Developer: | StudyZoom (33) | ||
Price: | * Free | ||
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Description
🚀 What’s Inside:
📘 Unit 1: Introduction to Machine Learning
• What is Machine Learning
• Well-posed Learning Problems
• Designing a Learning System
• Perspectives and Issues in Machine Learning
📘 Unit 2: Concept Learning and General-to-Specific Ordering
• Concept Learning as Search
• FIND-S Algorithm
• Version Space
• Inductive Bias
📘 Unit 3: Decision Tree Learning
• Decision Tree Representation
• ID3 Algorithm
• Entropy and Information Gain
• Overfitting and Pruning
📘 Unit 4: Artificial Neural Networks
• Perceptron Algorithm
• Multilayer Networks
• Backpropagation
• Issues in Network Design
📘 Unit 5: Evaluating Hypotheses
• Motivation
• Estimating Hypothesis Accuracy
• Confidence Intervals
• Comparing Learning Algorithms
📘 Unit 6: Bayesian Learning
• Bayes’ Theorem
• Maximum Likelihood and MAP
• Naive Bayes Classifier
• Bayesian Belief Networks
📘 Unit 7: Computational Learning Theory
• Probably Approximately Correct (PAC) Learning
• Sample Complexity
• VC Dimension
• Mistake Bound Model
📘 Unit 8: Instance-Based Learning
• K-Nearest Neighbor Algorithm
• Case-Based Reasoning
• Locally Weighted Regression
• Curse of Dimensionality
📘 Unit 9: Genetic Algorithms
• Hypothesis Space Search
• Genetic Operators
• Fitness Functions
• Applications of Genetic Algorithms
📘 Unit 10: Learning Sets of Rules
• Sequential Covering Algorithms
• Rule Post-Pruning
• Learning First-Order Rules
• Learning Using Prolog-EBG
📘 Unit 11: Analytical Learning
• Explanation-Based Learning (EBL)
• Inductive-Analytical Learning
• Relevance Information
• Operationality
📘 Unit 12: Combining Inductive and Analytical Learning
• Inductive Logic Programming (ILP)
• FOIL Algorithm
• Combining Explanation and Observation
• Applications of ILP
📘 Unit 13: Reinforcement Learning
• The Learning Task
• Q-Learning
• Temporal Difference Methods
• Exploration Strategies
🔍 Key Features:
• Structured syllabus with topic-wise breakdown
• Includes syllabus books, MCQs, and quizzes for comprehensive learning
• Bookmark feature for easy navigation and quick access
• Supports horizontal and landscape view for enhanced usability
• Ideal for BSc, MSc, and competitive exam preparation
• Lightweight design and easy navigation
Whether you're a beginner or aiming to enhance your ML knowledge, this app is your perfect companion for academic and career success.
📥 Download now and begin your journey into Machine Learning mastery!
Screenshots










What's new
- Version: 1.0
- Updated:
- 🚀 What’s New in Machine Learning App v1.0
• ✨ User interface with clean and intuitive design
• 🔖 Added bookmark feature for easy access to important topics
• 📱 Supports horizontal and landscape views for flexible studying
• 📚 Complete syllabus content, MCQs, and quizzes for better learning
• ⚡ Faster performance and smoother navigation
Perfect for students and professionals aiming to master Machine Learning. Download now and upgrade your study experience!
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- Today: Free
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- Maximum: Free
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Developer
- StudyZoom
- Platforms: Android Apps (33)
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Additional Information
- Version: 1.0
- ID: com.malab.machinelearning
- Category:
Android Apps
›Education
- OS:
Android 7.0
- Size:
24 Mb
- Content Rating:
Everyone
- Google Play Rating:
0
- Updated:
- Release Date:
Contacts
- Website:
https://h8f561cd7.app-ads-txt.com
«Machine Learning» is a Education app for Android, developed by «StudyZoom». It was first released on and last updated on . This app is currently free. This app has not yet received any ratings or reviews on AppAgg. AppAgg continuously tracks the price history, ratings, and user feedback for «Machine Learning». Subscribe to this app or follow its RSS feed to get notified about future discounts or updates.
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