Monthly Archives: July 2023

4. Lab: Setting Up A Pubsub Publisher Using The Python Library At the end of this lecture, you should know the answer to this question what two bits of data do you need to publish a message using the Python Library for Pub sub? In this lecture, you’ll implement a Pub sub publisher programmatically in […]

1. Pub Sub Let’s talk about Pub sub, which is an enterprise messaging transport system available on the Google Cloud platform. And as always, here is a question that I’d like you to think about when a data set is unbounded, what constitutes the source of truth? Now, if you have a bounded data set […]

1. Data Lab Let’s quickly talk about Datalab, which is the Google Cloud Platform’s version of Jupiter or Anaconda, an environment where you can interactively execute code. Notebooks Jupiter or I Python are exactly this notebooks for running code. The way Datalab works is via a container which is running on a VM instance. To […]

3. Lab: The Vision, Translate, NLP and Speech API Let’s say you’re building an app where your users can take pictures of sign boards in foreign countries and immediately get a translation. You’re building it on Google cloud platform. What do Google APIs you would use in order to make this happen? In addition to […]

1. Lab: Taxicab Prediction – Setting up the dataset Let’s say that you’re working on a data set that you’ve seen for the very first time. You have a bunch of variables, and you want to see whether the cause effect relationship exists between any of those variables. What are some of the things that […]

13. Lab: Logistic Regression How would you apply the softmax activation function within a neuron when you’re setting up a logistic regression model in TensorFlow? At the end of the lecture. You should be able to answer this question confidently. In this lecture, we’ll discuss how we can implement a logistic regression in TensorFlow. We’ll […]

11. Softmax Here is a question that I’d like us to keep in mind as we go through the contents of this video. Let’s say that we have a set of softmax classification neurons. The output of these is going to be a label. For instance, in digit classification, the output of this set of […]

8. Linear Classification Here is a question to keep in mind as we go through the contents of this video. In logistic regression, when applied to classification, on what basis is the predicted output label selected? Again, what is the basis used by our logistic regressor in order to decide which output label to assign […]

6. Lab: Multiple Regression in TensorFlow At the end of this lecture, you should have a good idea of what are some of the decisions that you need to make while training a machine learning model. These decisions will affect the parameters that you use during the training process. In this lecture, we’ll implement a […]

4. Gradient Descent Here is a question that I’d like you to try and attempt and keep in mind as we go through the contents of this video. What’s the difference between stochastic gradient descent and minibatch gradient descent? As the names would suggest, these are very closely related types of optimization. What is the […]