Python数据挖掘与机器学习实战
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机器学习 machine learning 中文 pdf 非扫描版 评分:
机器学习 machine learning 中文 pdf 非扫描版 非常不错的一本书,
上传时间:2009-11 大小:1.58MB
- 366KB
人工智能和机器学习.pdf
2021-09-24人工智能和机器学习.pdf
- 11.47MB
机器学习的数学基础 machine learning.pdf
2021-11-27机器学习的数学基础 machine learning.pdf
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Learning Deep Architectures for AI.pdf
2018-04-18[Foundations and Trends in Machine Learning] Yoshua Bengio - Learning Deep Architectures for AI (2009, Now Publishers Inc).pdf
- 10.9MB
Machine Learning Algorithms 无水印pdf
2017-10-06Machine Learning Algorithms 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
- 8.86MB
Machine Learning for Text 无水印原版pdf
2018-03-27Machine Learning for Text 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
- 16.14MB
机器学习实战_Machine_Learning_in_Action.pdf
2021-09-14机器学习实战_Machine_Learning_in_Action.pdf
- 1.48MB
使用ClickHouse的机器学习——Machine Learning with ClickHouse.pdf
2022-04-01使用ClickHouse的机器学习——Machine Learning with ClickHouse.pdf
- 21.95MB
人在回路机器学习Human-in-the-Loop_Machine_Learning.pdf
2021-09-22Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. Summary Most machine learning systems that are deployed in the world today learn from human ...
- 6.69MB
机器学习MachineLearning讲义问题以及解答
2016-07-04压缩包包含斯坦福大学机器学习MachineLearning课程的讲义以及问题和问题解答
- 261KB
python机器学习教程-从零开始掌握Python机器学习:十四步教程.pdf
2023-06-12本教程原⽂ 分为两个部分,机器之⼼在本⽂中将其进⾏了整合,原⽂可参阅:7 Steps to Mastering Machine Learning With Python 和 7 More Steps to Mastering Machine Learning With Python。本教程的作者为 ...
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Practical Deep Learning For Coders, Part 1(5-7)
2018-07-28Practical Deep Learning For Coders, Part 1(5-7) 视频共7个,每个大概1个半小时,由于视频太大分成两部分,本部分是课程5-7。 Practical Deep Learning For Coders, Part 1, Base on Torch taught by Jeremy Howard (Kaggle's #1 competitor 2 years running, and founder of Enlitic). Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down. 1.Image Recognition 2.CNNS 3.Overfitting 4.Embeddings 5.NLP 6.RNNS 7.CNN Architectures
- 20.52MB
machine learning.pdf
2008-09-12Tom M. Mitchell 英文原版影印 machine learning
- 964.65MB
Practical Deep Learning For Coders, Part 1(1-4)
2018-07-28Practical Deep Learning For Coders, Part 1(1-4) 视频共7个,每个大概1个半小时,由于视频太大分成两部分,本部分是课程1-4。 Practical Deep Learning For Coders, Part 1, Base on Torch taught by Jeremy Howard (Kaggle's #1 competitor 2 years running, and founder of Enlitic). Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down. 1.Image Recognition 2.CNNS 3.Overfitting 4.Embeddings 5.NLP 6.RNNS 7.CNN Architectures
- 5.81MB
MachineLearningwithR.pdf 英文原版
2019-08-20Machine Learning with R
- 14.62MB
Real-World Machine Learning 无水印pdf
2017-09-27Real-World Machine Learning 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
- 7.97MB
《Approaching (Almost) Any Machine Learning Problem》
2023-09-13《Approaching (Almost) Any Machine Learning Problem》
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cousera Machine Learning 机器学习 作业 答案 ex4
2016-03-09cousera Machine Learning 机器学习 作业 答案 ex4
- 15.38MB
Practical Machine Learning with Python.pdf
2018-07-25in Machine Learning solutions and driving adoption across diverse segments of the industry. The ability to learn complex models underlying the real-world processes from observed (training) data ...
- 21.9MB
麻省理工MIT机器学习Machine Learning课程课件
2013-01-23麻省理工学院(MIT)的机器学习(Machine Learning)课程资料,包括课件、阅读资料、手册、课表、项目等
- 8.75MB
PYTHON_MACHINE_LEARNING.pdf_nobodyrev_机器学习_python_machinelearnin
2021-10-04Python Machine Learning
- 9.59MB
Python Machine Learning.pdf 无水印书签修正完美版 2015
2015-11-13原pdf书签没有链接正确,本人对此进行了修正 Paperback: 454 pages Publisher: Packt Publishing - ebooks Account (September 2015) Language: English ISBN-10: 1783555130 ISBN-13: 978-1783555130 Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask and answer tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data
- 1.55MB
Machine Learning (Tom) 中文清晰版
2017-12-09machine learning 最经典的教材,卡内基梅隆教材,数学原理娓娓道来,是励志学习machine learning人士必读之书。
- 651KB
Machine learning and Neural Networks.pdf
2008-02-12Machine learning and Neural Networks.pdf
- 14.26MB
Machine Learning.pdf
2020-05-04包括1900页的机器学习基础资料,内容包括线性代数、矩阵理论、线性优化、非线性优化、张量代数、微积分、等机器学习的基础材料。
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Machine Learning by Tutorials (2nd Edition).pdf
2019-10-19Covers CoreML, Vison, image and sequence classifiers, natural language processing, and more. Get started with Machine Learning for Apple and iOS! Want to know a secret? Machine learning isn’t really that hard to learn. The truth is, you don’t need a PhD from a prestigious university or a background in mathematics to do machine learning. If you already know how to code, you can pick up machine learning quite easily — promise! This book will get you started with machine learning on iOS and Apple devices. The first bit is a gentle introduction to the world of machine learning and what it has to offer — as well as what its limitations are. In the rest of the book, you’ll look at each of these topics in more detail, until you know enough to make machine learning a useful tool in your software development toolbox. There are now several high-level Apple frameworks, including Natural Language, Speech, and Vision, that provide advanced machine learning functionality behind simple APIs as part of Apple’s iOS tooling. Whether you want to convert speech to text, recognize language or grammatical structure, detect faces in photos or track moving objects in video, these frameworks have got you covered. In this book, you’ll learn how to use these tools and frameworks to make your apps smarter. Even better, you’ll learn how machine learning works behind the scenes — and why this technology is awesome. This book is for all Apple and iOS developers who are interested in learning how to train models, code image recognition systems, learn how natural language processing works, build sequence classifiers and more.
- 2.62MB
Statistical Methods for Machine Learning by Jason Brownlee
2021-06-26Statistical Methods for Machine Learning Discover How to Transform Data into Knowledge with Python by Jason Brownlee 统计学是机器学习的支柱。没有机器学习,你就无法对机器学习产生深刻的理解和应用。 ...
- 23.87MB
machinelearning-pdf_zip1_machineLearning_python机器学习_.zip
2021-10-18machinelearning-pdf_zip1_machineLearning_python机器学习_.zip
- 240KB
A survey of machine learning by Carl Burch 机器学习 综述
2017-12-17machine learning 机器学习 综述 machine learning 机器学习 综述 machine learning 机器学习 综述
- 3.36MB
图机器学习,Graph-Powered Machine Learning.pdf
2023-05-21图机器学习,Graph-Powered Machine Learning.pdf