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....

A description of User Defined Functions in programming.

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 fea
tures
• Learn...

In this lesson, your instructor discusses vectors. This clip is from the chapter "Input, Process and Output" of the series "C++ for Beginners".null

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...

In this video we demonstrate how to create pseudo random numbers with Arduino - with a useful twist.

This lesson was inspired by the following viewer ques
tion:
"How do I create Random Non-Consecutive numbers...

Are you wondering what the heck serial communication is?



Maybe you have been using some functions from the Arduino Serial library, like Serial.begin() and Seri
al.print()
and...

A description of Arduino, C, C++ data types that are used in programming Arduino.

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...

Are you wondering what the heck serial communication is?



Maybe you have been using some functions from the Arduino Serial library, like Serial.begin() and...

A description of how to explore a code library.

A demonstration of the map() function in Arduino.

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...

A walk through of a User Defined Function in programming.

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...

This week Michael has the chance to sit down with Dr. Katharina Bredies, the brain behind ‘The Light Curtain’, an interactive textile powered by Arduino.

Katharina walks Michael through the design and implementation of this unique...

How do you generate random numbers in C++?

• Introduce cppreference for C++ document
ation
• Understand probability distributions and which one is appropriate
for a die
• Use the classes available in the C++...

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...