Sep 05 2023 Mastering Artificial Intelligence BaDshaH LEARNING / e-learning - Tutorials 21:25 0 Published 9/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 6.12 GB | Duration: 12h 41mYour Complete Guide to Artificial Intelligence What you'll learnStudents will develop a solid understanding of the definition and historical evolution of AI.Students will see how AI technologies are transforming industries and solving complex problems.Students will explore the responsibilities associated with AI technologies, including topics like bias, fairness, transparency, and privacy.This course will equip students with essential machine learning skills, including supervised learning techniques for prediction and classification.Students will gain a comprehensive understanding of deep learning, including the principles and techniques behind artificial neural networks.Students will learn how feedforward neural networks work and how they can be used for various AI tasks.Students will explore different activation functions used in neural networks and understand their role in modeling complex data.Students will learn how CNNs are used for image recognition and processing.Students will understand how RNNs can be applied to tasks involving sequences, such as natural language processing and time series analysis.Students will engage in a hands-on capstone project. This project will require them to apply the concepts they have learned to solve real-world AI challenges.RequirementsLearners should be comfortable using a computer and common software applications.While not mandatory, a basic understanding of algebra and problem-solving skills can be helpful in grasping some AI and machine learning concepts.Familiarity with programming basics is beneficial, but the course will provide introductory materials for those with limited programming experience.Participants should have access to a computer or laptop with an internet connection to access course materials, online resources, and programming tools.A code editor or integrated development environment (IDE) for Python, such as Jupyter Notebook or Visual Studio Code, is recommended.A modern web browser is necessary for accessing online resources and course materials.The course is designed to be accessible to beginners, and participants will receive guidance and support to help them build the necessary skills and knowledge.Description** Mastering Artificial Intelligence: Your Ultimate Guide to AI **Welcome to Selfcode Academy's comprehensive AI course! Whether you're a beginner or a seasoned tech enthusiast, this program is designed to empower you with the skills and knowledge needed to excel in the exciting world of Artificial Intelligence.Who Can Benefit:Beginners: No prior AI experience required! This course is perfect for those embarking on their AI journey.Students: Whether you're in high school, college, or pursuing graduate studies, this course complements your academic pursuits.Professionals: Looking to boost your career prospects? Transitioning to AI from another field? No problem! This course is tailored for you.Tech Innovators: Entrepreneurs and visionaries, get ready to turn your AI concepts into reality.Data Enthusiasts: If you're passionate about data and want to harness its potential with AI, this course is your gateway.Lifelong Learners: Stay updated with the latest AI advancements and become part of the tech-savvy community.Course Highlights:Module 1: Introduction to AIDefine AI and uncover its fascinating history.Explore AI's impact in healthcare, finance, and various industries.Delve into crucial ethical considerations in AI.Module 2: Machine Learning FundamentalsLearn to make predictions and categorize data through supervised learning.Discover patterns in unlabeled data using unsupervised learning.Evaluate model performance using essential metrics like accuracy, precision, and recall.Module 3: Deep Learning and Neural NetworksGrasp the intricacies of artificial neural networks (ANNs).Dive into feedforward neural networks, activation functions, and their applications.Get hands-on experience with convolutional and recurrent neural networks (CNNs and RNNs).Module 4: Natural Language Processing (NLP)Prepare text data for analysis with advanced preprocessing techniques.Perform sentiment analysis and text classification.Generate coherent text using cutting-edge AI models.Module 5: Computer VisionMaster image processing techniques and feature extraction.Detect objects and segment images effectively.Leverage CNNs for image classification.Module 6: Reinforcement LearningExplore the foundations of reinforcement learning and Markov Decision Processes (MDPs).Implement Q-learning and value iteration algorithms to solve complex problems.Module 7: Capstone ProjectApply your newfound AI expertise to solve real-world challenges.Embark on this thrilling AI adventure with us! Our hands-on projects, clear explanations, and supportive community will boost your confidence to tackle AI challenges and contribute to the future of technology. Start your journey to AI mastery today!* All the resource files are added in video 1 of section 1.OverviewSection 1: 1. Introduction to Artificial IntelligenceLecture 1 Introduction to AILecture 2 History and Types of AILecture 3 Application of AILecture 4 Ethical Considerations in AISection 2: Machine Learning FundamentalsLecture 5 Machine Learning fundamentalsLecture 6 ML Data Pre Processing-Lab sessionLecture 7 Evaluation MetricsLecture 8 Machine Learning Types & Supervised machine learning algorithmsLecture 9 Model Based on Linear Regression- Lab SessionLecture 10 Supervised machine learning algorithmsLecture 11 Comparing Classification AlgorithmsLecture 12 Unsupervised learningLecture 13 K-Means clustering ModelSection 3: Deep learningLecture 14 Deep Learning and Neural Networks IntroductionLecture 15 Deep Learning and Neural Networks Introduction Part-2Lecture 16 Artificial Neural Networks ModelLecture 17 Convolutional neural networksLecture 18 CNN for Image ClassificationLecture 19 Recurrent neural networksLecture 20 RNN Sun Spot ModelSection 4: 4. Natural Language Processing (NLP)Lecture 21 Natural Language Processing IntroductionLecture 22 Text Pre ProcessingLecture 23 Text Pre-processing ModelLecture 24 Sentiment AnalysisLecture 25 Language modeling and generationLecture 26 Sentiment analysis ModelSection 5: Computer VisionLecture 27 Computer Vision IntroductionLecture 28 Image ProcessingLecture 29 Feature ExtractionLecture 30 Object DetectionLecture 31 Image SegmentationLecture 32 Image Segmentation Process & Image ClassificationLecture 33 Face Mask Detection ModelSection 6: Reinforcement LearningLecture 34 Introduction to Reinforcement learningLecture 35 Reinforcement Learning AlgorithmsLecture 36 Reinforcement Learning ModelSection 7: Capstone ProjectLecture 37 Capstone Project -Heart Disease Prediction ModelBeginners in AI: Individuals who are entirely new to the field of AI and want to explore its fundamental concepts and practical applications will benefit from this course. We provide a solid foundation for those with no prior experience.,Students: High school students, college undergraduates, and postgraduates pursuing degrees in computer science, data science, engineering, or related fields can use this course to supplement their academic knowledge and gain hands-on experience in AI.,Professionals Seeking Career Advancement: Working professionals looking to transition into AI-related roles or enhance their existing skill set will find this course valuable. It provides practical insights and hands-on experience applicable to various industries.,Entrepreneurs and Innovators: Individuals interested in creating AI-powered solutions, startups, or tech innovations will gain a strong foundation in AI concepts and techniques to bring their ideas to life.,Data Enthusiasts: Anyone passionate about data analysis, machine learning, or data-driven decision-making can use this course to acquire the skills needed to work with AI and machine learning technologies.,AI Enthusiasts: Those with a general interest in AI, robotics, and automation can satisfy their curiosity by gaining a comprehensive understanding of AI's principles and real-world applications.,Lifelong Learners: Individuals who are lifelong learners eager to explore cutting-edge technologies and stay up-to-date with the latest advancements in AI and machine learning will find this course engaging and informative.,This course is designed to be inclusive, with content structured to accommodate learners at different levels of expertise. 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