Random Forests
•Download as PPTX, PDF•
0 likes•4 views
Random Forest in Machine Learning Explained with an Example from Ergativity Found in Different Languages.
Report
Share
Report
Share
Recommended
13 random forest
Random forest is an ensemble classifier that consists of many decision trees, where each tree depends on the values of a random vector sampled independently from the input data. It combines Breiman's "bagging" idea and the random selection of features to construct a set of decision trees with controlled variance. The random forest algorithm builds decision trees using randomly selected subsets of the training data and randomly selected subsets of input features. Each tree provides a class prediction and the class with the most votes becomes the random forest's prediction. Random forests have advantages including high accuracy, efficiency on large datasets, ability to handle thousands of variables, and estimates of feature importance.
What Is Random Forest_ analytics_ IBM.pdf
Random forest is a machine learning algorithm that combines multiple decision trees to improve predictive accuracy. It works by constructing many decision trees during training and outputting the class that is the mode of the classes of the individual trees. Random forest reduces overfitting and variance compared to a single decision tree. It can handle both classification and regression problems and provides flexibility and easy feature importance evaluation. However, it can be time-consuming and require more resources compared to a single decision tree model.
Unit-1.pdf
- Machine learning is a method of data analysis that automates analytical model building to understand and analyze patterns in data to make decisions without explicit programming. Common applications include virtual assistants, traffic predictions, fraud detection, and recommendations.
- There are two main types of machine learning - supervised learning, where the training data is labeled and the algorithm learns from examples to predict labels for new data, and unsupervised learning, where the training data is unlabeled and the algorithm looks for hidden patterns in the data.
- Bayesian decision theory provides a statistical framework for classification problems based on quantifying costs and probabilities to determine optimal predictions. It uses Bayes' rule to calculate the posterior probability of a class given predictor values.
Decision Tree, Naive Bayes, Association Rule Mining, Support Vector Machine, ...
Decision Tree, Naive Bayes, Association Rule Mining, Support Vector Machine, K nearest Neighbour, K means Clustering, Random Forest By akanksha Bali
Download It
This document summarizes ensemble classification methods including bagging, boosting, and random forests. It discusses discriminative vs generative models and reviews literature on various machine learning algorithms. It provides details on bagging, boosting, random forests algorithms and compares their pros and cons. It discusses empirical comparisons of algorithm performance on different datasets and problems.
The Pashto Language as a Learning Tool for STEM
A presentation on how Pashto of Afghanistan can be a learning resource for STEM (Science, Technology, Engineering, and Mathematics) courses, especially for courses in machine learning .
Romani Language Skills into STEM Skills for Women
A presentation on how knowledge of valency in the Romani language can be a learning tool for learning Science, Technology, Engineering, and Mathematics (STEM).
Epoch Era Analysis (EEA) Education for the Future of Information Technology I...
Epoch Era Analysis as a way to enhance early education curriculum, especially in terms of the theory of context.
Recommended
13 random forest
Random forest is an ensemble classifier that consists of many decision trees, where each tree depends on the values of a random vector sampled independently from the input data. It combines Breiman's "bagging" idea and the random selection of features to construct a set of decision trees with controlled variance. The random forest algorithm builds decision trees using randomly selected subsets of the training data and randomly selected subsets of input features. Each tree provides a class prediction and the class with the most votes becomes the random forest's prediction. Random forests have advantages including high accuracy, efficiency on large datasets, ability to handle thousands of variables, and estimates of feature importance.
What Is Random Forest_ analytics_ IBM.pdf
Random forest is a machine learning algorithm that combines multiple decision trees to improve predictive accuracy. It works by constructing many decision trees during training and outputting the class that is the mode of the classes of the individual trees. Random forest reduces overfitting and variance compared to a single decision tree. It can handle both classification and regression problems and provides flexibility and easy feature importance evaluation. However, it can be time-consuming and require more resources compared to a single decision tree model.
Unit-1.pdf
- Machine learning is a method of data analysis that automates analytical model building to understand and analyze patterns in data to make decisions without explicit programming. Common applications include virtual assistants, traffic predictions, fraud detection, and recommendations.
- There are two main types of machine learning - supervised learning, where the training data is labeled and the algorithm learns from examples to predict labels for new data, and unsupervised learning, where the training data is unlabeled and the algorithm looks for hidden patterns in the data.
- Bayesian decision theory provides a statistical framework for classification problems based on quantifying costs and probabilities to determine optimal predictions. It uses Bayes' rule to calculate the posterior probability of a class given predictor values.
Decision Tree, Naive Bayes, Association Rule Mining, Support Vector Machine, ...
Decision Tree, Naive Bayes, Association Rule Mining, Support Vector Machine, K nearest Neighbour, K means Clustering, Random Forest By akanksha Bali
Download It
This document summarizes ensemble classification methods including bagging, boosting, and random forests. It discusses discriminative vs generative models and reviews literature on various machine learning algorithms. It provides details on bagging, boosting, random forests algorithms and compares their pros and cons. It discusses empirical comparisons of algorithm performance on different datasets and problems.
The Pashto Language as a Learning Tool for STEM
A presentation on how Pashto of Afghanistan can be a learning resource for STEM (Science, Technology, Engineering, and Mathematics) courses, especially for courses in machine learning .
Romani Language Skills into STEM Skills for Women
A presentation on how knowledge of valency in the Romani language can be a learning tool for learning Science, Technology, Engineering, and Mathematics (STEM).
Epoch Era Analysis (EEA) Education for the Future of Information Technology I...
Epoch Era Analysis as a way to enhance early education curriculum, especially in terms of the theory of context.
The Aorist as a Resource for Machine Learning Education
The document discusses using knowledge of the Armenian verb inflection called the aorist as an example for introducing machine learning concepts. It explains that the aorist denotes a simple, completed past action without reference to duration. It provides an example of how spike in viewership data of a TV special could be analyzed using the aorist and context, and introduces the concept of Bayesian inference for determining the likelihood of an event based on changing context in data.
Recipes & Perceptrons
This document discusses using cooking as an analogy to explain neural networks. It outlines how different spices and their ratios can create different tastes, similar to how inputs and their weighted values are summed in a neural network to produce an output. The document proposes creating an online course that teaches computer programming concepts by drawing analogies between cooking recipes and programming neural networks, with the goal of helping bridge the digital divide for women in remote villages.
Tagalog as a Learning Tool for Artificial Intelligence
Tagalog has a unique resource for artificial intelligence due to its use of focus/attention. Attention is being used in AI for applications like text translation and image analysis. Tagalog uses grammatical markers to identify key words and their roles, even if word order is changed, allowing machines to understand sentences. This focus mechanism found in Tagalog can be used to teach the concept of attention to AI and help introduce computer science concepts to students while reinforcing language skills.
Multidisciplinary data analytics
Global Pandemic Tracking and its application to Professional Development
Digital Workforce Skills from Factory Skills
This document discusses how skills learned in factory work can translate to an understanding of digital workforce technologies. It outlines several technologies commonly found in factories like SCADA systems and PLCs that monitor and control equipment. Understanding these systems can help factory workers learn related information technologies like distributed control systems, automation controllers, and other applications. It emphasizes how experiences with complex, interconnected factory systems can provide insights into systems engineering tools and modeling languages for analyzing and planning digital systems.
History of Medical Philosophy
The document proposes an online course for community educators about the history of medical philosophy and how it can help present medical topics from a liberal arts perspective. The course would focus on the philosophical issues of client-based medicine and comparative medical philosophies across cultures. It would also aim to bridge the gap between patients and doctors on evidence-based medicine and statistical data from medical studies. The goal is to help more people in a community feel comfortable understanding scientific medical topics.
Maya Language Skill & ML Learning Skills
The document proposes an online course that teaches machine learning skills by drawing parallels to characteristics of the Maya language. Specifically, it would highlight split-ergativity, where subjects are marked differently based on their involvement in an action. This grammatical structure similarly exists in other languages like Pashto. The course would explain how split-ergativity in Maya relates to the separation of training and testing data in machine learning cross-validation. This would help promote appreciation for Native American languages while imparting data analysis job skills.
Independent Learning Assisted by Means of Machine Learning
This document proposes using machine learning to assist independent learning for students attending online lectures due to the pandemic. It suggests a program where students in areas with limited technology can submit handwritten work via a village center or mobile device to be optically scanned for analysis. The goals are to enable personalized learning for those who missed schooling, facilitate social-emotional learning, support assessments to plan learning, and reduce burdens on educators during disruptions.
CADD and Predictive Analytics
An approach to treating and monitoring rare diseases by means of computer aided drug design (CADD).
NET WORTH: Intellectual Property from Mental Health First Responders Narra...
A presentation on how solutions to mental health issues by first responder professionals can become intellectual property for the scientific and publishing communities.
Languages of India and Indonesia as ML Learning Resources
A METHOD OF TEACHING ARTIFICIAL NEURON THEORY BY MEANS OF ANALOGIES FROM MANAGING MULTIPLE LANGUAGES
Data Analytic Skills from Native American Language Skills
The application of the direct/inverse alignment in some Native American languages as a resource
For learning data analytics
Self Funded Inclusive Insurance + Group Wellness Programs
Employer-based inclusive insurance with global stop loss policies and wellness programs is proposed as a solution to the lack of adequate healthcare access globally. This involves businesses providing self-funded health insurance to employees through an in-house insurer. Risk is managed through stop loss insurance policies at both the individual business and global levels to insure against extraordinary medical claims. Wellness programs aim to offset costs by encouraging healthy behaviors. Reinsurance provides a further safety net against losses exceeding other risk management measures.
HOT: Heating from H2 and O2
A presentation on Brine/Seawater as a source:
-Of heat for homes
-CaCO3 for a new approach to make concrete
- Hydrogen for generating electricity by means of fuel cells.
Finding Remedies- Molecular Docking (2020)
A description of the potential of molecular docking technology applications to treating disease such as COVID.
International Virology and Ventilator Research (2020)
the following is from a JANUARY 2020 presentation
of global research
on VIROLOGY
As well as of ventilator technology of that time.
Net Worth of Geothermal Power Production from Supercritical CO2
How high temperature carbon dioxide, heated by means of geothermal heat sources, can be an alternative energy technology.
Negative Carbon Communities
The document proposes an urban design that uses existing technologies to reduce carbon dioxide levels through transportation, agriculture, waste disposal, and industrial activity. Compressed air cars and industrial compressors would capture carbon dioxide, which could then be piped to greenhouses for sequestration by plants or converted to carbon and hydrogen from methane in landfills to produce electricity and water.
Solutions as Intellectual Property & Reinsurance for Microinsurers
Villages face challenges improving local health issues. Microinsurance can help cover medical costs but microinsurers also need coverage. The solution proposes using anonymized patient data from microinsurers to set reinsurance rates for microinsurers. It also proposes communities license success stories as intellectual property to generate revenue to invest in health projects. Combining the data and stories creates a multidimensional dataset that can inform primary healthcare improvement through low-cost and streamlined measurement methods.
Intelligence supported media monitoring in veterinary medicine
Media monitoring in veterinary medicien
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
More Related Content
More from WinstonGrace2
The Aorist as a Resource for Machine Learning Education
The document discusses using knowledge of the Armenian verb inflection called the aorist as an example for introducing machine learning concepts. It explains that the aorist denotes a simple, completed past action without reference to duration. It provides an example of how spike in viewership data of a TV special could be analyzed using the aorist and context, and introduces the concept of Bayesian inference for determining the likelihood of an event based on changing context in data.
Recipes & Perceptrons
This document discusses using cooking as an analogy to explain neural networks. It outlines how different spices and their ratios can create different tastes, similar to how inputs and their weighted values are summed in a neural network to produce an output. The document proposes creating an online course that teaches computer programming concepts by drawing analogies between cooking recipes and programming neural networks, with the goal of helping bridge the digital divide for women in remote villages.
Tagalog as a Learning Tool for Artificial Intelligence
Tagalog has a unique resource for artificial intelligence due to its use of focus/attention. Attention is being used in AI for applications like text translation and image analysis. Tagalog uses grammatical markers to identify key words and their roles, even if word order is changed, allowing machines to understand sentences. This focus mechanism found in Tagalog can be used to teach the concept of attention to AI and help introduce computer science concepts to students while reinforcing language skills.
Multidisciplinary data analytics
Global Pandemic Tracking and its application to Professional Development
Digital Workforce Skills from Factory Skills
This document discusses how skills learned in factory work can translate to an understanding of digital workforce technologies. It outlines several technologies commonly found in factories like SCADA systems and PLCs that monitor and control equipment. Understanding these systems can help factory workers learn related information technologies like distributed control systems, automation controllers, and other applications. It emphasizes how experiences with complex, interconnected factory systems can provide insights into systems engineering tools and modeling languages for analyzing and planning digital systems.
History of Medical Philosophy
The document proposes an online course for community educators about the history of medical philosophy and how it can help present medical topics from a liberal arts perspective. The course would focus on the philosophical issues of client-based medicine and comparative medical philosophies across cultures. It would also aim to bridge the gap between patients and doctors on evidence-based medicine and statistical data from medical studies. The goal is to help more people in a community feel comfortable understanding scientific medical topics.
Maya Language Skill & ML Learning Skills
The document proposes an online course that teaches machine learning skills by drawing parallels to characteristics of the Maya language. Specifically, it would highlight split-ergativity, where subjects are marked differently based on their involvement in an action. This grammatical structure similarly exists in other languages like Pashto. The course would explain how split-ergativity in Maya relates to the separation of training and testing data in machine learning cross-validation. This would help promote appreciation for Native American languages while imparting data analysis job skills.
Independent Learning Assisted by Means of Machine Learning
This document proposes using machine learning to assist independent learning for students attending online lectures due to the pandemic. It suggests a program where students in areas with limited technology can submit handwritten work via a village center or mobile device to be optically scanned for analysis. The goals are to enable personalized learning for those who missed schooling, facilitate social-emotional learning, support assessments to plan learning, and reduce burdens on educators during disruptions.
CADD and Predictive Analytics
An approach to treating and monitoring rare diseases by means of computer aided drug design (CADD).
NET WORTH: Intellectual Property from Mental Health First Responders Narra...
A presentation on how solutions to mental health issues by first responder professionals can become intellectual property for the scientific and publishing communities.
Languages of India and Indonesia as ML Learning Resources
A METHOD OF TEACHING ARTIFICIAL NEURON THEORY BY MEANS OF ANALOGIES FROM MANAGING MULTIPLE LANGUAGES
Data Analytic Skills from Native American Language Skills
The application of the direct/inverse alignment in some Native American languages as a resource
For learning data analytics
Self Funded Inclusive Insurance + Group Wellness Programs
Employer-based inclusive insurance with global stop loss policies and wellness programs is proposed as a solution to the lack of adequate healthcare access globally. This involves businesses providing self-funded health insurance to employees through an in-house insurer. Risk is managed through stop loss insurance policies at both the individual business and global levels to insure against extraordinary medical claims. Wellness programs aim to offset costs by encouraging healthy behaviors. Reinsurance provides a further safety net against losses exceeding other risk management measures.
HOT: Heating from H2 and O2
A presentation on Brine/Seawater as a source:
-Of heat for homes
-CaCO3 for a new approach to make concrete
- Hydrogen for generating electricity by means of fuel cells.
Finding Remedies- Molecular Docking (2020)
A description of the potential of molecular docking technology applications to treating disease such as COVID.
International Virology and Ventilator Research (2020)
the following is from a JANUARY 2020 presentation
of global research
on VIROLOGY
As well as of ventilator technology of that time.
Net Worth of Geothermal Power Production from Supercritical CO2
How high temperature carbon dioxide, heated by means of geothermal heat sources, can be an alternative energy technology.
Negative Carbon Communities
The document proposes an urban design that uses existing technologies to reduce carbon dioxide levels through transportation, agriculture, waste disposal, and industrial activity. Compressed air cars and industrial compressors would capture carbon dioxide, which could then be piped to greenhouses for sequestration by plants or converted to carbon and hydrogen from methane in landfills to produce electricity and water.
Solutions as Intellectual Property & Reinsurance for Microinsurers
Villages face challenges improving local health issues. Microinsurance can help cover medical costs but microinsurers also need coverage. The solution proposes using anonymized patient data from microinsurers to set reinsurance rates for microinsurers. It also proposes communities license success stories as intellectual property to generate revenue to invest in health projects. Combining the data and stories creates a multidimensional dataset that can inform primary healthcare improvement through low-cost and streamlined measurement methods.
More from WinstonGrace2 (20)
The Aorist as a Resource for Machine Learning Education
The Aorist as a Resource for Machine Learning Education
Tagalog as a Learning Tool for Artificial Intelligence
Tagalog as a Learning Tool for Artificial Intelligence
Independent Learning Assisted by Means of Machine Learning
Independent Learning Assisted by Means of Machine Learning
NET WORTH: Intellectual Property from Mental Health First Responders Narra...
NET WORTH: Intellectual Property from Mental Health First Responders Narra...
Languages of India and Indonesia as ML Learning Resources
Languages of India and Indonesia as ML Learning Resources
Data Analytic Skills from Native American Language Skills
Data Analytic Skills from Native American Language Skills
Self Funded Inclusive Insurance + Group Wellness Programs
Self Funded Inclusive Insurance + Group Wellness Programs
International Virology and Ventilator Research (2020)
International Virology and Ventilator Research (2020)
Net Worth of Geothermal Power Production from Supercritical CO2
Net Worth of Geothermal Power Production from Supercritical CO2
Solutions as Intellectual Property & Reinsurance for Microinsurers
Solutions as Intellectual Property & Reinsurance for Microinsurers
Recently uploaded
Intelligence supported media monitoring in veterinary medicine
Media monitoring in veterinary medicien
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
原版办理【微信号:BYZS866】【巴斯大学毕业证(Bath毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【关于学历材料质量】
我们承诺采用的是学校原版纸张（原版纸质、底色、纹路、）我们工厂拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有成品以及工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
Open Source Contributions to Postgres: The Basics POSETTE 2024
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
一比一原版(UO毕业证)渥太华大学毕业证如何办理
原件一模一样【微信：95270640】【渥太华大学毕业证UO学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理渥太华大学毕业证UO学位证毕业证offer【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
原版办【微信号:BYZS866】【英属哥伦比亚大学毕业证(UBC毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Population Growth in Bataan: The effects of population growth around rural pl...
A population analysis specific to Bataan.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
原版制作【微信:41543339】【(Unimelb毕业证书)墨尔本大学毕业证】【微信:41543339】《成绩单、外壳、雅思、offer、留信学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同进口机器一比一制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Recently uploaded (20)
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Monthly Management report for the Month of May 2024
Monthly Management report for the Month of May 2024
A presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Random Forests
- 1. FOREST OF RANDOMNESS: REIMAGINING DATA ANALYTICS RANDOM FORESTS IN MACHINE LEARNING FROM THE PERSPECTIVE OF PHYSICS, LANGUAGE, AND MATHEMATICS BY WINSTON GRACE
- 2. The following is a very basic introduction. Perspective from various academic fields are included. Hopefully, the perspectives encourage others to learn more about Random Forests.
- 3. The Random Forest is one of the most popular techniques in Machine Learning. It is essentially a collection of Decision Tree with random data… Hence, the Random Forest or Forest of Randomness.
- 4. The Decision Tree Does x=y? Yes, then x = 5 No, then x = 4
- 5. A Basic Summary of Machine Learning Techniques: Bootstrapping Aggregation or Bagging for Short The Random Forests
- 6. Bootstrapping: Random selections of data, with replacement, taken from what is called the training data. Training data is the key resource for machine learning to prepare itself for applications.
- 7. Result A Result B Result C The Random Forest Results with Greatest Frequency of Appearing Win the Majority Vote: ….In this case, blue circles won the majority vote from the Random Forest Algorithm Process.
- 8. The Language Perspective….The Ergative: -The results are from selection that wins the most votes Like the phrase “the glass breaks”, it is the use of the ergative in Machine Learning.
- 9. The Physics Perspective….Entropy: As the branches of the trees in the forest approach the leaves, there is less unexpected randomness or entropy.
- 10. The Mathematic Perspective…….Cardinality: Each data tree has the same number of elements, and have therefore cardinality. However, no two data sets are equal.
- 11. The End