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Data Science in 90 Seconds: Naive Bayes

Click to learn more about video blogger Laura Kahn. This is Lesson 7 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]

Putting AI to Work: Where Are We Now?

Click to learn more about author Ben Lorica. Back in May, I wrote an article for DATAVERSITY® Despite Investment in Deep Learning, AI Talent Pool is Shallow that explored how companies are putting Artificial Intelligence (AI) to work through Deep Learning. The article detailed how, despite the hype and desire to integrate this powerful technology […]

The Fundamentals of Deep Reinforcement Learning

Reinforcement Learning (RL), a “niche” Machine Learning technique, has surfaced in the last five years. In context-based decision making, Reinforcement Learning helps the machine take action-provoking decision making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which […]

Data Science in 90 Seconds: K-Means Clustering

Click to learn more about video blogger Laura Kahn. This is Lesson 4 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]

Data Science in 90 Seconds: Reinforcement Learning

Click to learn more about video blogger Laura Kahn. This is Lesson 3 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]

Deep Learning Updates: Machine Learning, Deep Reinforcement Learning, and Limitations

In recent years, some astonishing technological breakthroughs in the field Artificial Intelligence (AI) and its sub-field Deep Learning have begun to train machines to behave like humans. As machines are increasingly emulating complex cognitive functions such as deductive reasoning, inferences, and informed decision-making, robots functioning as humans are a reality in many industry practices today. […]

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