riversongs Posted April 7 Report Share Posted April 7 Free Download Mastering Linear Algebra For Machine Learning & AiPublished 4/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.59 GB | Duration: 7h 43mBuilding Blocks for Machine Intelligence: A Comprehensive Guide to Linear AlgebraWhat you'll learnDevelop a solid understanding of fundamental concepts in linear algebra, such as vectors, matrices, and operations on them.Master techniques for manipulating matrices, including addition, subtraction, scalar multiplication, and matrix multiplication.Gain proficiency in working with vector spaces, understanding concepts such as linear independence, span, basis, and dimension.Learn about eigenvalues and eigenvectors and their significance in machine learning algorithms like Singular Value Decomposition.Comprehend linear transformations and their representations as matrices, and understand how they relate to machine learning tasks like dimensionality reduction.Acquire skills in solving systems of linear equations using techniques like Gaussian elimination and matrix inversion.Gain insights into how linear algebra concepts are applied in various machine learning algorithms such as regression and classification.Understanding how geometric interpretations apply to machine learning tasks such as regression, classification, and dimensionality reduction.RequirementsBasics of Mathematics and Python ProgrammingDescriptionIn this meticulously crafted Linear Algebra course, you'll delve deep into the fundamental concepts of linear algebra, vectors, matrices, and linear transformations, unraveling their mysteries through a blend of intuitive explanations with examples. Whether you're a novice seeking to embark on your Linear Algebra journey or a seasoned practitioner aiming to deepen your understanding, this course caters to learners of all backgrounds and skill levels.Through engaging lectures, geometric visualizations, and real-world application examples, you'll gain proficiency in manipulating matrices, understanding vector spaces, and deciphering the geometric interpretations underlying key concepts of linear algebra. From eigenvalues and eigenvectors to matrix decompositions, each video equips you with the fundamental knowledge necessary to tackle a myriad of machine learning challenges. With simple hands-on coding exercises using Python and industry-standard libraries like NumPy, you'll translate theoretical concepts into tangible solutions.Whether you aspire to unlock the mysteries of deep learning, revolutionize data analysis, or pioneer groundbreaking AI research, mastering linear algebra is your gateway to the forefront of machine intelligence. Join us on this exhilarating voyage as we embark on a quest to unravel the secrets of intelligence and harness the full potential of linear algebra in the realm of machine learning.Embark on a learning journey packed with 15 hours worth of enriching content neatly compressed into a captivating 7.5-hour video series. Unveil a smarter way to learn, saving you precious time equivalent to another 7.5 hours. Let's dive in and unlock the secrets to efficient learning!We promise that this course will be an asset for you in your journey into the field of Machine Learning and Artificial Intelligence.May Your search for the best course on Linear Algebra end with Us today.!OverviewSection 1: Mastering Linear Algebra for Machine Learning and AILecture 1 Introduction to Linear Algebra for Machine LearningLecture 2 Geometric Representation of a Linear Algebraic ExpressionLecture 3 Importance of System Linear EquationsLecture 4 Vector Representation of Linear EquationLecture 5 Introduction to VectorsLecture 6 Vector Magnitude and DirectionLecture 7 Application of Magnitude and DirectionLecture 8 Position and Displacement VectorLecture 9 Addition, Subtraction and Scalar Operation of a VectorLecture 10 Dot Product between VectorsLecture 11 Projection of a VectorLecture 12 Application of Projection of a VectorLecture 13 Vector Space & its SubspaceLecture 14 Feature Space of VectorsLecture 15 Span of VectorsLecture 16 Linear Independence of VectorsLecture 17 Application of Linearly Independent VectorsLecture 18 Basis ,Dimension of a SubspaceLecture 19 Gaussian Elimination MethodLecture 20 Gaussian Elimination ApplicationLecture 21 Orthogonal BasisLecture 22 Orthonormal BasisLecture 23 Gram Schmidt Orthogonalization ProcessLecture 24 Visualization of Span of VectorsLecture 25 Linear Transformation of a VectorLecture 26 Kernel and Image of a TransformationLecture 27 Application of Linear transformation ILecture 28 Application of Linear transformation IILecture 29 Types of Matrix and EquationsLecture 30 Determinant and its ApplicationsLecture 31 Inverse of a matrixLecture 32 Determinants IILecture 33 Inverse of a Matrix IILecture 34 Eigen Values and Eigen Vectors of a MatrixLecture 35 Similar Matrix and Similarity TransformationLecture 36 Diagonalization of a MatrixLecture 37 Eigen Decomposition of a MatrixLecture 38 Orthogonal Matrix and its PropertiesLecture 39 Symmetric Matrix and its PropertiesLecture 40 Singular Value Decomposition and its PropertiesBeginner in Machine Learning and Artificial Intelligence,Undergraduate or graduate students majoring in fields related to computer science, mathematics, engineering, or data science who need a solid foundation in linear algebra for their studies.,Professionals working in industries such as data science, machine learning, artificial intelligence, computer vision, and robotics who want to enhance their skills and knowledge in linear algebra for practical applications.,Educators and instructors who teach courses in linear algebra, machine learning, or related subjects and who may use it as a resource for curriculum development.,Individuals who are self-driven learners interested in acquiring skills in linear algebra for personal or professional development, particularly those aiming to transition into careers in data science, machine learning, or related fields.Homepagehttps://www.udemy.com/course/mastering-linear-algebra-for-machine-learning/Download ( Rapidgator )https://rg.to/file/6eb7fb6c855d286bcd09a0f12926dac6/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part3.rar.htmlhttps://rg.to/file/70241e56277db72dc8979b505d90b230/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part2.rar.htmlhttps://rg.to/file/833a1f3e10625a45be3711e37d9f38f2/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part1.rar.htmlUploadgighttps://uploadgig.com/file/download/512a9f1aCAf541d7/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part3.rarhttps://uploadgig.com/file/download/532d8dA9eb8351a2/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part2.rarhttps://uploadgig.com/file/download/d251bb921d48dF94/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part1.rarDownload ( NitroFlare )https://nitroflare.com/view/6343365A9282A33/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part3.rarhttps://nitroflare.com/view/7183DC3CB7BA6EC/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part2.rarhttps://nitroflare.com/view/A85C17EE611B3B8/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part1.rarFikperhttps://fikper.com/BgeekVpN1E/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part1.rar.htmlhttps://fikper.com/NKhn1sLhu1/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part2.rar.htmlhttps://fikper.com/QTJL8uDax4/qfdny.Mastering.Linear.Algebra.For.Machine.Learning..Ai.part3.rar.htmlNo Password - Links are Interchangeable Link to comment Share on other sites More sharing options...
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