Search result for Introduction to macroeconomics 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
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 40: Continue to Solve a Work-Energy Problem for 2D Planar Rigid Body Motion Lecture Pdf Version of Module 41: Continue to Solve a Work-Energy Problem for 2D Planar Rigid Body Motion Lecture...
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
Approx. 22 hours to complete
Introduction to the 1st week Introduction to the 2nd week Introduction to the 3rd week Introduction to the 4th week Linking PDF and CDF Histogram as approximation to a graph of PDF Marginal PDF PDF and CDF skill test Finding expectation with PDF Introduction to the 5th week Introduction to the 6th week...
Digital Systems: From Logic Gates to Processors
by Elena Valderrama , Jean-Pierre Deschamps , Lluis Terés , Merce Rullan , Joaquín Saiz Alcaine , David Bañeres , Juan Antonio Martínez- 4.4
Approx. 29 hours to complete
Arithmetic components + Introduction to VHDL 2 (1outof2): Introduction to VHDL - Lexicon, syntax and structure 2 (2outof2): Introduction to VHDL - Lexicon, syntax and structure 3 (1outof2): Introduction to VHDL - Sequential sentences 3 (2outof2): Introduction to VHDL - Sequential sentences 4 (1outof2): Introduction to VHDL - Concurrent sentences 4 (2outof2): Introduction to VHDL - Concurrent sentences...
Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
Approx. 23 hours to complete
By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. Introduction to Deep Learning Introduction to Deep Learning...
The Power of Macroeconomics: Economic Principles in the Real World
by Dr. Peter Navarro- 4.7
Approx. 16 hours to complete
In this course, you will learn all of the major principles of macroeconomics normally taught in a quarter or semester course to college undergraduates or MBA students. Perhaps more importantly, you will also learn how to apply these principles to a wide variety of situations in both your personal and professional lives. Introduction to the Keynesian Model...
How Google does Machine Learning
by Google Cloud Training- 4.6
Approx. 8 hours to complete
Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. Introduction to Course Introduction to Specialization Introduction to ML on Google Cloud What it means to be AI first What it means to be AI first Introduction to AI First...
Career Brand Development and Self-Coaching
by Dr. Valeri Chukhlomin , Dr. Michele Forte , Dr. John M. Beckem II , Amy Giaculli- 4.5
Approx. 15 hours to complete
- Effectively organize your self-management information system to systematically collect and analyze job-related data, evaluate and assess required competencies and skills, develop and implement plans for self-improvement, and monitor your progress; - Engage in self-coaching to support active self-development. Introduction to Week 2: What is going on behind the scenes? Introduction to Week 3 Introduction to Week 4...
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Basics of Inclusive Design for Online Education
by Emily Moore , Howard Kramer , Clayton Lewis- 4.6
Approx. 7 hours to complete
This course provides instruction and strategies to support you in developing a course that is inclusive to students with a wide range of abilities, including students with disabilities. Week 1: Introduction to Course, Demographics, Universal Design Introduction to Course Introduction to Course Logistics Introduction to Universal Design with Sheryl Burgstahler Introduction to Captioning...
Launching into Machine Learning
by Google Cloud Training- 4.6
Approx. 22 hours to complete
We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. Introduction to Course Introduction Introduction Lab Intro: Introduction to Linear Regression Lab Intro: Introduction to Logistic Regression Introduction Introduction Loss Functions Introduction When to Stop Model Training Lab Introduction Creating Repeatable Dataset Splits in BigQuery...
Introduction to Spreadsheets and Models
by Don Huesman- 4.2
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 From Spreadsheet to Model...