我想学习人工智能和机器学习,我可以从哪里开始呢(三)
2022-11-12 龟兔赛跑 4290
正文翻译

I want to learn artificial intelligence and machine learning. Where can I start?

我想学习人工智能和机器学习,我可以从哪里开始呢?

评论翻译
SOWMYA SM
Learning in-depth about any field becomes very easy because of the globalization of knowledge. This also comprises the field of Artificial Intelligence (AI) and Machine Learning (ML). The field of Artificial Intelligence and Machine Learning is always changing and evolving. There is always the question that arises how can I start learning AI and Machine Learning? So, here are the most effective methods for learning AI and Machine Learning:
E-books
Reading books is the most basic and conventional method of learning about any subject, particularly AI and machine learning. There are numerous e-books accessible, including
Artificial Intelligence: A Modern Approach: It is one of the best AI books for beginners. Most people consider this book for learning AI.
Machine Learning: The New AI: It provides a brief introduction to machine learning. It outlines the development of the field, as well as essential learning methods and examples of applications.
An Introduction to Statistical Learning: This book introduces statistical learning and shows how to employ cutting-edge statistical and machine-learning algorithms in a simple and clear manner.
Artificial Intelligence: The Basics: This book includes a comprehensive introduction of various AI elements as well as numerous implementation strategies.

由于知识的全球化,深入学习任何领域都变得非常容易。这也包括人工智能(AI)和机器学习(ML)领域。人工智能和机器学习领域一直在变化和发展。不过这个问题总是存在,那就是我如何开始学习人工智能和机器学习?因此,以下是学习人工智能和机器学习的最有效方法:
电子书
阅读书籍是学习任何学科的最基本和最传统的方法,尤其是人工智能和机器学习。有许多电子书可以访问,包括:
《人工智能:现代方法》:它是初学者最好的人工智能书籍之一。大多数人认为这本书是为了学习人工智能的。
《机器学习:新人工智能》:它简要介绍了机器学习。它概述了该领域的发展,以及基本的学习方法和应用实例。
《统计学习简介》:这本书介绍了统计学习,并展示了如何以简单明了的方式使用前沿的统计和机器学习算法。
《人工智能》:基础知识:本书全面介绍了各种人工智能元素以及众多实施策略。

Websites and Blogs
The website and blogs are vital learning tools that also display a wide range of practical skills and experiences. Among the most famous blogs and websites are Kdnuggets, OpenAI, Kaggle, the DataCamp, and many others.
Online Resources
The greatest method to learn AI & ML from the base is through online training. Here are some resources to help you learn about AI and Machine Learning:
IgmGuru: IgmGuru provides one of the best AI & machine learning courses across the world. Career seekers can have a great career option with the help of an IgmGuru trainer, machine learning tutorial, and certification. Learners will have numerous high-paying possibilities by opting igmGuru’s machine learning program. Each session concludes with assignments and activities. You will also work on a variety of industry-specific projects to enhance your abilities.

网站和博客
网站和博客是重要的学习工具,也展示了广泛的实用技能和经验。最著名的博客和网站包括Kdnuggets、OpenAI、Kaggle、DataCamp等。
网络资源
为学习人工智能和机器学习打基础的最好方法是通过在线培训。以下是一些资源,可帮助了解人工智能和机器学习:
IgmGuru平台:IgmGuru提供世界上最好的人工智能和机器学习课程之一。在IgmGuru培训师、机器学习教程和认证的帮助下,求职者可以有很好的职业选择。通过选择igmGuru的机器学习程序,学习者将有许多高薪的可能性。每节课都以作业和活动结束。你还将参与各种行业特定项目,以增强你的能力。

Udacity: You can understand the fundamentals of AI and its expanding business applications. It has a four-month expected completion time and counts toward their machine learning specialization program, which includes a machine learning certification for individuals who desire to pursue it.
Coursera: Andrew Ng is a former Baidu chief scientist. He is also co-founder of Coursera, and one of the most well-known personalities in the fields of artificial intelligence and machine learning. Here, the artificial intelligence and machine learning course comprises eleven weeks of learning, videos per week, & five to eight readings.
Google: It offers machine learning classes for free. You must have a basic understanding of math fundamentals. There is no requirement for computer science knowledge. You will easily learn & understand the fundamentals of machine learning & AI by opting for this course.
The benefits of these methods include easy learning. These useful resources can serve as a starting point for learning Artificial Intelligence and Machine Learning. If you want to enter the field of new technology, IgmGuru's Machine Learning and AI courses can help you get started.

Udacity平台:你可以了解人工智能的基本原理及其不断扩展的商业应用。它有四个月的预期完成时间,并计入他们的机器学习专业化计划,该计划包括一个机器学习认证,供希望学习的个人使用。
Coursera平台:吴恩达是前百度首席科学家。他还是Coursera的联合创始人,也是人工智能和机器学习领域最知名的人物之一。在这里,人工智能和机器学习课程包括11周的学习、每周视频和5到8篇阅读材料。
谷歌平台:它免费提供机器学习课程。你必须对数学基础有基本的了解。对计算机科学知识没有要求。选择本课程,将轻松学习和理解机器学习和人工智能的基础知识。
这些方法的好处包括易于学习。这些有用的资源可以作为学习人工智能和机器学习的起点。如果你想进入新技术领域,IgmGuru平台的机器学习和人工智能课程可以帮助你入门。

Sumit Mehta
I would suggest the Machine Learning and Deep Learning LIVE Course .
Some unique features of this course are:
Project-Based Learning
If you are learning an advanced technology like Machine Learning, it is important to sext a course having a lot of projects. This course has a lot of real-world projects to help you understand the topics better.
Flexible Course
You can complete the course along with your studies or job. It is very flexible. It can be taken from home at your pace and time.
Expert Teachers
Their teachers are highly skilled (BTech or above) and have worked in good companies for many years.

我建议学习机器学习和深度学习LIVE课程。
本课程的一些独特之处包括:
基于项目的学习
如果你正在学习像机器学习这样的先进技术,选择一门有很多项目的课程是很重要的。本课程有很多真实世界的项目,可以帮助你更好地理解主题。
灵活的课程
你可以在学习或工作的同时完成课程。它非常灵活。你可以按照你的节奏和时间进行。
专家教师
他们的老师技术精湛(学士技术或以上),在好公司工作多年。

Placement Support
Coding Elements offers Placement Support. Many students are successfully placed in outstanding companies. They provide Career Counselling, Interview Preparation, and other career services.
4-Year access
You have four years to complete the course.
Live TA Support
Dedicated TAs Provide Live Support. TAs are there to provide doubt resolution and assistance with advanced topics. This makes it an interactive course.
Machine Learning is a new field, and there is a lot of requirement for trained professionals. This field provides a lot of career options like Research Scientist, Machine Learning Engineer, NLP Scientist, etc.

就业支持
Coding Elements平台提供就业支持。许多学生成功地进入了优秀的公司。他们提供职业咨询、面试准备和其他职业服务。
4年的访问权限
你有四年时间完成这门课程。
实时助教支持
专用助教提供实时支持。助教在那里提供疑问解决和高级主题的帮助。这使它成为一门互动课程。
机器学习是一个新领域,对训练有素的专业人员有很多要求。该领域提供了许多职业选择,如研究科学家、机器学习工程师、自然语言处理科学家等。

Dani Richard
The future is AI and ML. What should I do? Should I learn coding, AI, or ML?
Having lived thought the previous “AI Boom” followed by an “AI Winter”, I am laughing.
I remember all the AI Experts, Knowledge Engineers, and LISP programmers have their special place in the work place.
Then they were suddenly be without work and their LISP machines being sold as excess and the LISP machine companies going bankrupt or become only a software company.
All those AI Experts, Knowledge Engineers, and LISP programmers had to cross train to the jobs that were available.
I would suggest you get your “Computer Science” degree.
Do study probability, statistics, linear algebra, combinatorics , and other math. The mathematic foundations of computer science are useful and important not only in AI and ML but other areas as well.
Do take some courses in AI and ML. Please do learn LISP, Prolog, and Machine Learning. Do understand what they can do.
But also study and master the rest of the Computer Science curriculum.

未来是人工智能和机器学习时代,我该怎么办?我应该学习编码、人工智能还是机器学习?
在经历了之前的“人工智能热潮”之后的“人工智能冬季”之后,我笑了。
我记得所有的人工智能专家、知识工程师和LISP语言程的序员在工作场所都有自己的特殊位置。
然后,他们突然失业了,他们的LISP语言机器被过度出售,LISP语言机器公司破产或沦为软件公司。
所有这些人工智能专家、知识工程师和LISP语言方面的程序员都必须接受交叉培训,才能胜任现有的工作。
我建议你拿到“计算机科学”学位。
学习概率、统计学、线性代数、组合学和其他数学。计算机科学的数学基础不仅在人工智能和机器学习领域,而且在其他领域都是有用和重要的。
请参加一些人工智能和机器学习课程。请学习LISP和Prolog语言和机器学习,不过一定要了解他们能做什么。
但也要学习和掌握计算机科学课程的其余部分。

Gajanand
Why does everyone need to learn AI and machine learning?
Well, I wouldn’t say that everybody should learn Artificial Intelligence, but since Artificial Intelligence is in top ten Skills in demand in today's world, If one can learn Artificial Intelligence of at least know the basics of how it functions, It would be so easy to understand how to coordinate and work with artificial intelligence
Here are some areas where AI has begun to take over, and hence if you wish to stay for longer in these industries, you will have to be upxed with what and how AI works!

为什么每个人都需要学习人工智能和机器学习?
好吧,我不会说每个人都应该学习人工智能,但由于人工智能是当今世界最需要的十大技能之一,如果一个人能够学习人工智能至少知道它如何运作的基本知识,那么就很容易理解如何协调和使用人工智能
以下是人工智能开始接管的一些领域,因此,如果你想在这些行业呆更长时间,你必须了解人工智能的工作原理和方式!
原创翻译:龙腾网 http://www.ltaaa.cn 转载请注明出处


1. Artificial Intelligence in Healthcare industry:
We are now in a digital age where everything could be implemented with the help of technology and the Internet. Nowadays we get to see that a doctor can monitor and diagnose a patient from a remote location. This has reduced the necessity of being in person. Image the same way where the patient's health condition is checked against predefined medications and algorithms prescribing a solution to the doctor. This would be a great success in the entire Healthcare industry.
The current healthcare industry is completely dependant on the doctor’s sole knowledge and no supporting decision-making system is available to advise the treatments or the medication. It is completely coming up from the Doctor’s experience and decision.
Imagine a condition where all the patient vitals and health records are pre-analyzed and a personalized treatment plan is produced for the doctor to review will change the entire treatment process.

1.医疗保健行业的人工智能:
我们现在处于一个数字时代,在这个时代,一切都可以借助技术和互联网来实现。如今,我们看到医生可以通过远程方式监测和诊断患者。这减少了亲身体验的必要性。想象一下,患者的健康状况是根据预先定义的药物和算法检查的,这些药物和算法为医生开出了解决方案。这将是整个医疗保健行业的巨大成功。
当前的医疗保健行业完全依赖于医生的唯一知识,没有支持性的决策系统来建议治疗或药物。这完全取决于医生的经验和决定。
想象一下,如果预先分析了所有患者的生命体征和健康记录,并制定了个性化的治疗计划供医生审查,那么整个治疗过程就会发生变化。

2. Artificial Intelligence In Mobile World:
The smartphone nowadays is not only considered as a communication device anymore it can be called as your digital wallet and much more than that, but even we can also classify them as your personal assistants.
Well, speaking about personal assistants, it is worth mentioning about “Siri”. It is one of the best examples of proper utilization of Artificial Intelligence and Machine learning. So based on your habits and interests “Siri” will be able to answer all your questions and provide valuable suggestions. This is already happening and this is the start of the next wave of technology utilization.
We have seen days where mobile devices didn’t have touchscreens and now we are in a digital age where the majority of the devices are touch screens. The next age of mobiles will be working on the voice commands .
This change will be huge and it will completely change the way people are using their mobile phones at the moment.

2.移动世界中的人工智能:
如今,智能手机不仅被视为一种通信设备,它还可以被称为你的数字钱包,甚至更多,甚至我们还可以将其归类为你的个人助理。
说到私人助理,值得一提的是“Siri”。这是正确利用人工智能和机器学习的最好例子之一。因此,基于你的习惯和兴趣,“Siri”将能够回答您的所有问题并提供有价值的建议。这已经在发生,这是下一波技术利用的开始。
我们曾经见过移动设备没有触摸屏的日子,现在我们正处于一个数字时代,大多数设备都是触摸屏。手机的下一个时代将是使用语音命令。
这一变化将是巨大的,它将彻底改变人们目前使用手机的方式。

3. Artificial Intelligence in the Automobile Industry:
If you are upxed with the latest technology happenings then you wouldn’t have missed this at all. The concept of self-driving cars and autopilot features are in the news lately and big players like “Google” and “Tesla” are already in this arena.
Have you ever imagined that you will be travelling in a car which doesn’t need a driver to take you from point A to point B Well, this is not at all a dream anymore, a lot of test runs have gone through were the concept cars going to hit the road soon. This is definitely going to be the future in the automobile industry. A lot more research and development needs to
happen within this area as we have to consider the safety and security aspect of the passengers.
Well, we have to just wait and watch what is going to happen.

3.汽车行业的人工智能:
如果你更新了最新的技术,那么你根本不会错过这一点。自动驾驶汽车和自动驾驶功能的概念最近在新闻中出现,像“谷歌”和“特斯拉”这样的大玩家已经在这个舞台上了。
你有没有想过,从a点带到B点你会乘坐一辆不需要司机的汽车出行?这已经不是梦了,如果概念车很快就要上路,那么已经进行了很多测试。这绝对是汽车行业的未来。还有更多的研究和开发需要做,因为我们必须考虑乘客的安全保障问题。
好吧,我们只能等着看会发生什么。

4. Artificial Intelligence in Retail industry:
This is going to be a huge game-changer for all the retail companies because if they understand the purchase pattern and the requirements of their customers, they will definitely have to tailor their process to be the market leader. The concept comes into the picture when the buying patterns are analyzed and understands the needs of the customer.
The retail industry can gain huge profits by properly analyzing the customer needs vs buying the pattern and based on the consumption if the system could suggest:
* Relevant coupons
* Promote discounted offerings
* Targeted marketing
* Stocking the warehouses etc.
All of these subprocesses with definitely be improved and to be honest it will help the customer a lot.
As of now, we are going towards a clash where the businesses are legally obligated that they are invading individual privacy by closely uating their buying pattern and the products that they buy.
In certain parts of the world, Amazon has started an offer called “Pantry” where they can sext a few products as essentials and they are automatically delivered to you on a periodic basis. Well, this is a perfect example for introducing Artificial Intelligence into the process where a better operational and stocking activities are carried out.

4.零售业的人工智能:
这对所有零售公司来说都将是一个巨大的游戏规则改变者,因为如果他们了解购买模式和客户的要求,他们肯定必须调整自己的流程,成为市场领导者。当分析购买模式并了解客户需求时,概念就出现了。
零售业可以通过正确分析客户需求与购买模式并基于消费来获得巨大利润,如果系统可以建议:
*相关优惠券
*推广折扣产品
*有针对性的营销
*储存仓库等。
所有这些子流程都肯定会得到改进,老实说,这将给客户带来很大帮助。
就目前而言,我们正在走向一场冲突,企业在法律上有义务密切评估消费者的购买模式和购买的产品,从而侵犯了个人隐私。
在世界某些地区,亚马逊推出了一个名为“食品储藏室”的服务,他们可以选择一些产品作为必需品,并定期自动交付给你。好吧,这是一个完美的例子,可以将人工智能引入到更好的经营和库存活动的过程中。
原创翻译:龙腾网 http://www.ltaaa.cn 转载请注明出处


5. Artificial Intelligence in Fraud Detection:
The fraud detection activity monitoring systems are actually a boom to the humankind where their money is protected by uating the transactions that they make.
Have you ever received an email or a text message from your bank confirming the recent transaction activity was actually made by you or was it someone else who got hold of your card. Well, most of this transaction monitoring is carried out by the fraud detection team which is powered by AI.
The transaction patterns of the individual, the usual withdrawal amount from the ATM and the frequency of the account logins. All of this data is stored and analyzed for suspicious activity. For example: if you have never used your ATM card for years and all of a sudden you have started withdrawing money from your card then this would be definitely flagged as a fraud alx by the system.
So the AI algorithms are developed by considering different scenarios and situations which will ultimately alx the users to be cautious about their belongings. The same technique can be expanded and further used in other industries as well.

5人工智能在欺诈检测中的应用:
欺诈检测活动监控系统实际上是人类迅速繁荣后,通过评估他们所做的交易来保护他们的资金。
你是否收到过银行发来的电子邮件或短信,确认最近的交易活动实际上是否是由你进行的,或者是其他人持有你的卡。大部分交易监控都是由由人工智能支持的欺诈检测团队执行的。
个人的交易模式、ATM的通常取款金额和账户登录频率。所有这些数据都会被存储和分析,以发现可疑活动。例如:如果你多年来从未使用过你的ATM卡,并且突然开始从你的卡中取款,那么这肯定会被系统标记为欺诈警报。
因此,AI算法是通过考虑不同的场景和情况而开发的,最终会提醒用户对自己的物品保持谨慎。同样的技术也可以扩展并进一步应用于其他行业。

6. Artificial Intelligence in Online Customer Support
Nowadays every business has a website for sure because it has been a need vs a luxury. With the rapid use of smartphones and the internet, it has been evident that most of the customers are tending to get information via online interactions rather than phone interactions.
So most of the websites have an online chat system which responds to your queries.
Do you think that a real human is responding back to your queries all the time?
Well, not all the time. To make sure the business is live and active 24/7 days businesses are opting for automated bots which actually does the same job as of a human.
The responses are based on the content available on the website and the same is fed back to the customer based on his or her request. Well, this process is gaining more and more acceptance and the underlying logic is also going through a makeover where it can accommodate more requests and provide more accurate information.
All of this is happening because of the rapid development of Natural Language Processing (NLP).

6.在线客户支持中的人工智能
如今,每个企业都有一个网站,因为这是一种需要,而不是奢侈品。随着智能手机和互联网的迅速使用,很明显,大多数客户倾向于通过在线互动而不是电话互动来获取信息。
因此,大多数网站都有一个在线聊天系统,可以响应你的查询。
你认为一个真正的人类会一直对你的疑问做出回应吗?
嗯,不是一直都这样。为了确保业务是活跃的,企业选择自动化机器人,实际上做的工作与人类一样
响应基于网站上的可用内容,并根据客户的请求将其反馈给客户。嗯,这个过程越来越被接受,底层逻辑也在经历一次改造,它可以容纳更多的请求并提供更准确的信息。
所有这些都是由于自然语言处理(NLP)的快速发展而发生的。

7. Artificial Intelligence in Security Surveillance:
Safety and security are important aspects and the basic needs of an individual or for an organization. The surveillance setup, i.e. security cameras monitoring important areas of the business is definitely a better idea. But watching too many screens for a very long time will be a boring job and ultimately we lose the option of attending the emergencies when there is a need.
So what if there are predefined algorithms that are fed into the security cameras and make them more powerful. Based on the surveillance and the activities the system would be able to analyze and let us know whether the situation is actually a threat or not. If it is a threat then it would immediately alx the human security officials associated with the business.
If this sort of technology advancements are available right now then it would have made a positive impact on the security of the individuals and operationally the situation will be handled more efficiently.

7.人工智能在安全监控中的应用:
安全和安保是个人或组织的重要方面和基本需求。监控设置,即监控重要业务领域的安全摄像头,绝对是一个更好的主意。但长时间看太多屏幕将是一项枯燥的工作,最终当有需要时,我们失去了参与紧急情况的选择。
所以,如果有预定义的算法被输入到安全摄像头中,并使其更强大呢。基于监视和活动,系统将能够分析并让我们知道情况是否真的是威胁。如果这是一种威胁,那么它会立即通知与企业相关的人力安全官员。
如果这种技术进步现在可用,那么它将对个人的安全产生积极影响,并在操作上更有效地处理这种情况。

8. Artificial Intelligence in Music and Movie Recommendation services:
Who doesn’t like watching movies and listening to music right?
What if your next song or movie is recommended to you by a system based on your interests and browsing history?
This would be pretty cool right!!!
Well, they are already a few mobile applications that understand your choice of music and movies and recommend the same genre as a suggestion. This has been a massive success in terms of sales and promotions of various brands because the target market is available for the brands.
The ads that you have seen on your browsers are also based on your previous activities. All of your activities are analyzed and a chain of recommendations are provided.
With the help of the recommendations, it will definitely help the individuals to explore new options.

8.音乐和电影推荐服务中的人工智能:
谁不喜欢看电影和听音乐?
如果系统根据你的兴趣和浏览历史向你推荐下一首歌曲或电影呢?
这太酷了!!!
嗯,它们已经是一些移动应用程序,可以理解你对音乐和电影的选择,并推荐相同的类型作为建议。这在各种品牌的销售和促销方面取得了巨大成功,因为目标市场可供品牌使用。
你在浏览器上看到的广告也基于以前的活动:分析你的所有活动,并提供一系列建议。
在这些建议的帮助下,它肯定会帮助个人探索新的选择。

9. Artificial Intelligence in Smart Home Devices:
Based on your preferences what if your home environment is changed from time to time. Wondering whether this is possible or not?
Well, it is definitely possible. In the past few years, we have seen a lot of smart devices coming up in the market which works in line with our preferences. So basically based on your preferred patterns, the lighting in the house and temperature of the refrigerator and other household devices can definitely be monitored and eventually project optimum utilization settings as well. All of this is happening because of underlying machine learning and Artificial Intelligence built into these devices.

9.人工智能在智能家居设备中的应用:
根据你的偏好,如果你的家庭环境不时发生变化,该怎么办。想知道这是否可能?
嗯,这绝对是可能的。在过去的几年里,我们看到市场上出现了许多符合我们偏好的智能设备。因此,基本上根据你的偏好模式,可以监控室内的照明、冰箱和其他家用设备的温度,并最终规划最佳利用设置。所有这些都是因为这些设备内置的底层机器学习和人工智能。

10. Artificial Intelligence in responding to your emails:
If you have been using Gmail’s latest mobile application then responding to your emails would have been really easy and also exciting. So based on your email content, a predefined answer are already pre-populated as tags for you while responding back to the email.
The latest version of the Gmail mobile application has drastically reduced the turnaround time in terms of responding to an email back. So the mobile applications are uating the emails now and giving us appropriate suggestions while writing back to the sender.

10.人工智能回复你的电子邮件:
如果你一直在使用Gmail最新的移动应用程序,那么回复你的电子邮件会非常容易,也很令人兴奋。因此,根据莫的电子邮件内容,在回复电子邮件时,预定义的答案已预先填充为标签。
Gmail移动应用程序的最新版本大幅缩短了回复电子邮件的周转时间。因此,移动应用程序现在正在评估电子邮件,并在给发件人回信时给我们适当的建议。

Well, the possibilities are limitless and more importantly endless. So we got to wait for the future and see how it is going to affect human interventions.
The above list is a general observation of how Artificial Intelligence is already taking up its baby steps and improving the current processes. Well, the limitations are endless and one needs to understand to what extent it can be helpful.
Involving and rebuilding the process by implementing Artificial Intelligence and Machine learning will be definitely the future and it makes sense to build the skill in this arena. A lot of possibilities are available where the implementations are not specific to the industry but this can be generalized.
these were some of the Industries where AI has entered, I know this does not completely justify why everybody should learn AI. but yes it does give us an indication that we should least know the basics of AI and machine learning

嗯,可能性是无限的,更重要的是无限的。因此,我们必须等待未来,看看它将如何影响人类干预。
以上列表是对人工智能如何开始其初级阶段并改进当前流程的总体观察。好吧,限制是无穷的,我们需要了解它在多大程度上有帮助。
通过实施人工智能和机器学习来参与和重建过程无疑是未来,在这个领域培养技能是有意义的。在实现不特定于行业的情况下,有很多可能性,但这可以概括。
这些是人工智能进入的一些行业,我知道这并不能完全证明为什么每个人都应该学习人工智能。但是它确实告诉我们,我们至少应该了解人工智能和机器学习的基础知识。

很赞 0
收藏