Reinforcement Learning (Q-learning) – Implementation using R (Part 2)
This the second part of Reinforcement Learning (Q-learning). If you would like to understand the RL, Q-learning, and key terms please read Part 1. In this part, we will i...
Home » You searched for 2
Search Results for: 2
Coronavirus Italy update 26 March 2020
#Italy novel coronavirus outbreak: From 21 Feb to 26 March casualties daily trend shows the numbers of deaths in 35 days as equal to 8.165. An average of 233 deaths per d...
Ontologies and Semantic Annotation. Part 2: Developing an Ontology
In the previous part, we started to outline what ontologies are and how they may be used; now it is time to get into more practical guidelines and tips that would help bu...
How Technology tops HR trends in 2020
The world of today is digital! Every business, every person across the world has felt the impact of a digital transformation, and the field of HR has been no exception to...
9 Cities To Get Hired as a Data Scientist for 2020
We talk a lot about how to get hired as data scientists, but it’s time for our annual roundup of where to get hired as a data scientist for 2020. Without further ado, h...
The 2020 Data Science Dictionary—Key Terms You Need to Know
As I discussed early last year, the data science field is a virtual hot-bed of terminology, a confluence of terms from computer science, statistics, mathematics, and sof...
Advanced Analytic Platforms – Changes in the Leaderboard 2020
Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become. Of...
Popular Programming Languages: 1960 to 2020
In one great video. Enjoy the video!...
Advanced Analytic Platforms – Changes in the Leaderboard 2020
Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become. Of ...
25 Great Articles and Tutorials on Classification Methods
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...