There's no denying the disruption that technologies like cloud and mobile have made in the recent past. But artificial intelligence (AI) is bringing changes to organizations and society that are on a whole new level. According to Accenture Strategy research, 78 percent of executives believe AI will disrupt their industry over the next three years and transform the nature of competition. What does that then mean for the technology workforce and technology skills in organizations? Executives have long recognized that the IT workforce is on the front lines of disruption.

In this post you will learn what the Gumbel-softmax trick is. Using this trick, you can sample from a discrete distribution and let the gradients propagate to the weights that affect the distribution's parameters. This trick opens doors to many interesting applications. For start, you can find an example of text generation in the paper GANS for Sequences of Discrete Elements with the Gumbel-softmax Dis.... Training deep neural networks usually boils down to defining your model's architecture and a loss function, and watching the gradients propagate. However, sometimes it's not that simple: some architectures incorporate a random component.

Data Science A-Z: Real-Life Data Science Exercises Included by Kirill Eremenko will help you learn Data Science step by step through real analytics examples, Data Mining, Modeling, Tableau Visualization and more. This Data Science course is absolutely perfect for beginners. You will learn everything you need to get a Data Science job and make a good salary. This Data Science video tutorial will teach you how to perform Data Mining in Tableau. You will learn how to clean and prepare your data for analysis.

How long have your employees been at your company? Do they possess the skills needed to lead you into the future and assist with your company transformation? Probably not, but that doesn't mean you should hire new employees. I've said it before and I'll say it again, it makes the most sense to teach your current employee base the new skills that are required instead of spending the and money to hire new ones. In fact, sixty-two percent of executives believe they will need to retrain or replace more than a quarter of their workforce between now and 2030 due to automation and digitization.

Description: Learn how to Visualize Data with MATLAB in 2D, 3D, 4D, 5D and create animated plots with tens of projects and examples!

A team of scientists from New York University recently developed an AI that creates Super Mario Bros. tutorial levels. It'll teach you how to run and jump, but the Princess will still be in another castle. The researchers designed an evolutionary algorithm that uses an open-source level generator to make scenes that require the use of a specific game mechanic to pass. A scene, for example, created to teach the jump mechanic would be impossible to beat without jumping. Unlike previous work that focuses on the instructional side of tutorials, we focused on creating an experience that will teach the player during gameplay, by posing challenges that they can only overcome when using the mechanics we wanted to teach.

Today's tutorial kicks off a new series of blog posts on object tracking, arguably one of the most requested topics here on PyImageSearch. Furthermore, object tracking allows us to apply a unique ID to each tracked object, making it possible for us to count unique objects in a video. Object tracking is paramount to building a person counter (which we'll do later in this series). This is a tall order for any computer vision or image processing algorithm and there are a variety of tricks we can play to help improve our object trackers. But before we can build such a robust method we first need to study the fundamentals of object tracking.

The Righteous Mind: Why Good People Are Divided by Politics and Religion.

This video is part of the Udacity course "Deep Learning".

Before we start Data Science Tutorial, we should find out what data science really is. Data science is a way to try and discover hidden patterns in raw data. To achieve this goal, it makes use of several algorithms, machine learning(ML) principles, and scientific methods. The insights it retrieves from data lie in forms structured and unstructured. So in a way, this is like data mining. Data science encompasses all- data analysis, statistics, and machine learning. With more practices being labeled into data science, the term itself becomes diluted beyond usefulness. This leads to variation in curricula for introductory data science courses worldwide.