Products related to Mathematics:
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Discrete Mathematics with Coding
This book, for a first undergraduate course in Discrete Mathematics, systematically exploits the relationship between discrete mathematics and computer programming.Unlike most discrete mathematics texts focusing on one of the other, the book explores the rich and important connection between these two disciplines and shows how each discipline reinforces and enhances the other. The mathematics in the book is self-contained, requiring only a good background in precalculus and some mathematical maturity.New mathematical topics are introduced as needed. The coding language used is VBA Excel. The language is easy to learn, has intuitive commands, and the reader can develop interesting programs from the outset.Additionally, the spreadsheet platform in Excel makes for convenient and transparent data input and output and provides a powerful venue for complex data manipulation.Manipulating data is greatly simpli?ed using spreadsheet features and visualizing the data can make programming and debugging easier.The VBA language is seamlessly integrated into the spreadsheet environment with no other resources required.Furthermore, as some of the modules in the book show, intricate patterns, graphs, and animation in the form of moving cells is possible.Features Introduces coding in VBA Excel assuming no previous coding experience. Develops programs in Linear Analysis, Logic, Combinatorics, Probability, and Number Theory. Contains over 90 fully tested and debugged programs.The code for these is as well as the exercises is available on the author's website. Contains numerous examples that gradually introduce the reader to coding techniques. Includes programs that solve systems of linear equations, linear programming problems, combinatorial problems, Venn diagram problems and programs that produce truth tables from logic statements and logic statements from switching and gate circuits, encrypt and decrypt messages and simulate probability experiments.
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Python Programming for Mathematics
Python Programming for Mathematics focuses on the practical use of the Python language in a range of different areas of mathematics.Through fifty-five exercises of increasing difficulty, the book provides an expansive overview of the power of using programming to solve complex mathematical problems. This book is intended for undergraduate and graduate students who already have learned the basics of Python programming and would like to learn how to apply that programming skill in mathematics. FeaturesInnovative style that teaches programming skills via mathematical exercises. Ideal as a main textbook for Python for Mathematics courses, or as a supplementary resource for Numerical Analysis and Scientific Computing courses.
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Mathematics for Machine Learning
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics.This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites.It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines.For students and others with a mathematical background, these derivations provide a starting point to machine learning texts.For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts.Every chapter includes worked examples and exercises to test understanding.Programming tutorials are offered on the book's web site.
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Programming Machine Learning : From Coding to Deep Learning
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool.But where to start? It's easy to be intimidated, even as a software developer.The good news is that it doesn't have to be that hard.Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system.Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning.Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work.Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on.Iterate on your design, and add layers of complexity as you go.Build an image recognition application from scratch with supervised learning.Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning.Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets.Train and refine those networks with backpropagation and batching.Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.Start from the beginning and code your way to machine learning mastery.What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly.Apart from that, you'll only need your computer, and your code-adept brain.
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Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
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Does studying mathematics involve learning a programming language?
Studying mathematics does not necessarily involve learning a programming language. While some branches of mathematics, such as computational mathematics or numerical analysis, may require knowledge of programming languages like Python or MATLAB for data analysis and simulations, the core concepts of mathematics can be studied and understood without programming. However, learning a programming language can be a valuable skill for mathematicians as it can aid in solving complex problems and conducting mathematical research efficiently.
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Does the study of mathematics include learning a programming language?
The study of mathematics does not necessarily include learning a programming language, but it can be beneficial to do so. Many mathematical concepts can be applied and explored through programming, and learning a language like Python or R can help students to visualize and analyze mathematical data. Additionally, programming can be a valuable skill for those pursuing careers in fields like data science, engineering, or finance, where mathematical knowledge is essential. However, it ultimately depends on the specific curriculum and goals of the mathematics program.
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Can one enter software development with a bachelor's degree in mathematics?
Yes, one can definitely enter software development with a bachelor's degree in mathematics. Mathematics provides a strong foundation in problem-solving, logic, and analytical thinking, which are all valuable skills in software development. Many software development roles, such as data analysis, machine learning, and algorithm development, require a strong mathematical background. Additionally, many employers value the critical thinking and quantitative skills that mathematics graduates bring to the field of software development.
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Wooden Montessori Early Learning Mathematics Board
Make learning fun with the Wooden Montessori Early Learning Mathematics Board Colourful board made with wood Perfect for learning simple maths including division and multiplication Features 19 number tiles, 5 mathematical symbols and 52 sticks Dimensions: 23cm x 16cm x 3cm Suitable for children aged 3 and over Save 80% on the Wooden Montessori Early Learning Mathematics Board for 5.99 pounds
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Mathematics teaching 3D rectangular 3D geometric figure educational mathematics learning can be used as mathematics teaching materials materials,
【Cautions for using electrical products】 When using electrical appliances, please note that the voltage is different from that of Japan, which may cause malfunctions. Since the plug type is Japan type(A or B type), please check the voltage and use a transformer. Please note that a transformer is different from a conversion adapter. We are not responsible for malfunctions caused by use without a transformer. Mathematics teaching materials, 3D shapes, rectangular parallelepipeds, cubes, 3D geometric figure models, educational toys, mathematics learning toys, can be used as mathematics teaching materials
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Mathematics Home Learning - Ages 5 to 6
Our edx education® Mathematics Home Learning is aimed at children aged 5-6 years and ideal for learning important early mathematical concepts and developing skills in counting, addition, sorting, classifying, identifying geometric shapes and objects, problem solving and reasoning.. Set includes: 50 pattern blocks, 37 GeoStix®, 40 linking cubes, 22 counters, 1 deck of child friendly playing cards, 3 dice, 1 number board, 1 activity board and activity guide.. Size LxWxH: 37cm x 29.3cm x 6.5cmAge: 5-6 yrsMPN: EDX38071
Price: 21.99 € | Shipping*: € -
Mathematics Home Learning - Ages 6 to 7
Our edx education® Mathematics Home Learning is aimed at children aged 6-7 years and ideal for learning important early mathematical concepts and developing skills in counting, addition, sorting, classifying, identifying geometric shapes and objects, problem solving and reasoning.Set includes: 50 pattern blocks, 37 GeoStix®, 40 linking cubes, 52 counters, 1 deck of school friendly playing cards, 1 clock, 3 dice, 1 number board, 1 activity board and activity guide.Size LxWxH: 37cm x 29.3cm x 6.5cmAge: 6-7 yrsMPN: EDX38072
Price: 27.99 € | Shipping*: €
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Is learning mathematics exhausting?
Learning mathematics can be exhausting for some people, especially if they find the subject challenging or if they struggle with certain concepts. However, others may find it stimulating and enjoyable. The level of exhaustion experienced while learning mathematics can also depend on the individual's interest in the subject, their learning style, and the teaching methods used. Overall, whether learning mathematics is exhausting or not varies from person to person.
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Which programming languages are used in software development?
There are many programming languages used in software development, including popular languages such as Java, Python, C++, JavaScript, and Ruby. Each language has its own strengths and is used for different purposes in software development. For example, Java is commonly used for building enterprise-level applications, while Python is known for its simplicity and versatility. C++ is often used for system software and game development, while JavaScript is essential for web development. Overall, the choice of programming language depends on the specific requirements of the software being developed.
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Can one start a career in software development with a Bachelor's degree in Mathematics?
Yes, it is possible to start a career in software development with a Bachelor's degree in Mathematics. Mathematics provides a strong foundation in problem-solving, logic, and analytical thinking, which are all valuable skills in software development. Many software development roles value candidates with strong mathematical backgrounds, especially in areas such as data science, machine learning, and algorithm development. However, individuals may need to supplement their education with additional programming skills and experience to be competitive in the field.
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What is the difference between software development and programming?
Software development is a broader term that encompasses the entire process of creating software, including planning, designing, testing, and maintaining software applications. Programming, on the other hand, refers specifically to the act of writing code to instruct a computer to perform certain tasks. While programming is a key component of software development, software development involves a more comprehensive approach that includes various stages beyond just writing code.
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