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[]
["MLE.U1.E1.PC1",null,"The student is able to define artificial intelligence."]
[]
["Number","Correct?","Question"]
[]
[1,"B,C","What is artificial intelligence?","A","Artificial Intelligence describes the large volume of data – both structured and unstructured – that inundates a business on a daily basis."]
[null,null,null,"B","Artificial Intelligence is a branch of Computer Science."]
[null,null,null,"C","Artificial Intelligence seeks to simulate the human process of learning and decision making."]
[null,null,null,"D","Artificial Intelligence is a method of storing and transmitting data in a particular form so that only those for whom it is intended can read and process it."]
[]
["MLE.U1.E1.PC2",null,"The student understands the need, purpose and impacts of artificial intelligence. "]
[]
["Number","Correct?","Question"]
[]
[1,"A","Artificial Intelligence impacts almost every domain of our daily lives, smart home devices and surgical robots are examples of AI applications.","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"A","Machines are not affected by emotions or human problems such as lack of sleep or hunger​, allowing the reduction of errors and  avoiding performance fluctuations.","A","Yes"]
[null,null,null,"B","No"]
[]
[3,"B","Artificial Intelligence is associated to low production and repair costs.​","A","Yes"]
[null,null,null,"B","No"]
[]
["MLE.U1.E1.PC3",null,"The student understands the differences between data, information, knowledge, understanding/insight and wisdom."]
[]
["Number","Correct?","Question"]
[]
[1,"B","In the DIKW hierarchy, information represents the level with most value.","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"B","The extraction of patterns from information leads to wisdom.","A","Yes"]
[null,null,null,"B","No"]
[]
[3,"A","Data are raw and are facts that alone are not meaningful.","A","Yes"]
[null,null,null,"B","No"]
[]
[4,"B","Wisdom is the top level of the DIKW hierarchy and answers the \"How?\" question.","A","Yes "]
[null,null,null,"B","No"]
[]
["MLE.U1.E1.PC4",null,"Deduce how to gain strategic advantage through the use of different kinds of intelligence."]
[]
["Number","Correct?","Question"]
[]
[1,"A,D","Machine Learning can be used in Healthcare ","A","to decrease drug development cost and time."]
[null,null,null,"B","to increase drug development cost and time."]
[null,null,null,"C","to enable longer and more efficient medical diagnosis. "]
[null,null,null,"D","to enable faster and more efficient medical diagnosis."]
[]
[2,"B,D","Machine Learning can be used in Transport ","A","to create more congested and dangerous roads."]
[null,null,null,"B","to create less congested and dangerous roads."]
[null,null,null,"C","to increase adverse environmental impacts."]
[null,null,null,"D","to provide personalized user-experience to passengers."]
[]
["MLE.U1.E1.PC5",null,"Understand the origin and evolution of artificial intelligence over the years.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,C","Artificial Intelligence has gained popularity in recent years due to","A","Higher computing performance as well as power and storage​."]
[null,null,null,"B","Science fiction movies that portray the dark side of Artificial Intelligence."]
[null,null,null,"C","Advances in the fields of Big Data and IoT."]
[null,null,null,"D","The need to replace human beings by machines."]
[]
[2,"C,D","The industry 5.0 refers to ","A","Intelligent supply chain​."]
[null,null,null,"B","Mass customization."]
[null,null,null,"C","Responsive and distributed supply chain​."]
[null,null,null,"D","Hyper customization​."]
[]
["MLE.U1.E1.PC6",null,"Recognize and critically understand the issues and ethical concerns surrounding artificial intelligence."]
[]
["Number","Correct?","Question"]
[]
[1,"D","Artificial Intelligence ","A","should not be feared since there are no ethical or moral considerations surrounding it."]
[null,null,null,"B","cannot be used for malicious purposes."]
[null,null,null,"C","is not vulnerable to have its activity influenced by value judgments, principles, and religion."]
[null,null,null,"D","is associated to important ethical and moral conerns, such as human addiction and safeguards agains mistakes and racism."]
[]
[]
["MLE.U1.E2.PC1",null,"Know the different application domains of artificial intelligence. ​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,B,C,D","Artificial Intelligence can be applied to","A","Marketing and Social Media"]
[null,null,null,"B","Finances and Banking"]
[null,null,null,"C","Healthcare"]
[null,null,null,"D","Space Exploration"]
[]
["MLE.U1.E2.PC2",null,"Analyse and discuss several examples and applications of artificial intelligence. ​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","The following are examples of artificial intelligence applications","A","Smartphones, drones and autonomous vehicles."]
[null,null,null,"B","Smart home devices, thermostats and facial recognition."]
[]
["MLE.U1.E2.PC3",null,"Recognizes the challenges surrounding artificial intelligence approaches. ​"]
[]
["Number","Correct?","Question"]
[]
[1,"B,C","What are the challenges of artificial intelligence?","A","Statistics and analytics"]
[null,null,null,"B","Transparency and trustability"]
[null,null,null,"C","Legal and ethical issues"]
[null,null,null,"D","Big Data"]
[]
["MLE.U1.E2.PC4",null,"Assess the impact of artificial intelligence on the future of work and society.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,C","In the future, artificial Intelligence will ","A","automate simple tasks and dramatically improve human lives.​"]
[null,null,null,"B","replace human beings careers and increase unemployment rates."]
[null,null,null,"C","become a productivity tool to enrich the ability of human beings."]
[]
["MLE.U1.E2.PC5",null,"Reflect about the future of artificial intelligence. ​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,B","In order to play a leading role in the future society, artificial intelligence must","A","rely on a large amount of diverse datasets in order to provide unibased data to improve its safety and reliability."]
[null,null,null,"B","be regulated in such a way that the consequences resulting from its activity can be held accountable."]
[null,null,null,"C","stay in the current state, without suffering any regulatory and computational changes."]
[]
["MLE.U2.E1.PC1​",null,"Know and understand the definition of machine learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B,C","What is machine learning? ","A","Machine Learning is a method of storing and transmitting data."]
[null,null,null,"B","Machine Learning uses statistical methods to enable machines to learn and improve with experience.​"]
[null,null,null,"C","Machine Learning enables computers to learn automatically without human intervention."]
[]
[2,"D","Machine Learning algorithms can be grouped into the following categories","A","Supervised and Unsupervised Learning."]
[null,null,null,"B","Supervised, Unsupervised and Semi-supervised Learning."]
[null,null,null,"C","Supervised, Unsupervised and Reinforcement Learning."]
[null,null,null,"D","Supervised, Unsupervised, Semi-supervised and Reinforcement Learning."]
[]
["MLE.U2.E1.PC2​",null,"Understand the need, purpose and impacts of machine learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","What are the reasons for adopting Machine Learning?","A","Saves the manpower of organizations and increases productivity."]
[null,null,null,"B","Organizations want workers to be replaced by machines to avoid paying wages."]
[null,null,null,"C","Machine learning-based solutions are easy to repair and have low cost."]
[]
[2,"A","What are the impacts of Machine Learning?","A","Machine Learning works great for products/services customization."]
[null,null,null,"B","Machine Learning works great with static phenomena like medical diagnosis."]
[]
["MLE.U2.E1.PC3​",null,"Recognize the connection between artificial intelligence and machine learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C","What is the connection between Artificial Intelligence and Machine Learning?","A","Artificial Intelligence and Machine Learning are branches of Statistics."]
[null,null,null,"B","Artificial Intelligence and Machine Learning are separate fields."]
[null,null,null,"C","Machine Learning is a current application of Artificial Intelligence."]
[null,null,null,"D","Artificial Intelligence is a subset of Machine Learning."]
[]
["MLE.U2.E1.PC4​",null,"Understand how machine learning fits into artificial intelligence.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B","Machine Learning is ","A","a subset of Artificial Intelligence and Deep Learning."]
[null,null,null,"B","a subset of Computer Science and Artificial Intelligence."]
[null,null,null,"C","a subset of Data Mining and Artificial Intelligence."]
[]
["MLE.U2.E2.PC1",null,"Know how to define recommendation systems.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B","Recommendation systems…","A","make product or service recommendations to users using statistics and physics."]
[null,null,null,"B","make product or service recommendations to users though the use of data mining techniques and prediction algorithms."]
[null,null,null,"C","make product or service recommendations to users based solely on explicit user ratings."]
[]
["MLE.U2.E2.PC2",null,"Understand the operation and logic behind recommendation systems."]
[]
["Number","Correct?","Question"]
[]
[1,"C","Recommendation systems can be cathegorized into","A","two types."]
[null,null,null,"B","three types."]
[null,null,null,"C","four types."]
[null,null,null,"D","five types."]
[]
[2,"A","Collaborative filtering systems are","A","based on item-user interactions."]
[null,null,null,"B","based on explicitly defined set of recommendation rules​."]
[null,null,null,"C","based on characteristic information​."]
[null,null,null,"D","combine the previous types of information in order to avoid problems generated by working with only one type​."]
[]
["MLE.U2.E2.PC3",null,"Understand the role of machine learning in recommendation systems.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","What is the connection between Machine Learning and recommendation systems?","A","Recommender systems are a classic example of Machine Learning applications."]
[null,null,null,"B","Recommender systems are a subset of Machine Learning and Data Mining."]
[]
["MLE.U2.E3.PC1",null,"Know the different application domains of Machine Learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","Machine Learning applications are broad from entertainment, social media, and retail to more complex fields such as medicine, education, and transportation.​","A","Yes"]
[null,null,"​","B","No"]
[]
[2,"B","Machine Learning applications","A","are limited to the fields mentioned in this learning element."]
[null,null,null,"B","mentioned in this learning element are by no means comprehensive."]
[]
["MLE.U2.E3.PC2",null,"Analyse and discuss several examples and applications of machine learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B","Machine learning can be used to minimize energy performance in transport.","A","Yes"]
[null,null,null,"B","No "]
[]
[2,"A","Machine learning can be used to reduce human errors and improve safety in healthcare and transportation.","A","Yes"]
[null,null,null,"B","No "]
[]
[3,"A","Machine learning can ease teaching and learning processes.","A","Yes"]
[null,null,null,"B","No "]
[]
[4,"B","Machine learning contributes to hate speech and cyberbullying.","A","Yes"]
[null,null,null,"B","No"]
[]
["MLE.U2.E3.PC3",null,"Recognize the growing importance of machine learning techniques in today's society.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C","The following are impacts of using machine learning","A","smart healthcare, unemployment and air pollution."]
[null,null,null,"B","self driving cars, industry automation and identity theft."]
[null,null,null,"C","improved clinical decision-making, fraud detection and traffic optimization."]
[]
[2,"B","In what concerns the future of Machine Learning,","A","most progress has already been made and there aren't huge opportunities for improvement."]
[null,null,null,"B","there is still a vast window of opportunity in almost all areas of human life."]
[]
["MLE.U3.E1.PC1",null,"Define and understand supervised learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C,D","What is supervised learning?","A","Supervised learning trains algorithms based on unlabeled datasets."]
[null,null,null,"B","In supervised learning, there isn't a relationship between the input and the output."]
[null,null,null,"C","In supervised learning, there is a relationship between the input and the output."]
[null,null,null,"D","Supervised learning trains algorithms based on labeled datasets."]
[]
["MLE.U3.E1.PC2",null,"Understand the differences between regression and classification models.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,C","In classification","A","the output is one or more discrete labels."]
[null,null,null,"B","the output is a continuous quantity."]
[null,null,null,"C","the nature of the predicted data is unordered."]
[null,null,null,"D","the nature of the predicted data is ordered.​"]
[]
["MLE.U3.E1.PC3",null,"Know some of the most commonly used algorithms in supervised learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C","The following are supervided learning algorithms","A","Logistic Regression, Fuzzy C-means and Decision Trees."]
[null,null,null,"B","K-means, Random Forest and Support Vector Machines."]
[null,null,null,"C","Naïve Bayes, Decision Trees and Multiple Linear Regression."]
[]
["MLE.U3.E1.PC4",null,"Categorize each algorithm within the regression, classification and probability estimation domain.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","Decision Trees are","A","classification algorithms."]
[null,null,null,"B","regression algorithms."]
[null,null,null,"C","probability estimation algorithms."]
[]
[2,"B","Simple Linear Regression are","A","classification algorithms."]
[null,null,null,"B","regression algorithms."]
[null,null,null,"C","probability estimation algorithms."]
[]
[3,"A","Logistic Regression are","A","classification algorithms."]
[null,null,null,"B","regression algorithms."]
[null,null,null,"C","probability estimation algorithms."]
[]
["MLE.U3.E1.PC5",null,"Know the domain applications of supervised models.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C","What are the domain applications of supervised learning?","A","Fraud detection and gaming are examples of supervised learning applications."]
[null,null,null,"B","Optimal character recognition and big data visualization are examples of supervised learning applications."]
[null,null,null,"C","Information retrieval, spam detection and speech recognition are examples of supervised learning applications."]
[]
["MLE.U3.E2.PC1",null,"Define and explain unsupervised learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,B","What is unsupervised learning?","A","Unsupervised learning trains algorithms based on unlabeled datasets."]
[null,null,null,"B","In unsupervised learning, there isn't a relationship between the input and the output."]
[null,null,null,"C","In unsupervised learning, there is a relationship between the input and the output."]
[null,null,null,"D","Unsupervised learning trains algorithms based on labeled datasets."]
[]
["MLE.U3.E2.PC2",null,"Know some of the most commonly used algorithms in unsupervised learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C","The following are unsupervided learning algorithms","A","Logistic Regression, Multiple Linear Regression and Decision Trees."]
[null,null,null,"B","Random Forest, K-means and Support Vector Machines."]
[null,null,null,"C","K-means, Fuzzy C-means and Gaussian models."]
[]
["MLE.U3.E2.PC3",null,"Know the domain application of unsupervised models.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B","What are the domain applications of unsupervised learning?","A","Fraud detection and gaming are examples of supervised learning applications."]
[null,null,null,"B","Recommender systems and big data visualization are examples of supervised learning applications."]
[null,null,null,"C","Information retrieval, spam detection and speech recognition are examples of supervised learning applications."]
[]
["MLE.U3.E3.PC1",null,"Define and understand semi-supervised learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C","What kind of data is used in semi-supervised learning?","A","In semi-supervised learning, the dataset consists of unlabelled data."]
[null,null,null,"B","In semi-supervised learning, the dataset consists of labelled data."]
[null,null,null,"C","In semi-supervised learning, the dataset consists of a combination of labelled and unlabelled data."]
[]
[2,"A","Semi-supervised learning","A","can be either transductive or inductive learning."]
[null,null,null,"B","is a particular case of unsupervised approach."]
[null,null,null,"C","groups the data using supervised learning algorithms and then, unsupervised learning algorithms are applied."]
[]
["MLE.U3.E3.PC2",null,"Know some of the most commonly used algorithms in semi-supervised learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B",null,"A","Support Vector Machine, Graph-based models and Random Forest."]
[null,null,null,"B","Self-Training​, Mixture models and Graph-based models."]
[null,null,null,"C","Generative models​, K-means and Logistic Regression."]
[]
["MLE.U3.E3.PC3",null,"Know the domain application of semi-supervised models.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,C","When should we use semi-supervised models?","A","When there is a large amount of unlabeled data in-domain."]
[null,null,null,"B","When there is a scarcity of unlabeled data in-domain."]
[null,null,null,"C","When labelled data is only available out-of-domain."]
[null,null,null,"D","When labelled data is only available in-domain."]
[]
["MLE.U3.E4.PC1",null,"Define and understand reinforcement learning."]
[]
["Number","Correct?","Question"]
[]
[1,"B","What is reinforcement learning?","A","reinforcement learning is a type of dynamic programming that forms algorithms using labeled input/output pairs​."]
[null,null,null,"B","reinforcement learning is a type of dynamic programming that forms algorithms using a reward and punishment system​."]
[null,null,null,"C","reinforcement learning is a type of static programming that forms algorithms using a reward and punishment system​."]
[]
["MLE.U3.E4.PC2",null,"Know common terminologies used in the field of reinforcement learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B","In reinforcement learning, the Markov Decision Process (MDP)​ is a class of methods for learning of value functions, which estimates the value of a state by running many trials starting at that state, then averages the total rewards received on those trials.​","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"B","In reinforcement learning, a policy​ is a mapping from states to real numbers.","A","Yes"]
[null,null,null,"B","No"]
[]
[3,"A","In reinforcement learning, a model is the agent’s view of the environment, which maps state-action pairs to probability distributions over states.","A","Yes"]
[null,null,null,"B","No"]
[]
["MLE.U3.E4.PC3",null,"Know some of the most commonly used algorithms in reinforcement learning.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C","The following are examples of reinforcement learning algorithms","A","Model Based Value Expansion​​, Deep Deterministic Policy Gradients​​ and Support Vector Machines."]
[null,null,null,"B","Deep Deterministic Policy Gradients​​, Logistic Regression and Imagination-Augmented Agents​."]
[null,null,null,"C","AlphaZero, Model Based Value Expansion​​ and Imagination-Augmented Agents​."]
[]
["MLE.U3.E4.PC4",null,"Understand model-based reinforcement learning and model-free reinforcement learning as well as their differences.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C","Model-free reinforcement learning","A","has two approaches, namely learning the model and learn by given the model."]
[null,null,null,"B","uses experience to develop an internal model of transitions and immediate results in the environment​."]
[null,null,null,"C","relies on trial-and-error experience to establish the optimal policy.​"]
[]
[2,"B","Model-based reinforcement learning","A","has two approaches, namely policy optimization and Q-learning."]
[null,null,null,"B","uses experience to develop an internal model of transitions and immediate results in the environment​."]
[null,null,null,"C","relies on trial-and-error experience to establish the optimal policy.​"]
[]
[3,"A","Model-free methods are statistically less efficient than model-based methods​.","A","Yes"]
[null,null,null,"B","No"]
[]
["MLE.U3.E4.PC5",null,"Understand policy optimization methods, Q-learning methods and hybrid methods as well as list some algorithms for each category.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C,D","Policy optimizaton methods ","A","have at least two widely used variants: Deep Q-Learning and Double Q-Learning."]
[null,null,null,"B","determines the policy using a value function.​"]
[null,null,null,"C","determines the policy without using a value function.​"]
[null,null,null,"D","have two types of policies: deterministic and stochastic."]
[]
[2,"B,D","Q-learning methods","A","\"Q\" designates the function that returns the Markov finite decision-making process (FMDP)."]
[null,null,null,"B","\"Q\" designates the function that returns the reward used to provide the booster. ​"]
[null,null,null,"C","have two types of policies: deterministic and stochastic."]
[null,null,null,"D","have at least two widely used variants: Deep Q-Learning and Double Q-Learning."]
[]
["MLE.U3.E4.PC6",null,"Understand the different approaches of model-based reinforcement learning: learn the model and learn given the model.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B","There are 3 approaches for Model Based: Learn the Model, Learn By a Giving Model and the mixture of the two previous options","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"C","In the aproach: learn the model, a basic policy is executed while the trajectory is followed. The first step of the process is: ","A","Learn dynamic model f(s,a) to minimize the summatory​"]
[null,null,null,"B","Plan through f(s,a) to choose actions​"]
[null,null,null,"C","Run base policy to collect data​"]
[]
["MLE.U3.E4.PC7",null,"Know the domain application of reinforcement learning models.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","Robots can implement reinforcement learning algorithms to learn how to walk.​","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"B","Reinforcement learning algorithms achieve short-term results.","A","Yes"]
[null,null,null,"B","No"]
[]
[3,"B","Reinforcement learning is preferable to use for solving simple problems.","A","Yes"]
[null,null,null,"B","No"]
[]
["MLE.U4.E1.PC1",null,"Recognize typical machine learning problems and its areas of intervention.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","Machine learning problems can encompass practically all areas of daily life.","A","Yes"]
[null,null,null,"B","No"]
[]
["MLE.U4.E1.PC2",null,"Know and understand the steps of the resolution approach that typically apply to machine learning problems.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","CRISP-DM is a popular methodology to solve machine learning problems.","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"B","CRISP-DM lifecycle is composed by","A","five stages."]
[null,null,null,"B","six stages."]
[null,null,null,"C","seven stages."]
[]
[3,"D","The stages of the CRISP-DM methodology are","A","Business Understanding, Data Preparation, Modeling, Evaluation and Deployment."]
[null,null,null,"B","Data Understanding, Data Preparation, Modeling, Evaluation and Deployment."]
[null,null,null,"C","Business Understanding, Data Understanding, Data Preparation, Modeling and Evaluation."]
[null,null,null,"D","Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation and Deployment."]
[]
["MLE.U4.E1.PC3",null,"Explore and understand the dataset as well as the main goal of the project.​"]
[]
["Number","Correct?","Question"]
[]
[1,"C,D","Business Understanding concerns","A","data cleaning and transformation."]
[null,null,null,"B","data acquisition."]
[null,null,null,"C","the definition of the objectives in business and technical terms."]
[null,null,null,"D","the design of a preliminary research plan."]
[]
[2,"B,D","Data Understanding concerns","A","data reduction and data sampling."]
[null,null,null,"B","data analysis and exploration."]
[null,null,null,"C","data cleaning and transformation."]
[null,null,null,"D","data acquisition."]
[]
["MLE.U4.E1.PC4",null,"Perform data cleaning, pre-processing and transformation.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,B","Data cleaning envolves","A","removal of duplicates."]
[null,null,null,"B","treatment of missing values."]
[null,null,null,"C","data normalization."]
[null,null,null,"D","data types conversion."]
[]
[2,"A,C","Data transformation concerns","A","data normalization."]
[null,null,null,"B","feature selection."]
[null,null,null,"C","change of data formats."]
[null,null,null,"D","resolution of inconsistencies."]
[]
["MLE.U4.E1.PC5",null,"Know which machine learning model to use.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B,D","Supervised learning algorithms should be used for","A","clustering tasks."]
[null,null,null,"B","classification tasks."]
[null,null,null,"C","dimensionality reduction tasks."]
[null,null,null,"D","regression tasks."]
[]
[2,"A,C","Unsupervised learning algorithms should be used for","A","clustering tasks."]
[null,null,null,"B","classification tasks."]
[null,null,null,"C","dimensionality reduction tasks."]
[null,null,null,"D","regression tasks."]
[]
[3,"B","Semi-supervised learning algorithms should be used for","A","robot navigation."]
[null,null,null,"B","medical diagnosis."]
[null,null,null,"C","gaming."]
[null,null,null,"D","inventory management."]
[]
[4,"A,C,D","Reinforcement learning algorithms should be used for","A","robot navigation."]
[null,null,null,"B","medical diagnosis."]
[null,null,null,"C","gaming."]
[null,null,null,"D","inventory management."]
[]
["MLE.U4.E1.PC6",null,"Explore and interpret the results as well as evaluate the performance of the model.​"]
[]
["Number","Correct?","Question"]
[]
[1,"B","Classification error measures the number of instances correctly classified by the model.","A","Yes"]
[null,null,null,"B","No"]
[]
[2,"B","Precision measures the accuracy of the model against the predicted negatives and determines how many of them are actually negative.","A","Yes"]
[null,null,null,"B","No"]
[]
[3,"A","Recall also called sensitivity should be the metric to use when there is a high cost associated with false negatives","A","Yes"]
[null,null,null,"B","No"]
[]
["MLE.U4.E1.PC7",null,"Analyse and explore step by step the resolution of some machine learning problems.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A","In the correlation example, it was necessary to apply a","A","correlation matrix."]
[null,null,null,"B","confusion matrix."]
[]
[2,"B","In the correlation example, we learned that a correlation proves causality.","A","Yes"]
[null,null,null,"B","No"]
[]
[3,"B","In the linear regression example, the \"b\" parameter in the linear regression equation represents the independent variables like insulation.","A","Yes"]
[null,null,null,"B","No"]
[]
["MLE.U4.E1.PC8",null,"Recognize the challenges surrounding machine learning approaches.​"]
[]
["Number","Correct?","Question"]
[]
[1,"A,C,D","Despite the advantages of machine learning, the field is associated to some challenges such as","A","data quality issues."]
[null,null,null,"B","low development costs."]
[null,null,null,"C","privacy concerns."]
[null,null,null,"D","ethical considerations."]