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Quantization Theory for Neural Networks

Quantization Theory for Neural Networks

A mathematically rigorous exploration of quantization for large neural networks, focusing on numerical representations, error propagation, and the theoretical limits of precision reduction. This course emphasizes the underlying numerical analysis, stability trade-offs, and information loss inherent in quantizing deep models.

course

R for Biologists and Bioinformatics

R for Biologists and Bioinformatics

A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.

course

R for Financial Analysts

R for Financial Analysts

Learn to analyze financial data in R: work with time series, compute returns, assess risk, analyze portfolios, and visualize and forecast market data using practical, code-driven examples.

course

R for Mathematicians

R for Mathematicians

Master mathematical computation in R: express vectors, matrices, and mathematical structures in code, apply numerical methods, and solve equations and optimization problems with mathematical rigor.

course

R for Statisticians

R for Statisticians

Master rigorous statistical analysis in R: probability, inference, ANOVA, regression, simulation, and interpretation. Emphasizes statistical reasoning, uncertainty, and correct conclusions using R as a computational tool.

course

React Data Visualization with Chart.js

React Data Visualization with Chart.js

Learn how to build modern, interactive, and visually engaging data visualizations in React using Chart.js. Explore integrating Chart.js with React, creating popular chart types, handling dynamic data, customizing chart appearance, and building real-world dashboards.

course

React Forms with React Hook Form

React Forms with React Hook Form

Manage forms in React applications using React Hook Form. Learn core concepts, validation techniques, error handling patterns, and dynamic form structures that scale. Integrate forms with UI component libraries and apply performance optimizations to build reliable, user friendly form experiences.

course

React Query Essentials

React Query Essentials

Master data fetching, caching, and synchronization in React applications using React Query. Learn to efficiently manage server state, handle background updates, and optimize user experience with powerful React Query features.

course

Redis Intermediate Concepts

Redis Intermediate Concepts

Dive deeper into Redis by exploring its internal mechanisms, advanced data structures, and scaling strategies. This course is designed for learners who already understand the basics and want to master Redis for more complex, high-performance applications.

course

Reinforcement Learning from Human Feedback Theory

Reinforcement Learning from Human Feedback Theory

A rigorous, theory-driven exploration of RLHF: formalizing human preferences, reward modeling, optimization dynamics, and the alignment risks inherent to learning from human feedback.

course

Reproducing Kernel Hilbert Spaces Theory

Reproducing Kernel Hilbert Spaces Theory

A rigorous exploration of Reproducing Kernel Hilbert Spaces, focusing on kernel-induced inner products, functional analytic structure, and foundational links to modern machine learning. Emphasizes definitions, theorems, proofs, and geometric intuition.

course

Resilience Patterns in Spring

Resilience Patterns in Spring

Learn how to build robust and fault-tolerant Spring applications by mastering key resilience patterns such as retries, circuit breakers, fallback strategies, timeouts, and bulkheads. This beginner-friendly course blends clear explanations with practical examples and hands-on exercises.

course

Rule-Based Machine Learning Systems

Rule-Based Machine Learning Systems

Master the principles and practical skills of building, interpreting, and applying rule-based machine learning systems for transparent, explainable AI on tabular data. Learn to construct, prune, and evaluate rule models, and combine them with standard ML approaches for interpretable solutions.

course

SQL for Business Intelligence Analysts

SQL for Business Intelligence Analysts

Master SQL from the ground up with a focus on business intelligence. Learn to write powerful queries for KPIs, implement business logic, analyze trends with window functions, design data models for BI tools, and apply reporting patterns. Each section blends engaging theory with hands-on, real-world challenges to prepare you for BI analyst roles.

course

SQL for Finance and Accounting

SQL for Finance and Accounting

Master SQL essentials for finance and accounting by learning to analyze time-series data, perform period-over-period comparisons, execute ledger-style joins, ensure data accuracy, and understand transaction logic. This course is designed for absolute beginners and uses real-world finance scenarios to make learning engaging and practical.
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Career tracks

track
lockOnly for Ultimate
track image

Web Development with C#

laptop10 Courses
list439 Tasks

Beginner

4.7
(3427)
track
lockOnly for Ultimate
track image

Python from Zero to Hero

laptop6 Courses
list215 Tasks

Beginner

4.6
(12820)
track
lockOnly for Ultimate
track image

SQL from Zero to Hero

laptop7 Courses
list249 Tasks

Beginner

4.7
(3624)
track
lockOnly for Ultimate
track image

Π‘++ Essentials

laptop6 Courses
list124 Tasks

Beginner

4.3
(1084)
track
lockOnly for Ultimate
track image

Game Development with Unity

laptop4 Courses
list164 Tasks

Beginner

4.4
(217)
track
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Only for Ultimate

Web Development with C#

laptop10 Courses
list439 Tasks
4.7
track
track image
For Ultimate

Only for Ultimate

Python from Zero to Hero

laptop6 Courses
list215 Tasks
4.6
track
track image
For Ultimate

Only for Ultimate

SQL from Zero to Hero

laptop7 Courses
list249 Tasks
4.7
track
track image
For Ultimate

Only for Ultimate

Π‘++ Essentials

laptop6 Courses
list124 Tasks
4.3
track
track image
For Ultimate

Only for Ultimate

Game Development with Unity

laptop4 Courses
list164 Tasks
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Courses & Projects

Technologies

course

Quantization Theory for Neural Networks

Quantization Theory for Neural Networks

A mathematically rigorous exploration of quantization for large neural networks, focusing on numerical representations, error propagation, and the theoretical limits of precision reduction. This course emphasizes the underlying numerical analysis, stability trade-offs, and information loss inherent in quantizing deep models.

course

R for Biologists and Bioinformatics

R for Biologists and Bioinformatics

A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.

course

R for Financial Analysts

R for Financial Analysts

Learn to analyze financial data in R: work with time series, compute returns, assess risk, analyze portfolios, and visualize and forecast market data using practical, code-driven examples.

course

R for Mathematicians

R for Mathematicians

Master mathematical computation in R: express vectors, matrices, and mathematical structures in code, apply numerical methods, and solve equations and optimization problems with mathematical rigor.

course

R for Statisticians

R for Statisticians

Master rigorous statistical analysis in R: probability, inference, ANOVA, regression, simulation, and interpretation. Emphasizes statistical reasoning, uncertainty, and correct conclusions using R as a computational tool.

course

React Data Visualization with Chart.js

React Data Visualization with Chart.js

Learn how to build modern, interactive, and visually engaging data visualizations in React using Chart.js. Explore integrating Chart.js with React, creating popular chart types, handling dynamic data, customizing chart appearance, and building real-world dashboards.

course

React Forms with React Hook Form

React Forms with React Hook Form

Manage forms in React applications using React Hook Form. Learn core concepts, validation techniques, error handling patterns, and dynamic form structures that scale. Integrate forms with UI component libraries and apply performance optimizations to build reliable, user friendly form experiences.

course

React Query Essentials

React Query Essentials

Master data fetching, caching, and synchronization in React applications using React Query. Learn to efficiently manage server state, handle background updates, and optimize user experience with powerful React Query features.

course

Redis Intermediate Concepts

Redis Intermediate Concepts

Dive deeper into Redis by exploring its internal mechanisms, advanced data structures, and scaling strategies. This course is designed for learners who already understand the basics and want to master Redis for more complex, high-performance applications.

course

Reinforcement Learning from Human Feedback Theory

Reinforcement Learning from Human Feedback Theory

A rigorous, theory-driven exploration of RLHF: formalizing human preferences, reward modeling, optimization dynamics, and the alignment risks inherent to learning from human feedback.

course

Reproducing Kernel Hilbert Spaces Theory

Reproducing Kernel Hilbert Spaces Theory

A rigorous exploration of Reproducing Kernel Hilbert Spaces, focusing on kernel-induced inner products, functional analytic structure, and foundational links to modern machine learning. Emphasizes definitions, theorems, proofs, and geometric intuition.

course

Resilience Patterns in Spring

Resilience Patterns in Spring

Learn how to build robust and fault-tolerant Spring applications by mastering key resilience patterns such as retries, circuit breakers, fallback strategies, timeouts, and bulkheads. This beginner-friendly course blends clear explanations with practical examples and hands-on exercises.

course

Rule-Based Machine Learning Systems

Rule-Based Machine Learning Systems

Master the principles and practical skills of building, interpreting, and applying rule-based machine learning systems for transparent, explainable AI on tabular data. Learn to construct, prune, and evaluate rule models, and combine them with standard ML approaches for interpretable solutions.

course

SQL for Business Intelligence Analysts

SQL for Business Intelligence Analysts

Master SQL from the ground up with a focus on business intelligence. Learn to write powerful queries for KPIs, implement business logic, analyze trends with window functions, design data models for BI tools, and apply reporting patterns. Each section blends engaging theory with hands-on, real-world challenges to prepare you for BI analyst roles.

course

SQL for Finance and Accounting

SQL for Finance and Accounting

Master SQL essentials for finance and accounting by learning to analyze time-series data, perform period-over-period comparisons, execute ledger-style joins, ensure data accuracy, and understand transaction logic. This course is designed for absolute beginners and uses real-world finance scenarios to make learning engaging and practical.

course

Quantization Theory for Neural Networks

Quantization Theory for Neural Networks

A mathematically rigorous exploration of quantization for large neural networks, focusing on numerical representations, error propagation, and the theoretical limits of precision reduction. This course emphasizes the underlying numerical analysis, stability trade-offs, and information loss inherent in quantizing deep models.

course

R for Biologists and Bioinformatics

R for Biologists and Bioinformatics

A hands-on introduction to R programming tailored for biologists and bioinformaticians. Learn to analyze, visualize, and interpret biological data using R, with real-world examples from genomics, ecology, and experimental biology.

course

R for Financial Analysts

R for Financial Analysts

Learn to analyze financial data in R: work with time series, compute returns, assess risk, analyze portfolios, and visualize and forecast market data using practical, code-driven examples.

course

R for Mathematicians

R for Mathematicians

Master mathematical computation in R: express vectors, matrices, and mathematical structures in code, apply numerical methods, and solve equations and optimization problems with mathematical rigor.

course

R for Statisticians

R for Statisticians

Master rigorous statistical analysis in R: probability, inference, ANOVA, regression, simulation, and interpretation. Emphasizes statistical reasoning, uncertainty, and correct conclusions using R as a computational tool.

course

React Data Visualization with Chart.js

React Data Visualization with Chart.js

Learn how to build modern, interactive, and visually engaging data visualizations in React using Chart.js. Explore integrating Chart.js with React, creating popular chart types, handling dynamic data, customizing chart appearance, and building real-world dashboards.

course

React Forms with React Hook Form

React Forms with React Hook Form

Manage forms in React applications using React Hook Form. Learn core concepts, validation techniques, error handling patterns, and dynamic form structures that scale. Integrate forms with UI component libraries and apply performance optimizations to build reliable, user friendly form experiences.

course

React Query Essentials

React Query Essentials

Master data fetching, caching, and synchronization in React applications using React Query. Learn to efficiently manage server state, handle background updates, and optimize user experience with powerful React Query features.

course

Redis Intermediate Concepts

Redis Intermediate Concepts

Dive deeper into Redis by exploring its internal mechanisms, advanced data structures, and scaling strategies. This course is designed for learners who already understand the basics and want to master Redis for more complex, high-performance applications.

course

Reinforcement Learning from Human Feedback Theory

Reinforcement Learning from Human Feedback Theory

A rigorous, theory-driven exploration of RLHF: formalizing human preferences, reward modeling, optimization dynamics, and the alignment risks inherent to learning from human feedback.

course

Reproducing Kernel Hilbert Spaces Theory

Reproducing Kernel Hilbert Spaces Theory

A rigorous exploration of Reproducing Kernel Hilbert Spaces, focusing on kernel-induced inner products, functional analytic structure, and foundational links to modern machine learning. Emphasizes definitions, theorems, proofs, and geometric intuition.

course

Resilience Patterns in Spring

Resilience Patterns in Spring

Learn how to build robust and fault-tolerant Spring applications by mastering key resilience patterns such as retries, circuit breakers, fallback strategies, timeouts, and bulkheads. This beginner-friendly course blends clear explanations with practical examples and hands-on exercises.

course

Rule-Based Machine Learning Systems

Rule-Based Machine Learning Systems

Master the principles and practical skills of building, interpreting, and applying rule-based machine learning systems for transparent, explainable AI on tabular data. Learn to construct, prune, and evaluate rule models, and combine them with standard ML approaches for interpretable solutions.

course

SQL for Business Intelligence Analysts

SQL for Business Intelligence Analysts

Master SQL from the ground up with a focus on business intelligence. Learn to write powerful queries for KPIs, implement business logic, analyze trends with window functions, design data models for BI tools, and apply reporting patterns. Each section blends engaging theory with hands-on, real-world challenges to prepare you for BI analyst roles.

course

SQL for Finance and Accounting

SQL for Finance and Accounting

Master SQL essentials for finance and accounting by learning to analyze time-series data, perform period-over-period comparisons, execute ledger-style joins, ensure data accuracy, and understand transaction logic. This course is designed for absolute beginners and uses real-world finance scenarios to make learning engaging and practical.
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