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http://localhost/handle/Hannan/934
عنوان: | Python Machine Learning Case Studies |
عنوان دیگر: | Five Case Studies for the Data Scientist / |
پدیدآورنده: | Haroon, Danish. ; |
کلید واژه ها: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Database Management;Computers;Computer Science;Computing Methodologies. ;;Python. ;;Big Data. ;;Programming Languages and Compilers and Interpreters |
تاریخ انتشار: | 2017 |
محل نشر: | Berkeley, CA : |
ناشر: | Apress : Imprint: Apress, |
چکیده: | Embrace machine learning approaches and Python to enable automatic rendering of rich insights. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Studyetakes you through the steps to improve business processes and determine the pivotal points that frame strategies. Youeell see machine learning techniques that you can use to support your products and services. Moreover youeell learn the pros and cons of each of the machine learning concepts presented. By taking a step-by-step approach to coding in Python youeell be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure th at you understand the data science approach to solving real-world problems. You will: Gain insights into machine learning conceptse Work on real-world applications of machine learning Get a hands-on overview to Python from a machine learning point of view. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9781484228227. ; QA75.5-76.95 ; |
آدرس: | http://localhost/handle/Hannan/934 |
شابک : | 9781484228234 ; 9781484228227 (print) ; |
اطلاعات بیشتر: | XVII, 204 p. 120 illus., 99 illus. in color. ; online resource. ; |
مجموعه(های): | مهندسی فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9781484228234.pdf | 8.14 MB | Adobe PDF | مشاهده فایل |
عنوان: | Python Machine Learning Case Studies |
عنوان دیگر: | Five Case Studies for the Data Scientist / |
پدیدآورنده: | Haroon, Danish. ; |
کلید واژه ها: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Database Management;Computers;Computer Science;Computing Methodologies. ;;Python. ;;Big Data. ;;Programming Languages and Compilers and Interpreters |
تاریخ انتشار: | 2017 |
محل نشر: | Berkeley, CA : |
ناشر: | Apress : Imprint: Apress, |
چکیده: | Embrace machine learning approaches and Python to enable automatic rendering of rich insights. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Studyetakes you through the steps to improve business processes and determine the pivotal points that frame strategies. Youeell see machine learning techniques that you can use to support your products and services. Moreover youeell learn the pros and cons of each of the machine learning concepts presented. By taking a step-by-step approach to coding in Python youeell be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure th at you understand the data science approach to solving real-world problems. You will: Gain insights into machine learning conceptse Work on real-world applications of machine learning Get a hands-on overview to Python from a machine learning point of view. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9781484228227. ; QA75.5-76.95 ; |
آدرس: | http://localhost/handle/Hannan/934 |
شابک : | 9781484228234 ; 9781484228227 (print) ; |
اطلاعات بیشتر: | XVII, 204 p. 120 illus., 99 illus. in color. ; online resource. ; |
مجموعه(های): | مهندسی فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9781484228234.pdf | 8.14 MB | Adobe PDF | مشاهده فایل |
عنوان: | Python Machine Learning Case Studies |
عنوان دیگر: | Five Case Studies for the Data Scientist / |
پدیدآورنده: | Haroon, Danish. ; |
کلید واژه ها: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Database Management;Computers;Computer Science;Computing Methodologies. ;;Python. ;;Big Data. ;;Programming Languages and Compilers and Interpreters |
تاریخ انتشار: | 2017 |
محل نشر: | Berkeley, CA : |
ناشر: | Apress : Imprint: Apress, |
چکیده: | Embrace machine learning approaches and Python to enable automatic rendering of rich insights. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Studyetakes you through the steps to improve business processes and determine the pivotal points that frame strategies. Youeell see machine learning techniques that you can use to support your products and services. Moreover youeell learn the pros and cons of each of the machine learning concepts presented. By taking a step-by-step approach to coding in Python youeell be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure th at you understand the data science approach to solving real-world problems. You will: Gain insights into machine learning conceptse Work on real-world applications of machine learning Get a hands-on overview to Python from a machine learning point of view. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9781484228227. ; QA75.5-76.95 ; |
آدرس: | http://localhost/handle/Hannan/934 |
شابک : | 9781484228234 ; 9781484228227 (print) ; |
اطلاعات بیشتر: | XVII, 204 p. 120 illus., 99 illus. in color. ; online resource. ; |
مجموعه(های): | مهندسی فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9781484228234.pdf | 8.14 MB | Adobe PDF | مشاهده فایل |