Curated Video
Deep Learning - Crash Course 2023 - Why Do We Require Entropy Loss
In this video, we will talk about certain events and understand why we require entropy loss. This clip is from the chapter "Basic Probability" of the series "Deep Learning - Crash Course 2023".In this section, we will talk about...
Curated Video
Deep Learning - Crash Course 2023 - Probability Distribution Table
In this video, you will learn about the probability distribution table. This clip is from the chapter "Basic Probability" of the series "Deep Learning - Crash Course 2023".In this section, we will talk about probability.
Curated Video
Deep Learning - Crash Course 2023 - Random Variable - Types
In this video, you will learn about different types of random variables. This clip is from the chapter "Basic Probability" of the series "Deep Learning - Crash Course 2023".In this section, we will talk about probability.
Curated Video
Deep Learning - Crash Course 2023 - Why Random Variable Is Important
In this video, we will understand why a random variable is important. This clip is from the chapter "Basic Probability" of the series "Deep Learning - Crash Course 2023".In this section, we will talk about probability.
Curated Video
Deep Learning - Crash Course 2023 - Introduction to Probability and Random Variables
In this video, we will be introduced to probability and random variables. This clip is from the chapter "Basic Probability" of the series "Deep Learning - Crash Course 2023".In this section, we will talk about probability.
Curated Video
Deep Learning - Crash Course 2023 - Sigmoid Neuron Introduction
In this video, we will be introduced to Sigmoid Neuron. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Categorical Cross Entropy
In this video, you will learn about categorical cross entropy, which is used in multiclass classification. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Binary Cross Entropy
In this video, you will learn about binary cross entropy, which is the correct loss function to use for binary classification. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Multiclass Classification
In this video, you will learn about multiclass classification. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...
Curated Video
CISSP Crash Course - Threat Modeling
This video explains threat modeling and identifying threats. This clip is from the chapter "Security and Risk Management" of the series "CISSP Crash Course".This section explains domain 1, which focuses on security and risk management.
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More SciPy
In this video, we will summarize what we have learnt about SciPy and understand where it can be applied. This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - SciPy Section Introduction
In this video, we will be introduced to SciPy and understand this section’s learning objective. This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section,...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Matplotlib Section Introduction
In this video, we will have a quick overview of Matplotlib that is used to visualize data and see what we are going to cover in this section. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy,...
Curated Video
ChatGPT and Prompt Engineering With Advanced Data Analysis - How to Identify Whether the Content Is AI-Generated or Human-Written?
In this lecture, we will identify if the content is generated by AI or written by a human. We will discuss the characteristics and patterns of language that may indicate the use of AI-generated content and how to distinguish it from...
Science Buddies
Random Math Test Generator in Scratch
Write a program to generate random math problems and automatically grade them.
Curated Video
Relative Frequency and Probability
In this math video we will learn how to find relative frequency using probability. We will find simple probability using a spinner and determine specific outcomes. We will write a proportion using equivalent ratios to determine the...
Curated Video
Probability Models
In this math video lesson we will learn about probability models. We will define probability models as a mathematical description listing all possible outcomes of an event and their corresponding probabilities. We will understand that a...
Curated Video
Theoretical and Experimental Probability
In this math video lesson we will learn about theoretical and experimental probability. We will define theoretical probability as the ratio of the number of favorable outcomes to the number of possible outcomes. We will review possible...
Curated Video
Using a Tree Diagram - Probability
In this math video we will be using a tree diagram to determine the number of different combinations possible for desired outcomes. We will learn how to read a tree diagram showing probable outcomes. We will use the tree diagram to...
Curated Video
Fair and Unfair
Mr. Addit adds two more words to his probability vocabulary, fair and unfair. Then, using a spinner, he determines if a spinner is fair or unfair and calculates the probability of the spinner landing on specific colors in each example.
Curated Video
Graphing Outcomes Data
Mr. Addit conducts probability experiments and graphs his data on a tally chart.
Curated Video
What Are the Chances?
Mr. Addit reviews the terms likely, unlikely, certain, and impossible. He then works through some probability problems.
Curated Video
Learning About Probability
Mr. Addit reviews terms experiment, probability, and prediction. He then conducts some probability experiments and displays his data on a tally chart and on a bar graph.
Curated Video
Review for You: Experiments and Probability
Mr. Addit reviews experiments, probability, and fairness.