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Title | Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial |
Description | Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. A book by Yoni Nazarathy and Hayden Klok . | Home | Ga |
Keywords | N/A |
WebSite | statisticswithjulia.org |
Host IP | 54.211.114.166 |
Location | United States |
Site | Rank |
US$1,542,561
Last updated: 2023-05-07 01:30:46
statisticswithjulia.org has Semrush global rank of 6,861,515. statisticswithjulia.org has an estimated worth of US$ 1,542,561, based on its estimated Ads revenue. statisticswithjulia.org receives approximately 177,988 unique visitors each day. Its web server is located in United States, with IP address 54.211.114.166. According to SiteAdvisor, statisticswithjulia.org is safe to visit. |
Purchase/Sale Value | US$1,542,561 |
Daily Ads Revenue | US$1,424 |
Monthly Ads Revenue | US$42,718 |
Yearly Ads Revenue | US$512,605 |
Daily Unique Visitors | 11,866 |
Note: All traffic and earnings values are estimates. |
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statisticswithjulia.org. 300 | A | statisticswithjulia.org. 300 | IP: 54.211.114.166 |
statisticswithjulia.org. 300 | A | statisticswithjulia.org. 300 | IP: 64.227.12.111 |
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Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. A book by Yoni Nazarathy and Hayden Klok . | Home | Gallery | Source | Tutorials | Erratum | Citing | If you are affiliated with a University, in certain cases you may try to access the book directly via SpringerLink . You may also try to purchase the book from Springer, or some vendor such as Amazon. Note that as authors we have no control over the price that Springer charges for the book. This website contains some additional resources related to the book. The gallery page presents all of the Julia generated plots within the book with direct links to the source code. The tutorials page links to videos related to the book or to statistics with julia in general. Importantly, the book’s Julia source code has become a popular resource for those exploring Julia and data science and you are welcomed to use this source code with the book or independently. About the book: Statistics with |
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