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کتابخانه مهندسی کامپیوتر و پایتون

کتابخانه مهندسی کامپیوتر و پایتون

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Post #2642 4.09K
💠آموزش برنامه نویسی پایتون

🎯 این دوره به حدی فوق العاده است که در کمتر از ۲ ماه 1586 ثبت نام داشته .

🎯 ثبت نام در دوره آموزش پایتون با 90 درصد #تخفیف از لینک زیر👇

https://b2n.ir/042082
Post #2640 4.35K
Artificial Intelligence in Finance (2020) : a Python_ based guide

#هوش_مصنوعی #پایتون

🆔 @Programming4all_0to100
Post #2632 4.06K
🔻فیلم های آموزش React js 🔻
Post #2597 3.94K
Introduction to Python for Science and Engineering

Author(s): David J. Pine
Series: Series in Computational Physics
Publisher: CRC Press, Year: 2019


Description:

This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips.

🆔 @Programming4all_0to100
Post #2591 4.09K
Fundamentals_of_Machine_Learning_for_Predictive_Data_Analytics_2nd.pdf62.7 MB
Fundamentals of Machine Learning for Predictive Data Analytics (2020)

The book is accessible, offering nontechnical explanations of the ideas underpinning each approach before introducing mathematical models and algorithms. It is focused and deep, providing students with detailed knowledge on core concepts, giving them a solid basis for exploring the field on their own. Both early chapters and later case studies illustrate how the process of learning predictive models fits into the broader business context. The two case studies describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book can be used as a textbook at the introductory level or as a reference for professionals.

‼️هشتگ ها را در کانال دنبال کنید 👇
#یادگیری_ماشین #علم_داده

برای دانلود کتابهای بیشتر در کانال عضو شوید👇
🆔 @Programming4all_0to100
Post #2590 3.82K
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Author(s): John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
Publisher: The MIT Press, Year: 2020


Description:
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.

‼️هشتگ ها را در کانال دنبال کنید 👇
#پایتون #یادگیری_ماشین

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🆔 @Programming4all_0to100
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