Reinforcement learning with Q-learningLike other machine learning algorithms, a reinforcement learning model needs to be trained before it can be used. The training phase…Dec 22, 2021Dec 22, 2021
Intuition of reinforcement learningReinforcement learning (RL) is an area of machine learning inspired by behavioral psychology. The concept of reinforcement learning is…Dec 15, 2021Dec 15, 2021
Introduction to purpose-specific neural networksArtificial neural networks (ANNs) are versatile and can be designed to address different problems. Specific architectural styles are useful…Dec 8, 2021Dec 8, 2021
Intuition of data in artificial neural networksTo explore the workings of multi-node ANNs, consider an example dataset related to car collisions. Suppose that we have data from several…Dec 2, 2021Dec 2, 2021
Intuition of neurons in artificial neural networksArtificial neural networks (ANNs) are powerful tools in the machine learning toolkit, used in a variety of ways to accomplish objectives…Nov 24, 2021Nov 24, 2021
ML and decision trees for beginnersSuppose that we have several vehicles that are cars and trucks. We measure the weight of each vehicle and the number of wheels of each…Nov 17, 2021Nov 17, 2021
Machine learning flavoursMachine learning is useful only if you have the right data and have questions to ask that it might be able to answer. Machine learning…Nov 9, 2021Nov 9, 2021
Machine learning intuitionMachine learning can seem like a daunting concept to learn and apply, but with the right framing and understanding of the process and…Nov 2, 2021Nov 2, 2021
Intuition of particle swarm optimizationSwarm intelligence is an amazing phenomena in nature. We see it in flocks of birds, bees in a hive, bacterial growth, and more. The…Oct 26, 2021Oct 26, 2021
Learning from antsLearning from ants: Ant colony optimization algorithms are versatile and useful for several real-world applications. These applications…Oct 21, 2021Oct 21, 2021