Justice  Reilly

Justice Reilly

1614130316

Precalculus and College Algebra

Over these next few Precalculus videos you will be 100% prepared to learn Calculus. I have found that most people think Calculus is difficult because they don’t know everything required to easily learn it. This tutorial series will solve that.

In this video I’ll teach how to :

► Solve Linear Equations
► Find the Slope of a Line
► Graph Complex Equations
► Convert to Standard Form
► Find Least Common Multiple
► Create Equations from a Slope & Point
► Find Distance between Points
► Find Greatest Common Factor
► Solve Inequalities
► Graph Inequalities
► And more

#data-science #developer

What is GEEK

Buddha Community

Precalculus and College Algebra

One of the most important tenets of human rights is higher education. Therefore, having a chance to get it is quite important. Of course, it relies on the individual's skills, willingness, and significant choice. See https://midhudsonnews.com/2022/07/20/criminal-justice-colleges-and-universities-in-america/ for additional information. Although several are located in California, the greatest criminal justice institutions and universities in the US are dispersed across the states to provide students around the nation an equal opportunity at the best college education. There are several top universities around the nation, from Florida State to the Northeastern regions, that provide associate degrees that allow employment with government correctional and other similar institutions.

College Football Betting Software Development | College Football Betting Solutions

Mobiweb Technologies offers ultra-modern and feature-rich College Football Betting Software that covers all the aspects and features of enhancing the betting experience of the clients. We have a team of qualified and experienced sports betting software developers from different walks of industry that design robust and user-centric betting software for newbie and hi-tech enterprises. We offer on-demand customization services and integrate our skills and expertise to design high-quality betting software.
We develop unbeatable software solutions to increase the user-experience and reduce the risk of fraud and insecurity.

#college football betting software #college football betting app development #college football betting app developers #college football betting software developers #college football betting website developers

GRIP Radaur

GRIP Radaur

1611137441

Global Rresearch Institute of Pharmacy

Global Research Institute of Pharmacy (GRIP) is amongst top pharmacy colleges in Haryana. The b pharmacy college in Haryana and d pharmacy college provides d pharma course and b pharma Haryana. Call: 9355688204, 9355688203. http://www.gripradaur.ac.in/

#b pharmacy college in haryana #pharmacy college in haryana #top pharmacy colleges in haryana #d pharmacy college #d pharma course #d pharmacy college in haryana

Enoch Barcenas

Enoch Barcenas

1662454615

Precalculus and College Algebra - Full Course for Beginners

Learn Precalculus and College Algebra in this course for beginners. Over these next few Precalculus videos you will be 100% prepared to learn Calculus. I have found that most people think Calculus is difficult because they don't know everything required to easily learn it. This tutorial series will solve that.

In this video I'll teach how to :

► Solve Linear Equations
► Find the Slope of a Line
► Graph Complex Equations
► Convert to Standard Form
► Find Least Common Multiple
► Create Equations from a Slope & Point
► Find Distance between Points
► Find Greatest Common Factor
► Solve Inequalities
► Graph Inequalities
► And more

Precalculus and College Algebra 1

Precalculus and College Algebra 2

Precalculus and College Algebra 3: Exponents & Polynomials

Precalculus and College Algebra 4

Precalculus and College Algebra 5: Rational Expressions

Precalculus and College Algebra 6: Exponents

Precalculus and College Algebra 7: Quadratic Equations

Precalculus and College Algebra 8: Functions

Precalculus and College Algebra 9: Logarithm Equations

#precalculus #collegealgebra #calculus

 

Bailee  Streich

Bailee Streich

1624447260

Course Review: Python for Linear Algebra

Because I am continuously endeavouring to improve my knowledge and skill of the Python programming language, I decided to take some free courses in an attempt to improve upon my knowledge base. I found one such course on linear algebra, which I found on YouTube. I decided to watch the video and undertake the course work because it focused on the Python programming language, something that I wanted to improve my skill in. Youtube video this course review was taken from:- (4) Python for linear algebra (for absolute beginners) — YouTube

The course is for absolute beginners, which is good because I have never studied linear algebra and had no idea what the terms I would be working with were.

Linear algebra is the branch of mathematics concerning linear equations, such as linear maps and their representations in vector spaces and through matrices. Linear algebra is central to almost all areas of mathematics.

Whilst studying linear algebra, I have learned a few topics that I had not previously known. For example:-

A scalar is simply a number, being an integer or a float. Scalers are convenient in applications that don’t need to be concerned with all the ways that data can be represented in a computer.

A vector is a one dimensional array of numbers. The difference between a vector is that it is mutable, being known as dynamic arrays.

A matrix is similar to a two dimensional rectangular array of data stored in rows and columns. The data stored in the matrix can be strings, numbers, etcetera.

In addition to the basic components of linear algebra, being a scalar, vector and matrix, there are several ways the vectors and matrix can be manipulated to make it suitable for machine learning.

I used Google Colab to code the programming examples and the assignments that were given in the 1 hour 51 minute video. It took a while to get into writing the code of the various subjects that were studied because, as the video stated, it is a course for absolute beginners.

The two main libraries that were used for this course were numpy and matplotlib. Numpy is the library that is used to carry out algebraic operations and matplotlib is used to graphically plot the points that are created in the program.

#numpy #matplotlib #python #linear-algebra #course review: python for linear algebra #linear algebra

Linear Algebra: The hidden engine of machine learning

Algebra is firstly taken from a book, written by Khwarizmi(780-850 CE), which is about calculation and equations. It is a branch of mathematics in which letters are used instead of numbers. Each letter can represent a specific number in one place, and a completely different number in another. Notations and symbols are also used in algebra to show the relationship between numbers. I remember about 17 years ago when I was an ordinary student in applied mathematics(ordinary graduate today!), I was so curious about some research in algebra, done by Maryam Mirzakhani(1977–2017), at Harvard University about analogous counting problem. This science has evolved a lot throughout history and now includes many branches.

Elementary algebra includes basic operations on four main operations. After defining the signs by which fixed numbers and variables are separated, methods are used to solve the equations. A polynomial is an expression that is the sum of a finite number of non-zero terms, each term consisting of the product of a constant and a finite number of variables raised to whole number powers.

Abstract algebra or modern algebra is a group in the algebra family that studies advanced algebraic structures such as groups, rings, and fields. Algebraic structures, with their associated homomorphisms, form mathematical categories. Category theory is a formalism that allows a unified way for expressing properties and constructions that are similar for various structures. Abstract algebra is so popular and used in many fields of mathematics and engineering sciences. For instance, algebraic topology uses algebraic objects to study topologies. The Poincaré conjecture proved in 2003, asserts that the fundamental group of a manifold, which encodes information about connectedness, can be used to determine whether a manifold is a sphere or not. Algebraic number theory studies various number rings that generalize the set of integers.

I believe that the most influencing branch of algebra in other sciences is linear algebra. Let’s suppose that you went out for jogging, that can’t be easy these days with Covid-19 lockdown, and suddenly a beautiful flower catches all your attention. Please don’t be rush and pick it, just take a picture, others can enjoy it, as well. After a while when you look at this picture, you can recognize the flower in the image, because the human brain has evolved over millions of years and able to detect such a thing. We are unaware of the operations that take place in the background of our brains and enable us to recognize the colors in the image, they are trained to do this for us automatically. But, it’s not easy to do such a thing with a machine, that’s why this is one of the most active research areas in machine learning and deep learning. Actually, the fundamental question is: “How does a machine store this image?” You probably know that today’s computers are designed to process only two numbers, 0 and 1. Now, how can an image like this with different features be stored? This is done by storing the pixel intensity in a structure called a “matrix”.

The main topics in linear algebra are vectors and matrices. Vectors are geometric objects that have length and direction. For example, we can mention speed and force, both of which are vector quantities. Each vector is represented by an arrow whose length and direction indicate the size and direction of the vector.

The addition of two or more vectors can be done based on ease of use using parallelogram methods or the method of images in which each vector is decomposed into its components along the coordinate axes. A vector space is a collection of vectors, which may be added together and multiplied by scalars. Scalars generally can be picked up from any field but normally are real numbers.

#matrice #machine-learning #linear-algebra #algebra #deep-learning #deep learning