机器学习硬件条件_机器学习的先决条件

男娘i 2022-12-07 12:58 110阅读 0赞

![89f22a6a8684f99fbb38b53caa9617d9.png][]

机器学习硬件条件

Machine Learning has rightly become one of the most popular technologies around and according to [Artificial Intelligence (AI)][Artificial Intelligence _AI] researchers, every single thing ranging from our food, to our jobs, to the software we write will be affected by it. And if you are a beginner looking to build a career in this field, it’s necessary that you understand the prerequisites for [Machine Learning][]. But this knowledge about prerequisites for Machine Learning is not only for freshers in the field but also for anyone who owns or is looking to start a business! Confused?

根据[人工智能(AI)][Artificial Intelligence _AI]研究人员的说法，机器学习正确地成为最受欢迎的技术之一，从我们的食物，工作到编写的软件，每件事都会受到它的影响。 而且，如果您是初学者，希望在该领域发展职业，则必须了解[机器学习][Machine Learning]的先决条件。 但是，有关机器学习先决条件的知识不仅适用于该领域的新手，而且适用于拥有或打算开展业务的任何人！ 困惑？

Well, If businesses don’t understand the importance of Machine Learning soon enough, they will experience a world of trouble. In the future, the emergence of Machine Learning will be hailed as a very significant milestone. Machine Learning, which is a part of AI, enables computers to learn from data without being explicitly programmed. And today, Machine Learning has established itself as the key to unlocking the value of customer data.

好吧，如果企业没有足够快地了解机器学习的重要性，那么他们将遇到很多麻烦。 未来，机器学习的出现将被誉为一个非常重要的里程碑。 机器学习是AI的一部分，它使计算机无需显式编程即可从数据中学习。 如今，机器学习已将自身确立为释放客户数据价值的关键。

Facebook’s ability to recognize our faces, Netflix’s movie recommendations, Google’s self-driving cars are early examples of Machine Learning solutions. Given the large untapped potential of this innovation, creating a strategic roadmap can serve well in building Machine Learning capabilities that will definitely help in creating value for your business.

Facebook识别我们面Kong的能力，Netflix的电影推荐，Google的自动驾驶汽车都是机器学习解决方案的早期例子。 考虑到这项创新的巨大潜力，制定战略路线图可以很好地构建机器学习功能，这些功能肯定会为您的业务创造价值。

In order to [get started with Machine Learning][], you require to have little knowledge of the mathematical concepts. Except for the necessary programming efficiency, you also need to be familiar with the basic mathematical theories to fully understand how algorithms function in the background. Here’s the list of some principal topics you need to understand before you engage yourself in machine learning.

为了[开始使用机器学习][get started with Machine Learning] ，您需要对数学概念了解很少。 除了必要的编程效率外，您还需要熟悉基本的数学理论以充分了解算法在后台的工作方式。 这是您从事机器学习之前需要了解的一些主要主题的列表。

This article will help you with the different concepts that you need to know before you get started with Machine Learning.

本文将帮助您了解开始使用机器学习之前需要了解的不同概念。

## 机器学习的先决条件 **(**Prerequisites For Machine Learning**)** ##

![Prerequisite For Machine Learning][]

Firstly, you must grasp the following concepts:

首先，您必须掌握以下概念：

1.  Basic Mathematics
    
    基础数学
2.  Statistics
    
    统计
3.  Probability
    
    可能性
4.  Linear Algebra
    
    线性代数
5.  Data Modeling
    
    资料建模
6.  Calculus
    
    结石
7.  Programming Languages
    
    编程语言

Let’s dig right in.

让我们继续深入。

### 基础数学 **(**Basic Mathematics**)** ###

The prime importance of Maths in Machine Learning can’t be exaggerated, yet the extent of its usefulness depends upon a particular project. Beginners don’t need to grasp it in-depth because you only need to learn the implementation of the algorithms using the given tools.

不能夸大数学在机器学习中的首要重要性，但是其实用性的程度取决于特定的项目。 初学者不需要深入了解它，因为您只需要学习使用给定工具的算法实现即可。

It would be difficult to understand the working of algorithms without proper knowledge about multivariable calculus or linear algebra. And if you desire to make a career in Machine Learning, then you will at some point have to build algorithms yourself. Hence, linear algebra, and multivariable calculus are very important.

没有多变量演算或线性代数的适当知识，将很难理解算法的工作。 而且，如果您希望从事机器学习事业，那么您将不得不自己构建算法。 因此，线性代数和多变量演算非常重要。

### 统计 **(**Statistics**)** ###

Statistics deals with applied mathematics concerned with data collection, analysis, interpretation, and presentation. Machine Learning algorithms are hugely based on statistics. Therefore, it will help you to have some knowledge of statistical theory, like Bayes rule, independence, among others. Statistics uses tools that are used to get an outcome from data. The descriptive statistics that is used to transform raw data into important information. Then there is inferential statistics that is used to get important information from a data sample instead of using a complete dataset.

统计学处理与数据收集，分析，解释和表示有关的应用数学。 机器学习算法很大程度上基于统计数据。 因此，它将帮助您掌握一些统计理论知识，例如贝叶斯规则，独立性等。 统计使用的工具可用于从数据中获取结果。 用于将原始数据转换为重要信息的描述性统计信息。 然后是推论统计，该推论统计用于从数据样本中获取重要信息，而不是使用完整的数据集。

### 可能性 **(**Probability**)** ###

Probability and Statistics are related fields. Probability is a mathematical method employed for statistical analysis. Hence we can say that probability and statistics are interconnected branches that deal with analysing the relative frequency of events. It is the ratio of desired outcomes to total outcomes:

概率和统计是相关领域。 概率是用于统计分析的数学方法。 因此，可以说概率和统计是相互联系的分支，用于分析事件的相对频率。 它是期望结果与总结果的比率：

Desired Outcomes / Total Outcomes

期望的结果/总结果

It is important to learn probability before diving into Machine Learning because it helps in predicting the likelihood of the occurrences. Therefore, in Machine Learning, probability lays a solid foundation.

在涉足机器学习之前了解概率很重要，因为它有助于预测发生的可能性。 因此，在机器学习中，概率奠定了坚实的基础。

### 线性代数 **(**Linear Algebra**)** ###

Linear algebra deals with vector operations, linear transformations, and matrices. Linear Algebra holds a significant position when it comes to Machine Learning because it can be used to perform operations or transform the dataset.

线性代数处理向量运算，线性变换和矩阵。 线性代数在机器学习方面占有重要地位，因为它可用于执行操作或转换数据集。

### 资料建模 **(**Data Modeling**)** ###

It is the process of estimating the structure of a data set. It is used to find out patterns or variations within the set. Major chunk of Machine Learning is usually built on predictive modeling, and therefore with Data Modeling, you would know how to predict different properties of the data. Sometimes, iterative learning algorithms result in magnifying the errors in the set and the model, therefore knowledge of data modeling becomes necessary.

这是估计数据集结构的过程。 它用于找出集合中的模式或变化。 机器学习的主要部分通常建立在预测建模的基础上，因此，借助数据建模，您将知道如何预测数据的不同属性。 有时，迭代学习算法会导致集合和模型中的错误放大，因此需要数据建模知识。

### 结石 **(**Calculus**)** ###

Calculus is one of the most significant fields in mathematics as it plays an integral role in many Machine Learning algorithms. Calculus plays an important role in building the Machine Learning Model. Often people working on bleeding edge tools employ calculus, linear algebra, and advanced math routinely in their work.

微积分是数学中最重要的领域之一，因为它在许多机器学习算法中都扮演着不可或缺的角色。 微积分在构建机器学习模型中起着重要作用。 通常，使用前沿工具的人们在工作中会定期使用微积分，线性代数和高级数学。

### 程式语言 **(**Programming Language**)** ###

Before getting into Machine Learning, it is essential that you know programming languages like [R and Python][] in order to implement the whole process. Python and R provide built-in libraries making it easy to implement Machine Learning algorithms. Apart from basic programming knowledge, it is also imperative that you learn how to extract, process and analyze data. Programming Languages is the one of primary skills needed for Machine Learning.

在进入机器学习之前，必须了解[R和Python之][R and Python]类的编程语言才能实现整个过程。 Python和R提供了内置库，可轻松实现机器学习算法。 除了基本的编程知识，还必须学习如何提取，处理和分析数据。 编程语言是机器学习所需的主要技能之一。

## 机器学习如何影响业务 **(**How Machine Learning Can Influence Business**)** ##

![How Machine Learning Can Influence Business][]

Given that the large potential of Machine Learning is still untapped, the following shows different ways in which Machine Learning can benefit a business:

鉴于尚未充分利用机器学习的巨大潜力，以下内容显示了机器学习可以使企业受益的不同方式：

**1. Customization of a User’s Experience**

**1.定制用户体验**

Everything a person sees can be customized for them. It can even anticipate their needs and behaviors in advance and include personalized recommendations for products or services.

一个人看到的一切都可以为他们定制。 它甚至可以提前预测他们的需求和行为，并包括针对产品或服务的个性化建议。

**2. Identify Trends, Predict and Estimate on Large Scale**

**2.识别趋势，进行大规模预测和估计**

Machine Learning can identify trends in data well before humans. It can also be used in making predictions that otherwise might require great level of expertise like pricing a home or make impossible predictions such as which content will do well on social media.

机器学习可以比人类早发现数据趋势。 它也可以用于做出预测，否则可能需要大量专业知识，例如为房屋定价或做出不可能的预测(例如哪些内容在社交媒体上效果很好)。

**3. Visually Identify Objects and Tailor Experiences Accordingly**

**3.目视识别对象并相应地定制体验**

Objects can be identified visually through photos, videos which can be used to automate a customer’s experience accordingly.

可以通过照片和视频直观地识别物体，从而可以相应地自动实现客户的体验。

**4. Detect Unusual Activity or System Failure**

**4.检测异常活动或系统故障**

Machine Learning can not just detect when an issue arises, but also recognize whether that issue is unusual or alarming. This can be very useful in monitoring and security systems.

机器学习不仅可以检测问题何时发生，还可以识别该问题是异常还是令人震惊。 这在监视和安全系统中非常有用。

## 机器学习如何使企业受益 **(**How Machine Learning Benefit Businesses**)** ##

**1. Help in Expansion Of Business**

**1.帮助扩展业务**

The right data can help you recognize new business opportunities and create new products and services for your customers.

正确的数据可以帮助您识别新的商机并为客户创建新的产品和服务。

**2. Enhanced User Experience**

**2.增强的用户体验**

Machine Learning quickly and efficiently help you find products and services that will most likely to be relevant for your users. This is bound to enhance the user experience and make your business a profitable one.

机器学习可以快速有效地帮助您找到最可能与您的用户相关的产品和服务。 这势必会增强用户体验，并使您的业务盈利。

**3. Help Make Informed Business Decisions**

**3.帮助制定明智的业务决策**

Machine Learning can save your time and money by making your investments more effective through scientific methods

机器学习可以通过科学的方法使投资更有效，从而节省您的时间和金钱

### 从哪里开始？ **(**Where To Begin?**)** ###

The very first step would be of hiring the right talent for the job. And better still you can any day outsource all this to a team that can actually make this all work for you and help you meet your business objectives.

第一步将是为该工作雇用合适的人才。 更好的是，您可以随时将所有这些工作外包给一个团队，该团队实际上可以为您服务，并帮助您实现业务目标。

**Web Development Services:**

**网站开发服务：**

You can hire a [Web Development company][] that can fulfill all your requirements related to business website. Look for a company that can handle the building of all kinds of static or dynamic, responsive or an e-commerce site.

您可以聘请一家可以满足您与商务网站有关的所有要求的[Web开发公司][Web Development company] 。 寻找一家可以处理各种静态或动态，响应式或电子商务站点构建的公司。

**App Development Services:**

**应用开发服务：**

To cater to your App Development needs hire a team of professional app developers who can build a perfect mobile app as per your business requirements and demands. Look for a team that can build professional mobile applications for all platforms including iOS and Android.

为了满足您的应用程序开发需求，请雇用专业的应用程序开发人员团队，他们可以根据您的业务需求和需求构建完美的移动应用程序。 寻找一个可以为所有平台(包括iOS和Android)构建专业移动应用程序的团队。

**Chatbot Services:**

**聊天机器人服务：**

A chatbot can help any business increase its reach and traffic. It is a virtual assistant that can be integrated within an app, website or messenger. Hire a team of professionals who have in the past successfully built several such conversational agents and is willing to design an exclusive Chatbot which incorporates all your personal business needs.

聊天机器人可以帮助任何企业增加其覆盖范围和流量。 它是一个虚拟助手，可以集成在应用程序，网站或Messenger中。 雇用一支过去成功建立了多个此类对话代理的专业团队，并愿意设计一个满足您所有个人业务需求的独家聊天机器人。

**Growth Hacking:**

**成长骇客：**

For a successful enterprise, it is important that your business organization makes growth in the right direction. And a team of professional growth hackers can help in your company’s growth through their various strategies and methodologies that can help you maximize your ROI in a short period of time.

对于成功的企业而言，业务组织朝着正确的方向发展很重要。 一支专业的成长型黑客团队可以通过其各种策略和方法来帮助您公司的发展，这些策略和方法可以帮助您在短时间内最大程度地提高ROI。

**Conclusion**

**结论**

Machine Learning is already here and it is safe to say that it is going to be our future. The sooner you integrate this technology into your business the better. Moreover, solving business problems with Machine Learning is easier than most people think. Machine Learning is the key to unlocking remarkable business value and develop a long-term competitive advantage for your business.

机器学习已经来了，可以肯定地说它将成为我们的未来。 您越早将这项技术集成到您的业务中越好。 此外，使用机器学习解决业务问题比大多数人想象的要容易。 机器学习是释放卓越业务价值并为您的业务开发长期竞争优势的关键。

> 翻译自: [https://www.thecrazyprogrammer.com/2019/09/prerequisites-for-machine-learning.html][https_www.thecrazyprogrammer.com_2019_09_prerequisites-for-machine-learning.html]

机器学习硬件条件

[89f22a6a8684f99fbb38b53caa9617d9.png]: /images/20221123/f144ae7089bd46beac22093c0aa2950e.png
[Artificial Intelligence _AI]: https://www.thecrazyprogrammer.com/2018/01/introduction-artificial-intelligence.html
[Machine Learning]: https://www.thecrazyprogrammer.com/2017/11/introduction-machine-learning.html
[get started with Machine Learning]: https://hackr.io/tutorials/learn-machine-learning-ml
[Prerequisite For Machine Learning]: /images/20221123/b98f4f07f5e04a4c858cb1f9aed6da16.png
[R and Python]: https://www.thecrazyprogrammer.com/2019/04/r-vs-python-for-machine-learning.html
[How Machine Learning Can Influence Business]: /images/20221123/90473bca7e3e4c90817e28a6903d089c.png
[Web Development company]: https://squareboat.com/services/web-development
[https_www.thecrazyprogrammer.com_2019_09_prerequisites-for-machine-learning.html]: https://www.thecrazyprogrammer.com/2019/09/prerequisites-for-machine-learning.html