Herkes İçin Yapay Zeka ve Yapay Zeka Algoritmaları from Udemy

2011’de Dünya teknolojik olarak yeni bir alana evrildi. Endüstri 4.0 ile hayatımıza teknoloji entegre oldu. Bu teknolojiler bulut teknolojisi, makina öğrenmesi, kripto paralar, nesnelerin interneti… Saydığımız ve sayamadığımız bu teknolojilerin merkezinde Artık bütün cihazları akıllı olarak geliştirmek ve kullanmak çağımız için elzem bir ihtiyaçtır. Sizde eğer teknolojiyi tüketen değil üreten olmak istiyor ve geleceğe şimdiden yön vermek istiyorsanız doğru kurstasınız. Unutmayın ki temeli sağlam olmayan herşey çökmeye mahkumdur. Sizde teknolojilerin temeli olarak görülen yapay zekayı ve algoritmaların mantalitesini kavrayarak bütün teknolojileri yeniden keşfedin.

Kurs ile Öğrenecekleriniz

1) Yapay zekada başyapıt olan "Artificial Intelligence: A Modern Approach" kitabından dersleri küresel ölçüde öğrenebileceksiniz.

2) Yapacağınız sınavlar ile kendi yeterliliğinizi test etme imkanını yakalayacaksınız.

3) Prolog programlama dili derslerinde onlarca örnek yaparak programlamanın mantalitesini kavrayacaksınız.

4) Derslerin dokümantasyonuna erişim sağlayarak sürekli öğrenme yetkinliğine sahip olacaksınız.

Kurs İçeriği

· What is Artificial Intelligence(AI)

· Solving Problem by Searching

· Informed Search and Exploration

· Games

· Logical Agent

· First Order Logic

· Prolog

· Neural Networks

· Genetic Algorithm

· Fuzzy Logic

What's inside

Syllabus

Motivasyon

Geçmişten Günümüze Yapay Zeka

Yazılım ve Programlama Nedir?

What is Artificial Intelligence(AI)

Thinking-Acting

Environments Types

Solving Problem by Searching

Tree Graph

BFS-UCS-DFS-DLS

Informed Search and Exploration

Greedy-A* Search

Recursive Search

Games

Logical Agent

Wumpus World

Logic

Conjuctive Normal Form

Forward-Backward Chaining

Ek Kaynak

First Order Logic

EXAM

Prolog

Facts-Rules-Queries

Unification-Proof Tree

Recursion

Neural Networks

Activation Function-Percetron

Multilayer NN-Back Propagation

Genetic Algorithm-Fuzzy Logic

Genetic Algorithm

Fuzzy Logic

Bonus

Python:Corona Virüs Veri Analizi ile Yapay Zeka için Python

İndirim Kuponu

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines core concepts from Artificial Intelligence: A Modern Approach, which is standard in artificial intelligence

Teaches recursive programming, which is a core skill for computer science

Explores the histories of artificial intelligence, which is essential for contextualizing the field

Covers machine learning, which is highly relevant to industry

Implements methodologies using the popular programming language Prolog, which is essential for programming in the field of artificial intelligence

Requires familiarity with basic computer science concepts, which may be a barrier to entry for some

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Herkes İçin Yapay Zeka ve Yapay Zeka Algoritmaları with these activities:

Çalışma Grubu Etkinliği

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Diğer öğrencilerle çalışma grupları oluşturarak yapay zeka kavramlarını tartışabilir ve birbirinizden öğrenebilirsiniz.

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Bir çalışma grubu bulun veya oluşturun.
Tartışma konuları belirleyin ve gündemler hazırlayın.
Çevrimiçi araçları veya yüz yüze toplantıları kullanarak düzenli olarak bir araya gelin.

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Career center

Learners who complete Herkes İçin Yapay Zeka ve Yapay Zeka Algoritmaları will develop knowledge and skills that may be useful to these careers:

Speech Recognition Engineer

Speech Recognition Engineers develop and implement speech recognition solutions for a variety of industries and applications. This course can help build a foundation in AI concepts and algorithms, which is essential for success in this role. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic. This knowledge would be particularly valuable for Speech Recognition Engineers who want to work on developing new speech recognition algorithms or applications.

See salaries and explore the career path for Speech Recognition Engineer

Machine Learning Engineer

Machine Learning Engineers design and implement machine learning models to solve a variety of problems. This course can help build a foundation in AI concepts and algorithms, which is essential for success in this role. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic. This knowledge would be particularly valuable for Machine Learning Engineers who want to work on developing new machine learning models or applications.

See salaries and explore the career path for Machine Learning Engineer

Natural Language Processing Engineer

Natural Language Processing Engineers develop and implement NLP solutions for a variety of industries and applications. This course can help build a foundation in AI concepts and algorithms, which is essential for success in this role. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic. This knowledge would be particularly valuable for NLP Engineers who want to work on developing new NLP algorithms or applications.

See salaries and explore the career path for Natural Language Processing Engineer

Artificial Intelligence Researcher

Artificial Intelligence Researchers develop new AI algorithms and applications. This course can help build a foundation in AI concepts and algorithms, which is essential for success in this role. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

See salaries and explore the career path for Artificial Intelligence Researcher

Artificial Intelligence Engineer

Artificial Intelligence Engineers work on developing and implementing AI solutions for a variety of industries and applications. This course can help build a foundation in AI concepts and algorithms, which is essential for success in this role. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic. This knowledge would be particularly valuable for AI Engineers who want to work on developing new AI algorithms or applications.

See salaries and explore the career path for Artificial Intelligence Engineer

Computer Vision Engineer

Computer Vision Engineers develop and implement computer vision solutions for a variety of industries and applications. This course can help build a foundation in AI concepts and algorithms, which is essential for success in this role. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic. This knowledge would be particularly valuable for Computer Vision Engineers who want to work on developing new computer vision algorithms or applications.

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Data Scientist

Data Scientists use data to solve problems and make informed decisions. This course can help build a foundation in AI concepts and algorithms, which can be helpful for Data Scientists who want to develop or use AI techniques in their work. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

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Computer Scientist

Computer Scientists research and develop new computing technologies. This course can help build a foundation in AI concepts and algorithms, which can be helpful for Computer Scientists who want to work on developing new AI algorithms or applications. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

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Market Research Analyst

Market Research Analysts use data to help businesses understand their customers and make better decisions. This course can help build a foundation in AI concepts and algorithms, which can be helpful for Market Research Analysts who want to use AI techniques in their work. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

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Robotics Engineer

Robotics Engineers design, build, and maintain robots. This course can help build a foundation in AI concepts and algorithms, which can be helpful for Robotics Engineers who want to develop or use AI techniques in their work. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

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Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. This course can help build a foundation in AI concepts and algorithms, which can be helpful for Business Intelligence Analysts who want to develop or use AI techniques in their work. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

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Financial Analyst

Financial Analysts use financial data to help businesses make investment decisions. This course can help build a foundation in AI concepts and algorithms, which can be helpful for Financial Analysts who want to use AI techniques in their work. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

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Data Analyst

Data Analysts use data to help businesses make better decisions. This course can help build a foundation in AI concepts and algorithms, which can be helpful for Data Analysts who want to use AI techniques in their work. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course can help build a foundation in AI concepts and algorithms, which can be helpful for Software Engineers who want to develop or use AI techniques in their work. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve problems in a variety of industries. This course can help build a foundation in AI concepts and algorithms, which can be helpful for Operations Research Analysts who want to use AI techniques in their work. The course covers topics such as problem solving by searching, informed search and exploration, games, logical agents, first order logic, Prolog, neural networks, genetic algorithms, and fuzzy logic.

See salaries and explore the career path for Operations Research Analyst