This video will explain us the general purpose of machine learning and also explain the workflow of predictive analytics. • Understand the workflow of predictive analytics in machine learning

For this video, we will be using bank marketing datasets. The data is related to direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. We will do predictive analytics using...

This video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning

How does the design of our programs affect their speed and accuracy? • Learn about floating-point round-off error • Learn about computational complexity • Examine the divide-and-conquer design approach

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....

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...

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...

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...

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...

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

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

In this video, we will learn how to execute code in a child process.<br/>
• Show the different ways of creating a ch<br/>ild process
• Cr<br/>eate a child.js script
• Show comm<br/>unication between child processes

In this video, we take a pass at finding characters potentially belonging to license plates.

• Use contours to find character candi
dates
• Filter contours based on geometri
c criteria
• Identify possible plate locations...

The data model in TensorFlow is represented by tensors. Without using complex mathematical definitions, we can say that a tensor identifies a multidimensional numerical array. • Create tensors • Define the ranks, shape and data type •...

How can we use random numbers to solve problems? • Learn why randomness is useful • See how we can solve integrals with random numbers • See how the accuracy of Monte Carlo methods scales

Sentiment analysis is one of the most widely performed tasks in NLP. An LSTM network can be used to classify short texts into desired categories–that is, classification problems. For example, a set of tweet texts can be categorized as...