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Math for Data science,Data analysis and Machine Learning - Panter - 03.12.2021 Math for Data science,Data analysis and Machine Learning MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 72 lectures (11h 6m) | Size: 14.4 GB Learn Math essentials for Data science,Data analysis,Machine Learning and Artificial intelligence What you'll learn: Learn the foundational concepts of Linear Algebra Learn the foundational concepts of statistics Learn the foundational concepts of Geometry Learn the foundational concepts of Calculus Application of key mathematical topics Requirements Basic knowledge of Math will be needed to finish the course Description In this course, we will learn Math essentials for Data science,Data analysis and Machine Learning. We will also discuss the importance of Linear Algebra,Statistics and Probability,Calculus and Geometry in these technological areas. Since data science is studied by both the engineers and commerce students ,this course is designed in such a way that it is useful for both beginners as well as for advanced level. The lessons of the course is also beneficial for the students of Computer science /artificial intelligence and those learning Python programming. Here, this course covers the following areas : Importance of Linear Algebra Types of Matrices Addition of Matrices and its Properties Matrix multiplication and its Properties Properties of Transpose of Matrices Hermitian and Skew Hermitian Matrices Determinants ; Introduction Minors and Co factors in a Determinant Properties of Determinants Rank of a Matrix Echelon form and its Properties Eigenvalues and Eigenvectors Importance of Statistics for Data Science Statistics : An Introduction Statistical Data and its measurement scales Classification of Data Importance of Calculus for Data science Average and Marginal Concepts Concepts of Maxima and Minima Elasticity : Price elasticity of supply and demand Importance of Euclidean Geometry Set Theory : Definition and its representation Type of Sets Subset,Power set and Universal set Each of the above topics has a simple explanation of concepts and supported by selected examples. I am sure that this course will be create a strong platform for students and those who are planning for appearing in competitive tests and studying higher Mathematics . You will also get a good support in Q&A section . It is also planned that based on your feed back, new course materials will be added to the course. Hope the course will develop better understanding and boost the self confidence of the students. Waiting for you inside the course! So hurry up and Join now !! Who this course is for Students of engineering, data science, machine learning and python programming Download from RapidGator Download from Rapidgator: Download from Keep2Share |