Search result for Introduction of linear algebra pdf Online Courses & Certifications
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Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion
by Dr. Wayne Whiteman, PE- 4.9
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Approx. 23 hours to complete
This course is an introduction to the study of bodies in motion as applied to engineering systems and structures. Pdf Version of Module 1: Course Introduction Lecture Pdf Version of Module 9: Work and Kinetic Energy Principle for Particles/System of Particles; Work of a Linear Spring Lecture Pdf Version of Module 46: Principle of Impulse-Momentum Example; Center of Percussion Lecture...
Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way that supports experimentation. Introduction Short History of ML: Linear Regression Lab Intro: Introduction to Linear Regression...
Introduction to Spreadsheets and Models
by Don Huesman- 4.2
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Approx. 6 hours to complete
This course is designed to give you an introduction to basic spreadsheet tools and formulas so that you can begin harness the power of spreadsheets to map the data you have now and to predict the data you may have in the future. PDF of Module 1 Lecture Slides PDF of Module 2 Lecture Slides...
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
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Approx. 22 hours to complete
Exploration of Data Science requires certain background in probability and statistics. Linear transformations of random variables PMF of linear transformations Properties of CDF Linking PDF and CDF Examples of probability density functions Histogram as approximation to a graph of PDF Expected value of continuous random variable Scatter plot and levels of population's joint PDF...
Quantum Cryptography
by Stephanie Wehner , Thomas Vidick , Guest Lecturers- 0.0
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10 Weeks
This interdisciplinary course is an introduction to the exciting field of quantum cryptography, developed in collaboration between QuTech at Delft University of Technology and the California Institute of Technology. This course assumes a solid knowledge of linear algebra and probability at the level of an advanced undergraduate. Fundamental ideas of quantum cryptography...
$50
Advanced Algorithms and Complexity
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
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Approx. 27 hours to complete
You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Linear Programming Introduction Linear Programming Linear Algebra: Method of Substitution Linear Algebra: Gaussian Elimination Linear Programming Formulations Slides and Resources on Linear Programming Linear Programming Quiz Integer Linear Programming Problem...
Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
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Approx. 27 hours to complete
We’ll learn about the fundamentals of Linear Algebra to understand how machine learning modes work. SparkML is making up the greatest portion of this course since scalability is key to address performance bottlenecks. Linear algebra Introduction to SparkML Linear Regression Linear Regression using Apache SystemML The importance of validation data to prevent overfitting Rules of probability and Bayes' theorem...
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Introduction to Bioconductor
by Rafael Irizarry , Michael Love , Vincent Carey- 0.0
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4 Weeks
The structure, annotation, normalization, and interpretation of genome scale assays. We begin with an introduction to the relevant biology, explaining what we measure and why. 2x: Introduction to Linear Models and Matrix Algebra 5x: Introduction to Bioconductor HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code....
$149
Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 23 hours to complete
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. Introduction to Deep Learning Lectures in PDF Introduction to Deep Learning Quick tour of Jupyter/iPython Notebooks Explanation of Logistic Regression Cost Function (Optional) Derivation of DL/dz (Optional) Clarification of "dz" Lectures in PDF...
Discrete Time Signals and Systems
by Richard G. Baraniuk- 0.0
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8 Weeks
Enter the world of signal processing: analyze and extract meaning from the signals around us! Students will find out in this rigorous mathematical introduction to the engineering field of signal processing: the study of signals and systems that extract information from the world around us. Introduction to Analysis and Design of Discrete-Time Filters...
$249
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