Download AI Tutorial for Beginners: Understanding AI, ML, and Deep Learning and more Study notes Artificial Intelligence in PDF only on Docsity!
(https://www.guru99.com/)
What is AI? Artificial Intelligence Tutorial forWhat is AI? Artificial Intelligence Tutorial for
BeginnersBeginners
What is AI?What is AI?
A machine with the ability to perform cognitive functions such as perceiving, learning, reasoning and solve problems are deemed to hold an artificial intelligence.
Artificial intelligence exists when a machine has cognitive ability. The benchmark for AI is the human level concerning reasoning, speech, and vision.
In this basic tutorial, you will learn-
What is AI? Introduction to AI Levels A brief History of Artificial Intelligence Type of Artificial Intelligence Where is AI used? Examples Why is AI booming now?
Introduction to AI LevelsIntroduction to AI Levels
- Narrow AINarrow AI: A artificial intelligence is said to be narrow when the machine can perform a specific task better than a human. The current research of AI is here now
- General AIGeneral AI: An artificial intelligence reaches the general state when it can perform any intellectual task with the same accuracy level as a human would
- Strong AIStrong AI: An AI is strong when it can beat humans in many tasks
Home (/) Testing
SAP Web Must Learn! Big Data
Live Projects AI Blog (/blog/)
Nowadays, AI is used in almost all industries, giving a technological edge to all companies integrating AI at scale. According to McKinsey, AI has the potential to create 600 billions of dollars of value in retail, bring 50 percent more incremental value in banking compared with other analytics techniques. In transport and logistic, the potential revenue jump is 89 percent more.
Concretely, if an organization uses AI for its marketing team, it can automate mundane and repetitive tasks, allowing the sales representative to focus on tasks like relationship building, lead nurturing, etc. A company name Gong provides a conversation intelligence service. Each time a Sales Representative make a phone call, the machine records transcribes and analyzes the chat. The VP can use AI analytics and recommendation to formulate a winning strategy.
In a nutshell, AI provides a cutting-edge technology to deal with complex data which is impossible to handle by a human being. AI automates redundant jobs allowing a worker to focus on the high level, value-added tasks. When AI is implemented at scale, it leads to cost reduction and revenue increase.
A brief History of Artificial IntelligenceA brief History of Artificial Intelligence
Artificial intelligence is a buzzword today, although this term is not new. In 1956, a group of avant-garde experts from di erent backgrounds decided to organize a summer research project on AI. Four bright minds led the project; John McCarthy (Dartmouth College), Marvin Minsky (Harvard University), Nathaniel Rochester (IBM), and Claude Shannon (Bell Telephone Laboratories).
The primary purpose of the research project was to tackle "every aspect of learning or any other feature of intelligence that can in principle be so precisely described, that a machine can be made to simulate it."
The proposal of the summits included
- Automatic Computers
- How Can a Computer Be Programmed to Use a Language?
- Neuron Nets
- Self-improvement
It led to the idea that intelligent computers can be created. A new era began, full of hope - Artificial intelligence.Artificial intelligence.
Type of Artificial IntelligenceType of Artificial Intelligence
AI vs. Machine LearningAI vs. Machine Learning
Most of our smartphone, daily device or even the internet uses Artificial intelligence. Very o en, AI and machine learning are used interchangeably by big companies that want toAI and machine learning are used interchangeably by big companies that want to announce their latest innovation. However, Machine learning and AI are di erent in someannounce their latest innovation. However, Machine learning and AI are di erent in some waysways.
AI- artificial intelligence- is the science of training machines to perform human tasks. The term was invented in the 1950s when scientists began exploring how computers could solve problems on their own.
(/images/tensorflow/082918_0511_WhatisAIArt2.png)
Artificial Intelligence is a computer that is given human-like properties. Take our brain; it works e ortlessly and seamlessly to calculate the world around us. Artificial Intelligence is the concept that a computer can do the same. It can be said that AI is the large science that mimics human aptitudes.
Machine learning is a distinct subset of AI that trains a machine how to learn. Machine learning models look for patterns in data and try to conclude. In a nutshell, the machine does not need to be explicitly programmed by people. The programmers give some
examples, and the computer is going to learn what to do from those samples.
Where is AI used? ExamplesWhere is AI used? Examples
AI has broad applications-
Artificial intelligence is used to reduce or avoid the repetitive task. For instance, AI can repeat a task continuously, without fatigue. In fact, AI never rests, and it is indi erent to the task to carry out Artificial intelligence improves an existing product. Before the age of machine learning, core products were building upon hard-code rule. Firms introduced artificial intelligence to enhance the functionality of the product rather than starting from scratch to design new products. You can think of a Facebook image. A few years ago, you had to tag your friends manually. Nowadays, with the help of AI, Facebook gives you a friend's recommendation.
AI is used in all the industries, from marketing to supply chain, finance, food-processing sector. According to a McKinsey survey, financial services and high tech communication are leading the AI fields.
(/images/tensorflow/082918_0511_WhatisAIArt3.png)
Why is AI booming now?Why is AI booming now?
For instance, with an NVIDIA TITAN X, it takes two days to train a model called ImageNetImageNet against weeks for a traditional CPU. Besides, big companies use clusters of GPU to train deep learning model with the NVIDIA Tesla K80 because it helps to reduce the data center cost and provide better performances.
(/images/tensorflow/082918_0511_WhatisAIArt5.png)
DataData
Deep learning is the structure of the model, and the data is the fluid to make it alive. Data powers the artificial intelligence. Without data, nothing can be done. Latest Technologies have pushed the boundaries of data storage. It is easier than ever to store a high amount of data in a data center.
Internet revolution makes data collection and distribution available to feed machine learning algorithm. If you are familiar with Flickr, Instagram or any other app with images, you can guess their AI potential. There are millions of pictures with tags available on these websites. Those pictures can be used to train a neural network model to recognize an object on the picture without the need to manually collect and label the data.
Artificial Intelligence combined with data is the new gold. Data is a unique competitive advantage that no firm should neglect. AI provides the best answers from your data. When all the firms can have the same technologies, the one with data will have a competitive advantage over the other. To give an idea, the world creates about 2.2 exabytes, or 2.2 billion gigabytes, every day.
A company needs exceptionally diverse data sources to be able to find the patterns and learn and in a substantial volume.
(/images/tensorflow/082918_0511_WhatisAIArt6.png)
AlgorithmAlgorithm
Hardware is more powerful than ever, data is easily accessible, but one thing that makes the neural network more reliable is the development of more accurate algorithms. Primary neural networks are a simple multiplication matrix without in-depth statistical properties. Since 2010, remarkable discoveries have been made to improve the neural network
Artificial intelligence uses a progressive learning algorithm to let the data do the programming. It means, the computer can teach itself how to perform di erent tasks, like finding anomalies, become a chatbot.
SummarySummary
Artificial intelligence and machine learning are two confusing terms. Artificial intelligence is the science of training machine to imitate or reproduce human task. A scientist can use di erent methods to train a machine. At the beginning of the AI's ages, programmers wrote hard-coded programs, that is, type every logical possibility the machine can face and how to respond. When a system grows complex, it becomes di icult to manage the rules. To overcome this issue, the machine can use data to learn how to take care of all the situations from a given environment.
The most important features to have a powerful AI is to have enough data with considerable heterogeneity. For example, a machine can learn di erent languages as long as it has enough words to learn from.
AI is the new cutting-edge technology. Ventures capitalist are investing billions of dollars in startups or AI project. McKinsey estimates AI can boost every industry by at least a double- digit growth rate.
AI TutorialAI Tutorial
- What is AI? (/artificial-intelligence-tutorial.html)
- What is Machine Learning? (/machine-learning-tutorial.html)
- Deep learning Tutorial (/deep-learning-tutorial.html)
- Machine Learning vs Deep Learning (/machine-learning-vs-deep-learning.html)
- Supervised Machine Learning (/supervised-machine-learning.html)
- Unsupervised Machine Learning (/unsupervised-machine-learning.html)
- Supervised vs Unsupervised Learning (/supervised-vs-unsupervised-learning.html)
- Back Propagation Neural Network (/backpropogation-neural-network.html)
- Deep Learning Libraries (/deep-learning-libraries.html)
- Fuzzy Logic Tutorial (/what-is-fuzzy-logic.html)
- AI & Machine Learning Books (/ai-machine-learning-books.html)
(https://www.facebook.com/guru99com/)
(https://twitter.com/guru99com)
(https://www.youtube.com/channel/UC19i1XD6k88KqHlET8atqFQ)
(https://forms.aweber.com/form/46/724807646.htm)
AboutAbout
About Us (/about-us.html) Advertise with Us (/advertise-us.html) Write For Us (/become-an-instructor.html) Contact Us (/contact-us.html)
Career SuggestionCareer Suggestion
SAP Career Suggestion Tool (/best-sap-module.html) So ware Testing as a Career (/so ware-testing-career- complete-guide.html) Certificates (/certificate-it-professional.html)
InterestingInteresting
Books to Read! (/books.html) Blog (/blog/) Quiz (/tests.html) eBook (/ebook-pdf.html)
Execute onlineExecute online
