Development > Data Science
Test Course
£39.99 £12.99
Master Machine Learning with 450+ Practice Questions
What you will learn:
- Statistical Learning Framework
- Empirical Minimization Framework
- PAC Learning
- Version Spaces
- Find-S Algorithm
- Candidate Elimination Algorithm
- VC-Dimension
- Fundamental Theorem of PAC Learning
- Linear Regression
- Linear Regression-Cost Function and Gradient Descent
- Multivariate Linear Regression
- Gradient Descent for Multiple Variables
- Polynomial Regression
- Logistic Regression
- Hypothesis Representation
- Logistic Regression-Decision Boundary-Cost Function and Gradient Descent-Advanced Optimization-Multiple Classification
- Ensemble Learning
- Error Correcting Output Codes
- Boosting Weak Learnability
- Adaboost Algorithm
- Stacking
- Gradient Descent Algorithm
- Subgradient Descent
- Stochastic Gradient Descent
- SGD Variants
- Kernels
- Kernels Trick
- Support Vector Machines
- Large Margin Intuitions
- Margin and Hard SVM
- Soft SVM and Norm Regularization
- Optimality Conditions and Support Vectors
- Implementing Soft SVM and SGD
- Decision Trees
- Decision Tree Pruning
- Classification Tree
- Regression Trees
- Random Forest Algorithm
- K-Nearest Neighbor Algorithm
- Nearest Neighbor Analysis
- Naive-Bayes Algorithm
Description
Get ready to conquer your Machine Learning journey with The Ultimate Machine Learning Practice Test!
This comprehensive course provides you with over 450 practice questions covering 60+ essential machine learning topics, from foundational concepts to advanced techniques. Each question is carefully crafted to test your understanding and enhance your problem-solving abilities.
Dive Deep into Key Topics
- Statistical Learning Framework
- Linear Regression
- Logistic Regression
- Ensemble Learning
- Support Vector Machines
- Decision Trees
- K-Nearest Neighbor Algorithm
- Naive-Bayes Algorithm
Boost Your Learning with these Features
- In-depth Explanations: Understand the reasoning behind every question, solidifying your knowledge.
- Varied Question Types: Multiple-choice, scenario-based, and coding questions for comprehensive assessment.
- Real-World Applications: Apply your machine learning skills to practical scenarios.
- Time-Constrained Practice: Enhance your time management skills and prepare for real-world exams.
Invest in your Future
This practice test is developed by experienced machine learning professionals, ensuring comprehensive coverage and quality. Take your machine learning skills to the next level and unlock your potential. Enroll today!
Curriculum
Practice Tests
The course features four comprehensive practice tests designed to simulate real-world exam conditions. Each test contains a diverse range of questions across various machine learning topics, including Statistical Learning Framework, Linear Regression, Logistic Regression, Ensemble Learning, Support Vector Machines, Decision Trees, K-Nearest Neighbor Algorithm, and Naive-Bayes Algorithm. The questions cover both theoretical concepts and practical application scenarios, ensuring a well-rounded learning experience. Detailed explanations are provided for each question, allowing you to understand the underlying principles and solidify your knowledge. With these practice tests, you can gain confidence in your machine learning understanding and prepare effectively for any assessment or interview.