### 统计代写|机器学习作业代写machine learning代考|Smart Economy

statistics-lab™ 为您的留学生涯保驾护航 在代写机器学习machine learning方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写机器学习machine learning代写方面经验极为丰富，各种代写机器学习machine learning相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 统计代写|机器学习作业代写machine learning代考|Smart Economy

The goal of a Smart Economy is to establish a world order that realizes a state of commonwealth for the equitable distribution of resources to all of humanity with a broader planetary benefit. A new convergence of monetary systems and forms of exchange based on decentralized and distributed digital monetary systems will allow the flow of capital in more fluid and targeted means. The ability to localize and scale economic instruments will more effectively serve the needs of diverse and specific populations and uses, protecting natural resources and reducing poverty worldwide. This form of structural deterministic exchange will adapt to meet the demands of each market environment, establishing new forms of economic valuation whereby the true social and environmental cost will be accounted for and all stakeholders including living creatures and nature itself will be recognized and protected for contributing to the maintenance of the ecosystem.

Digital transformation is a key driver for the establishment of new economic systems. Distributed and decentralized platforms, public private partnerships, $B 2 B$, $\mathrm{B} 2 \mathrm{C}$, and peer-to-peer (P2P) channels are enabling new forms of value creation and exchange to fully democratize access to resources, markets, and assets. Innovation built on the maximization of data and the continuous convergence of decentralized networks are forming the foundation of a new and exciting economic order defined by principles of sustainability, inclusiveness, social responsibility, societal well-being and commonwealth. This data rich economic order will be defined by an exponential growth in productivity resulting from increased levels of automation and artificial intelligence. Blockchain and Holochain will record transactional patterns as distributed ledger systems securely, efficiently and transparently. Cryptocurrencies and tokenization will offer alternative monetary instruments for exchange and global stores of value (Table 3 ).

## 统计代写|机器学习作业代写machine learning代考|Smart Mobility

Smart Mobility is about a new freedom of choice. The shift from cybernetic-driven point-to-point transportation to a new stage of integrated mobility solutions driven by $\mathrm{AI}$ is characterized by multimodality, autonomy and on-demand customized

passenger experiences. The transformation and evolution in urban mobility bring an increased sense of well-being for individuals and society. Yet the essence of mobility has not changed much, as people have an intrinsic necessity to be free to explore new destinations and to overcome constraints of distance and time. The self-regulating nature of smart mobility systems is further enhanced by the shifting focus towards creating unique and carefully designed user experiences and lifestyle options as today’s citizens become more environmentally sensitive and health conscious and as new forms of travel, spatial-motion, entertainment, and lifestyle converge.

New mobility solutions have been made possible through the convergence of hardware and software technologies and applications working together to bring human-like qualities to machines. Sentience and cognition function as a higher intelligence for inanimate objects to have the ability to read the environmental terrain, process complex multi-dimensional datasets, analyze big data to predict urban conditions and patterns to determine optimum pathways and to enable the continuous flow and combinations of mobility alternatives. By gaining a better comprehension of the architecture and behavior at every scale of our complex dynamic urban systems, we can develop anticipatory capabilities that continually improve through machine learning algorithms as a built-in properties for autonomous and self-regulating systems (Table 4).

## 统计代写|机器学习作业代写machine learning代考|Smart Governance

The purpose of Smart Government is to arrive at a global state of inclusiveness characterized by citizen responsibility \& participation, transparency, shared resources, and open-source communication. These protocols are geared towards promoting individual and collective well-being, security, and prosperity. The digitalization of public services will enable, promote, encourage, and demand increased new forms of citizen engagement. Certain states around the world have pioneered new inclusive systems of governance empowering their citizens to build on the social organizational theory of self-governance. Rethinking government systems as a series of interconnected cybernetic, autopoietic, anticipatory systems will

help governments to better navigate the increasingly complex and decentralized landscape.

The IoT is enabling unprecedented insights into granular data collected from trillions of interconnected devices across cities. This is powering machine learning and consequently enabling increasingly complex predictive modeling used for timely and impactful decision-making. Smart Governance systems, due to their inherent complexities and legacy “code,” will require a truly hybrid approach, where all systems must lead to, and over time converge. Predictive analytics and neural networks will empower governance systems to anticipate risks, ensuring continuous improvement and stewardship for citizens. In this way Smart Governance can reach self-regulation through a combination of top-down and bottom-up states in which the awareness and prediction of patterns and trends will optimize system performance. By tapping into collective behavior, the integration of disconnected agencies into a unified platform will enable hyper personalized citizen experiences, bringing about accountability, transparency, and increased trust between governments and citizens (Table 5).

## 有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。