Once we start delving into the concepts behind Artificial Intelligence (AI) and Machine Learning (ML), we come across copious amounts of jargon related to this field of study. Understanding… Read More »Machine Learning Explained: Understanding Supervised, Unsupervised, and Reinforcement Learning
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented… Read More »Selected Recent Articles from Top DSC Contributors – Part 3
In this script, we will explore the open roles at Google, and try to see what common attributes Google is looking for, in future employees. … Read More »Who will get hired at Google?
There is no doubt that SQL is the most widely-used working language for processing structured data. Not only is the language adopted by all relational… Read More »Relational Algebra Is the Root of SQL Problems
In the article, Data Science Should Monitor Big Brother by Arjan Haring, one important overlooked point here is that significant value, even from the point of view of the individual,… Read More »One important overlooked point here is that significant value
This is part of a book series by Pakt Publishing. The first book is entitled Statistics for Machine Learning and described below. Book Description Complex… Read More »7 Books About Machine Learning, Statistics, and Python
This article was posted by Dikesh Jariwala on R Bloggers. With ever increasing volume of data, it is impossible to tell stories without visualizations. Data visualization is… Read More »7 Visualizations You Should Learn in R
Most organizations’ IOT Strategy look like a game of ‘Twister’ with progress across important IOT capabilities such as architecture, technology, data, analytics and governance; variables comprising a series… Read More »Avoiding the IOT ‘Twister’ Business Strategy
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »7 Great Articles About TensorFlow
In earlier posts, we learned about classic convolutional neural network (CNN) architectures (LeNet-5, AlexNet, VGG16, and ResNets). We created all the models from scratch using… Read More »Keras Application for Pre-trained Model
