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Exploring Algorithms

Unknown Author
4.9/5 (15047 ratings)
Description:Algorithms are the backbone of all programming and govern how your programs process and store data. Solving many programming problems is often just a matter of picking the right algorithms for the job. Discover tested and proven algorithms for AI, big data, and more with this free mini ebook!Exploring Algorithms showcases chapters from three Manning books chosen by author and algorithm expert Marcello La Rocca. In the first chapter, you’ll delve into evolutionary algorithms, which draw on our knowledge of biological evolution to solve difficult machine learning problems. Next, you’ll examine a data structure designed expressly to tackle the (in)famous nearest neighbor problem. The last chapter spotlights ways to transform fundamental algorithms and data structures into ones that scale well to large datasets. Glimpse the tip of the algorithm iceberg with this free mini ebook!We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Exploring Algorithms. To get started finding Exploring Algorithms, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
106
Format
PDF, EPUB & Kindle Edition
Publisher
Manning
Release
2021
ISBN
1617299685

Exploring Algorithms

Unknown Author
4.4/5 (1290744 ratings)
Description: Algorithms are the backbone of all programming and govern how your programs process and store data. Solving many programming problems is often just a matter of picking the right algorithms for the job. Discover tested and proven algorithms for AI, big data, and more with this free mini ebook!Exploring Algorithms showcases chapters from three Manning books chosen by author and algorithm expert Marcello La Rocca. In the first chapter, you’ll delve into evolutionary algorithms, which draw on our knowledge of biological evolution to solve difficult machine learning problems. Next, you’ll examine a data structure designed expressly to tackle the (in)famous nearest neighbor problem. The last chapter spotlights ways to transform fundamental algorithms and data structures into ones that scale well to large datasets. Glimpse the tip of the algorithm iceberg with this free mini ebook!We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Exploring Algorithms. To get started finding Exploring Algorithms, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
106
Format
PDF, EPUB & Kindle Edition
Publisher
Manning
Release
2021
ISBN
1617299685
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