Cameras map out streets for self-driving cars, a keyboard fits into a glove and a robot installs drywall. Plus, Anthony and Michael speak with the startup turning air pollution into liquid fuel. Hosted by venture capitalist Anthony...

Two common statistics that are helpful to know about any college major are: how much money you can expect to make, and the amount of job opportunities. Here I outline the statistics for many of the most majors and careers when it comes...

Supervised and unsupervised learning appears at opposite ends of the spectrum, RL exists somewhere in the middle. We use reinforcement learning to discover a good sequence of actions to take the maximum expected rewards. We will also see...

In this video, we will see how to perform a bit more complex predictive analytics using the bag-of-words concept of NLP with TensorFlow. At first, we will formalize the problem, and then will explore the dataset that will be used....

User experience (UX) design is a theoretical understanding of how users interact with websites. The major challenge developers building a company website face is finding the right balance that fulfills the objectives of the company as...

Security is a very important aspect of any application. In this video, we will go through the process of securing our cloud-native application, which we created in the previous section. • Explore the security features • Learn about the...

One of the simplest RL problems is called n-armed bandits. The thing is there are n-many slot machines but each has different fixed payout probability. The goal is to maximize the profit by always choosing the machine with the best...

In this video, we will see Neural factorization machines is used to for making predictions under sparse settings by seamlessly combining the linearity of FM and the non-linearity of the neural network. • Understand neural factorization...

An algorithm makes insurance firms smarter, AI and blockchain join forces and the future of cryptocurrencies becomes clearer. Plus, Anthony and Michael speak with the startup making it virtually impossible to hack into sensitive...

This video will try to see if we can use CNN for such a use case and experience much better accuracy. Well, the motivation here is that we know CNN is mostly suitable for handling image recognition, classification, or pattern...

How can we "fill in" the data points between discrete data? How can we extend beyond our data points? • Learn linear interpolation • Learn polynomial interpolation • See the dangers of extrapolation

kNN is non-parametric and instance-based and is used in supervised learning. In this video, we will see working principles of kNN, we will also implement kNN-based predictive model. • See the working principles of kNN • Implement a...

Cloud security is generally split between the Cloud Service Provider (CSP) and the cloud tenant, depending on which type of cloud service is being used. Security solutions include firewalls, data loss prevention tools as well as a Cloud...

Malicious software is referred to as malware and includes various types including ransomware, fileless viruses, worms, keyloggers, and trojan horses. Infected computers that periodically contact command and control servers are called...

As part of its initiative to ensure that the Internet continues to spawn growth and innovation, the U.S. Dept. of Commerce held a symposium on "Cybersecurity and Innovation in the Information Economy" on July 27, 2010 in Washington DC....

In this video, we will learn what data visualization is, visual perception, and also what makes a good visualization. • Understand the definition of data visualization • Discuss visual perception • Learn the steps to make a great...

We will first provide some contextual information about RNNs. We will see how to implement a BRNN implementation example using the TensorFlow library. The example is using the MNIST database of handwriting. • Look at contextual...

I don't know about you, but I really enjoy playing board games with friends. I like talking, eating good snacks, and just having some friendly competition. But it seems like every time I play a board game with a group of friends, there's...

Showcase the heaviest concept in OOP by example. • Build a second bot by leveraging the first • Go through theory

This video will have a brief introduction to the unsupervised machine learning technique. We will also look at k-means for predictive analytics. • Understand the concept of clustering • See how k-means work • Use k-means for predicting...

While weights of an MLP are initialized randomly, a DBN uses a greedy layer-by-layer pretraining algorithm to initialize the network weights through probabilistic generative models composed of a visible layer and multiple layers of...

First, we will see DNN performance analysis. Next, we will tune the DNN hyperparameters. • Do DNN performance analysis • Tune the DNN hyperparameters

Princeton University physical chemist Emily Carter is using fundamental scientific principles to create computer simulation tools that will help predict the behavior of different materials including renewable fuels. The research, which...

In this video, we will learn how to create circles and ellipses. • Code a circle and view it in the browser • Fix the problem with viewing only one quarter of the circle • Code an ellipse and view it correctly