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Artificial Intelligence Algorithms
Rating: 4.4 out of 5(38 ratings)
913 students

Artificial Intelligence Algorithms

"Unlocking the Power of AI: Learn Essential Techniques, Applications, and Ethical Frameworks to Navigate the Future of I
Created byIIBM Institute of Business Management
Last updated 9/2024
English
English [Auto],

What you'll learn

  • Fundamental AI concepts and terminology.
  • Machine learning algorithms and their applications.
  • Data analysis and preprocessing techniques.
  • Ethical considerations and societal impacts of AI.

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Course content

1 section • 5 lectures • 1h 59m total length

  • Introduction26:32

    Explore the history and core concepts of artificial intelligence, including machine learning, deep learning, and neural networks. Understand data science and supervised, unsupervised, and reinforcement learning shaping today’s AI applications.

  • Computer-Vision-opencv-part2-face_detection55:47

    Explore image processing and analytics, including image representation, feature extractors like hue and edge histograms, haar-like classifiers, and object recognition techniques such as Viola-Jones.

  • Natural Language Processing Introduction16:15

    Explore natural language processing and turning unstructured text data into insights. Learn preprocessing techniques like tokenization, lemmatization, stopwords, tf-idf, unigrams and bigrams, and applications like sentiment analysis and spam detection.

  • NLP Basics- Strings in Python12:41

    Learn how Python strings work, including indexing from zero and negative indexing, slicing with start end and step, and using len to measure length while iterating over strings.

  • NLP-TFIDF Vectorizer8:31

    Learn how tf-idf vectorization weights words by term frequency and inverse document frequency to improve text representation over bag-of-words, using scikit-learn's TfidfVectorizer.

Requirements

  • Basic Programming Knowledge: Familiarity with Python or another programming language.
  • Mathematics Skills: Understanding of linear algebra, calculus, and statistics.
  • Introductory Computer Science: Knowledge of data structures and algorithms.
  • Problem-Solving Ability: Strong analytical and critical thinking skills.

Description

This Artificial Intelligence course offers a comprehensive exploration of the fundamental principles and techniques that underpin AI technologies. Designed for students and professionals alike, the curriculum covers key concepts such as machine learning, deep learning, and natural language processing. Participants will gain hands-on experience with popular AI frameworks and tools, enabling them to develop and implement their own AI projects.

Throughout the course, students will learn to preprocess and analyze data, apply various machine learning algorithms, and understand the workings of neural networks. The course will also delve into practical applications of AI in industries like healthcare, finance, and robotics, illustrating how these technologies are transforming the modern landscape.

A significant focus will be placed on the ethical implications of AI, exploring issues such as bias, privacy, and the impact of automation on employment. Students will engage in discussions and case studies to critically assess the role of AI in society.

By the end of the course, participants will be equipped with the knowledge and skills necessary to navigate the rapidly evolving field of artificial intelligence, preparing them for further study or careers in this dynamic area. Join us to unlock the potential of AI and its transformative power in our world.


Who this course is for:

  • This course is for students, professionals, and enthusiasts interested in AI, machine learning, data science, and ethical technology applications.

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