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Astronomy: Exploring Time and Space
Inglés empresarial: ventas, gestión y liderazgo
AI and Big Data in Global Health Improvement
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Explore logistic regression in machine learning and neural networks, covering key concepts and applications for binary classification problems.
Learn simple and multiple linear regression techniques for machine learning and neural networks, covering key concepts and practical applications.
Explore training and testing data concepts in machine learning and neural networks, enhancing your understanding of model evaluation and performance optimization.
Explore data preprocessing techniques for machine learning: handling missing data, normalization, standardization, and binarization. Enhance your ML and neural network skills.
Explore Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) models, understanding their architecture, applications, and advantages in sequence data processing and prediction tasks.
Explore Convolutional Neural Networks (CNN) in machine learning, understanding their architecture and applications in image processing and computer vision.
Comprehensive Hindi tutorial covering DBMS fundamentals, including ER diagrams, normalization, SQL, and concurrency control. Ideal for engineering students seeking in-depth database knowledge.
Comprehensive Hindi tutorial covering essential data structures: arrays, linked lists, stacks, queues, trees, heaps, graphs, and hashing. Ideal for mastering fundamental concepts efficiently.
Comprehensive Hindi tutorial covering all phases of compiler design, from lexical analysis to code generation, with practical examples and in-depth explanations.
Comprehensive overview of discrete mathematics concepts, including set theory, logic, graph theory, and number theory, explained in Hindi for engineering students.
Comprehensive Hindi guide covering ML fundamentals, supervised/unsupervised learning, reinforcement, ensemble methods, neural networks, and genetic algorithms for exam preparation.
एक व्यापक हिंदी कार्यक्रम जो कृत्रिम बुद्धिमत्ता के मूल सिद्धांतों और तकनीकों को कवर करता है, जिसमें एजेंट्स, फज़ी लॉजिक, समस्या समाधान, और मशीन लर्निंग शामिल हैं।
Comprehensive Hindi tutorial covering Python fundamentals to advanced topics, including variables, data structures, loops, functions, file handling, and object-oriented programming.
Comprehensive guide to Object-Oriented Programming concepts, covering C++ basics, classes, inheritance, polymorphism, and more. Ideal for semester exam preparation, with free notes included.
Comprehensive digital electronics guide covering number systems, Boolean algebra, logic gates, and circuit design. Ideal for Hindi-speaking learners seeking in-depth understanding.
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