Search result for Process models Online Courses & Certifications
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Business Process Modeling A-Z™: Learn BPMN 2.0 From Scratch
by Ilya Eremenko- 4.6
2.5 hours on-demand video
Business Process Modelling Beginner To Advanced. In this course you will learn how to use the Business Process Model and Notation Version 2. Ultimately, the goal of this course is to help you model any existing business process as well as create your own models for completely new processes...
$21.99
Introduction to Probability: Part II – Inference & Processes
by John Tsitsiklis , Patrick Jaillet , Qing He , Jimmy Li- 0.0
16 Weeks
Learn how to use probability theory to develop the basic elements of statistical inference and important random process models Probabilistic models use the language of mathematics. Basic random process models (Bernoulli, Poisson and Markov) and their main properties...
$75
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
Approx. 22 hours to complete
You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems. • Construct models that learn from data using widely available open source tools. Machine Learning Process Goals and Activities in the Machine Learning Process Evaluation of Machine Learning Models...
Introduction to ML.NET or Machine Learning with .NET
by Harshit Gindra- 3.5
40 mins on-demand video
This course will help students understand what is Machine Learning, the process involved in Machine Learning and how we can do Machine Learning using . This course throws light on some of the Machine Learning concepts, its applications, steps involved in building models and consuming those models using C#, ....
$12.99
Response Surfaces, Mixtures, and Model Building
by Douglas C. Montgomery- 4.7
Approx. 13 hours to complete
; that is, identify the subset of factors in a process or system that are of primary important to the response. Unit 2: Regression Models Linear Regression Models Second-Order Models in RSM Experiments with Computer Models Chemical Process Example Unit 4: Robust Parameter Design and Process Robustness Studies...
Digital Transformation and the IT Team
by Lucienne Abrahams , Barry Myburgh , Thabiso Thukani- 0.0
5 Weeks
This course will provide you with conceptual models for understanding, and engaging with, digital transformation processes. However, there are models which can help us think about and engage with the process. Together, familiarity with these models and conceptual frameworks will allow you to engage with digital transformation processes in your own sector and organisation....
$199
Achieving Your Optimal Performance
by Bruce Dunn , Rich Mayhew- 4.6
Approx. 15 hours to complete
Models for Self-Discovery Introduction to Models for Self-Discovery Recap of Models for Self-Discovery Summarizing the Conscious Competence and Kolb Experiential Learning Models Applying the Models Introduction to Applying the Models Recap of Applying the Models The Journaling Process...
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Machine Learning for Accounting with Python
by Linden Lu- 0.0
Approx. 63 hours to complete
This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems. Upon completion of the two courses, students should be able to complete an entire data analytics process with Python. How to apply machine learning models on datasets with Python in Jupyter Notebook....
Models in Architecture – design through physical & digital models
by Martijn Stellingwerff- 0.0
6 Weeks
Learn to develop your architectural designs by using scale models as well as Virtual Reality representations. Models are essential in architecture. The course team also offers the self-paced MOOC IMAGE | ABILITY and both courses come with a unique magazine called ‘MIAMIAM’ (Monthly Image Ability & Models in Architecture Magazine)....
$50
Introduction to Time Series Analysis and Forecasting in R
by R-Tutorials Training- 4.5
8.5 hours on-demand video
Then you will see how different models work, how they are set up in R and how you can use them for forecasting and predictive analytics. Models taught are: ARIMA, exponential smoothing, seasonal decomposition and simple models acting as benchmarks. create models for time series data use models for forecasting identify which models are suitable for a given dataset...
$17.99