Brian McLogan
How to the Remaining Factors When Given One Factor of a Polynomial
👉 Learn how to find all the zeros of a polynomial given one rational zero. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. The zeros of a...
Brian McLogan
How to Find the Zeros of a Cubic Trinomial by Factoring
👉 Learn how to find all the zeros of a polynomial. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. The zeros of a polynomial are the values...
Brian McLogan
How division relate to linear factorization and zeros
👉 Learn how to divide polynomials using the long division algorithm. To be able to solve a polynomial, we need to be able to get the factors and hence the zeros. To get the factors, we use the rational zeros theorem to get one of the...
Brian McLogan
You Have To Know How To Divide These Polynomials
When students are first learning how to divide polynomials it is important to start your learning off right by working through basic examples to get the problems right.
Brian McLogan
Solving a Polynomial by Factoring to Find Zeros & Determine Multiplicity
👉 Learn how to find all the zeros of a polynomial in the form of the difference of two squares. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive...
Brian McLogan
Learn How to Find the Remaining Factors When Only Given One With Fractions
👉 Learn how to find all the zeros of a polynomial given one rational zero. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. The zeros of a...
Curated Video
Practical Data Science using Python - Logistic Regression - Logit Model
This video explains logistic regression - Logit model. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Seaborn for Data Visualization: Seaborn Catplot
In this video, we will cover Seaborn Catplot. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with 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 - Building Machine Learning Model from Scratch: Linear Regression from Scratch- Part 2
In this video, we will cover linear regression from scratch- part 2. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Machine Learning Model 3
In this video, we will cover machine learning model 3. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" 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 - Machine Learning Methods: Regression Practice with Python
In this video, we will cover regression practice with Python. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Linearity Exercise
In this video, we will cover machine learning model linearity exercise. This clip is from the chapter "Deep learning: Artificial Neural Networks with 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 - Introduction to Machine Learning: Machine Learning Model Linearity
In this video, we will cover machine learning model linearity. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - What is the Activation Function?
In this video, we will understand what the Activation function is. This clip is from the chapter "Activation Functions" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
Curated Video
Practical Data Science using Python - Support Vector Machine Predictions
This video explains Support Vector Machine predictions. This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section explains advanced...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation in PyTorch
This video explains about the implementation in PyTorch. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Why Activation Function Is Required Exercise
This is an exercise video that explains why activation function is required. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Neural Network Architecture
In this video, you will learn about neural network architecture. 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 - Feature Engineering: Derived Features
In this video, we will cover derived features. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Why Activation Function Is Required Exercise
In this video, we will cover why activation function is required exercise. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Structures and Algorithms The Complete Masterclass - Binary Search Complexity
This video introduces you to binary search complexity. This clip is from the chapter "Algorithm: Searching" of the series "Data Structures and Algorithms: The Complete Masterclass".This section explains the concept of searching.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Rank
In this video, we will cover Rank. 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 this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Linear Independence
In this video, we will cover linear independence. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Hyperparameters Exercise Solution
In this video, we will cover machine learning model hyperparameters exercise solution. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...