Brian McLogan
Master How to determine the domain of a rational function
Master How to determine the domain of a rational function
Curated Video
PySpark and AWS: Master Big Data with PySpark and AWS - Writing Glue Shell Job
In this session, we will take the code from the data bricks and put it inside the closure. In other words, we will be writing a Glue Shell job. This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the...
Curated Video
PEP8 Guidelines Python Clean Coding - Function Annotations: Part 2
This video explains how to create a function with annotations and use them to check the types of arguments and their return types. This clip is from the chapter "Annotations and Recommendations" of the series "PEP8 Guidelines: Python...
Curated Video
PEP8 Guidelines Python Clean Coding - Function Annotations: Part 1
This video explains what function annotations and annotations for simple parameters are. This clip is from the chapter "Annotations and Recommendations" of the series "PEP8 Guidelines: Python Clean Coding".This section explains the most...
Curated Video
Fundamentals of Machine Learning - Going Beyond Linearity
This video explains going beyond linearity; specifically, we will look at a couple of interesting examples to improve the linear regression model to see if we can create models that are non-linear. This clip is from the chapter...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Applying Chain Rule
This video explains how to apply the chain rule. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.
Packt
Fundamentals of Neural Networks - VGG16
This video explains VGG16 which is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition". This clip...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Basics of Feed Forward
In this video, you will learn about the basics of Feed Forward. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Applying Chain Rule
In this video, we will cover applying chain rule. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Exponential Exercise 01
In this video, we will cover Exponential exercise 01. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Why Gradients
In this video, we will understand why gradients. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Curated Video
Data Structures and Algorithms The Complete Masterclass - Why We Need Big O Notation?
This video explains the need for big O notation. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in data structures.
Curated Video
Data Structures and Algorithms The Complete Masterclass - Simplifying Big O - Part 1
This is the first part of the two-part video that simplifies big O. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in...
Curated Video
Data Structures and Algorithms The Complete Masterclass - Section Introduction
This video provides an introduction to this section. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in data structures.
Curated Video
Data Structures and Algorithms The Complete Masterclass - Counting Operations
This video explains counting operations in data structures. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in data...
Curated Video
Data Structures and Algorithms The Complete Masterclass - Complexity Analysis
This video highlights the concept of complexity analysis. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in data...
Curated Video
Data Structures and Algorithms The Complete Masterclass - Big O(n) Complexity
This video explains the concept of big O(n) complexity. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in data...
Curated Video
Data Structures and Algorithms The Complete Masterclass - Big O(1) Complexity
This video introduces you to big O(1) complexity. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in data structures.
Curated Video
Data Structures and Algorithms The Complete Masterclass - Section Summary
This video provides a summary of this section. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in data structures.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Matrix Product
In this video, we will cover Matrix Product. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Brian McLogan
What is the definition of scientific notation
👉 Learn about scientific notations. Scientific notation is a convenient way of writing very large or very small numbers. A number written in scientific notation is of the form a * 10^n where a is the first non-zero number between 1 and...
Packt
Big O(1) Complexity
This video introduces you to big O(1) complexity. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in data structures.
Packt
Section Introduction
This video provides an introduction to this section. This clip is from the chapter "Big O Notation" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to big O notation in data structures.
Curated Video
Calculating Probability of Disjoint Events: The Addition Rule
In this video, the teacher explains how to calculate the probability of disjoint events using the addition rule. They provide examples and clarify the meaning of disjoint events, emphasizing that they cannot occur at the same time.