms are written in bold. I will be answering all your queries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book. To ask questions/doubts, visit this link: https://bit.ly/aamlquestions And Subscribe to my youtube channel: https://bit.ly/abhitubesub
Author: Abhishek Thakur
Publisher: Abhishek Thakur
ISBN: 8269211508
Category : Computers
Languages : en
Pages : 300
Get Book Here
Book Description
This is not a traditional book. The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on Github is not an option. This book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning. The book doesn't explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. The book is not for you if you are looking for pure basics. The book is for you if you are looking for guidance on approaching machine learning problems. The book is best enjoyed with a cup of coffee and a laptop/workstation where you can code along. Table of contents: - Setting up your working environment - Supervised vs unsupervised learning - Cross-validation - Evaluation metrics - Arranging machine learning projects - Approaching categorical variables - Feature engineering - Feature selection - Hyperparameter optimization - Approaching image classification & segmentation - Approaching text classification/regression - Approaching ensembling and stacking - Approaching reproducible code & model serving There are no sub-headings. Important terms are written in bold. I will be answering all your queries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book. To ask questions/doubts, visit this link: https://bit.ly/aamlquestions And Subscribe to my youtube channel: https://bit.ly/abhitubesub
Author:
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ISBN:
Category : Hardware
Languages : en
Pages : 2686
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Category : Engineering
Languages : en
Pages : 678
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Category : Iron industry and trade
Languages : en
Pages : 1688
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Author: United States. Congress. House
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Category :
Languages : en
Pages : 2522
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Author: United States. Congress. House. Appropriations
Publisher:
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Category :
Languages : en
Pages : 1168
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Category : Electric power
Languages : en
Pages : 650
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Author: United States. Customs Court
Publisher:
ISBN:
Category : Customs administration
Languages : en
Pages : 276
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Book Description
Author: Judith Reeves-Stevens
Publisher: Simon and Schuster
ISBN: 0743488148
Category : Fiction
Languages : en
Pages : 429
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Book Description
The Star Trek: Signature Edition series continues with this thrilling adventure featuring Commander Spock, Captain Kirk, and the U.S.S. Enterprise. Of all the experiences shared by Captain Kirk and the crew of the Starship Enterprise™ during their first five-year mission, two were among the most perilous: a journey to the nonphysical realm of Transition where the massive computer known as Memory Prime was situated, and the nightmarish mission to Talin IV, a world poised on the brink of destruction that Kirk was forbidden to save. In the twenty-third century, a hundred years before a sentient artificial life-form would be allowed to earn a Starfleet commission, the Federation considers the use of self-aware artificial intelligences to be little more than slavery, except for the immense computer system of Memory Prime—the key hub in the Federation's vast network of interstellar library planets. There, the A.I.s known as Pathfinders inhabit Transition—a virtual world so different from our universe that the A.I.s themselves debate whether or not the physical universe is real. But when an ancient enemy reaches out from the shadows of Vulcan's darkest history and threatens to destroy the Federation, Spock must risk his career, and his life, to enter the Pathfinders' realm. Technologically and politically, Talin IV is little different from late-twentieth century Earth. But as a series of mysterious events pushes that world closer to self-annihilation, the Prime Directive prevents Captain Kirk and his crew from doing anything to prevent it. When the worst appears to happen and Kirk takes desperate action to give the Talin a chance to step back from the nuclear abyss, Talin IV is consumed by radioactive fire. Now, with a world destroyed and the Enterprise dead in space, the careers of Kirk and his crew are over. Disgraced and despised, Kirk has only one chance to redeem himself and his crew: Somehow, he must make his way back to Talin IV and discover what really happened, even if it means proving that a world died because he broke Starfleet's most sacred law.
Author: Sarah Peis
Publisher: Hexatorial
ISBN: 064810852X
Category : Fiction
Languages : en
Pages : 230
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Book Description
“The best feel-good romcom you need right now.” Goodreads reviewer A mistaken arrest, an unpaid debt, and a trip to Vegas. Living in a small town where everyone knows your business isn’t easy. But when your dad is the business everyone talks about, it’s even harder. When Willa Montgomery becomes collateral to pay off her dad’s debt to local playboy Jameson Drake, she realizes things can always get worse. Forced to work for Jameson, she soon realizes there is more to him than meets the eye. Behind the delectable wrapping and gruff demeanor is a good guy who’s ready to help whenever Willa needs him. And the way he looks at her makes her think that the rumors are wrong. Because just maybe he doesn’t hate her as much as she thought. But has the former player really changed, or is he just warming up for his big game? This is the first book in the Sweet Dreams series and can be read as a standalone. Note from the author: In order not to get kicked out of the good (okay goodish.... fine, sometimes good) girls club, I’d like to point out that this is a steamy romcom and my characters use bad language (sometimes) and like to get it on. There’s no cheating and all my books have a HEA. #romanticcomedy #HEA #romcom #enemiestolovers #hotboss #alpha #broodyalpha #contemporaryromance #romance #quirky #funny #humour #humor #freebook #free #freeromance
