This course uses case studies, exercises, and interactive discussion. Each machine learning method has a case study to back it up, along with step-by-step outputs that run concurrently with its multi-stage analysis. On comparable technologies like SPSS, SAS, Statistica, and Excel, all algorithms are described with consecutive screen shots.
Learn what machine learning really means.
Understand the main distinctions between machine learning and data analysis.
Integrate testing and sample validation into machine learning models
Please provide a summary of the top analytical solutions.
Apply precise estimation using comprehensive prediction models.
This training would be useful for any level of professional interested in how machine learning may help their organization. These include experts from a variety of fields, such as finance, insurance, retail, government, manufacturing, healthcare, telecom, and aviation, among others.
the means and proportions of two groups are examine
Using a single chart to profile two groups
comparing the averages and proportions of several groupings
combining numerous group profiles into a single chart
an easy regression
Regression versus correlation
Sensitivity evaluation of numerical variables
Machine Learning Introduction
Logic of Gradient Descent
Regression Comparison: Multiple vs. Simple
estimate variability analysis
fake variables
Logistic and multiple regressions: Similarities and Disparities
Six Sigma is one of the world's most popular quality management methodologies, and this Lean Six Sigma Black Belt training course is specifically designed for individuals and organizations who are looking for an in-depth understanding of the widely-recognized Lean Six Sigma methodology.
Participants attending this course will gain a comprehensive understanding of disciplined, data-driven approach and process improvement techniques that eliminate defects in any process - from manufacturing to transactional and from product to service.
This course provides an understanding of the structure, contents, and applicability of the Occupational Safety and Health Administration (OSHA) standards.
The time for action on greening supply chains has come. Daily headlines report food shortages and concerns about energy security and dangerous climate change. Current forecasts suggest that by 2050 the human population will grow to around 9 billion and that per capita consumption of hard and soft commodities is set to increase. An incredible challenge lies ahead of us: already the production, extraction, and consumption of basic commodities are contributing to humanity's unsustainable ecological footprint.
Access to resources will be a major strategic corporate issue in the coming decades. We are convinced that the winners will be those companies that can demonstrate that their supply chains are clean and green
T-SQL or Transact SQL is the query language specific to the Microsoft SQL Server product. It can help perform operations like retrieving the data from a single row, inserting new rows, and retrieving multiple rows. It is a procedural language that is used by the SQL Server
Too often company executives and professionals spend most of their time fixing day-to-day problems. They react to problems, rather than focusing on what they would like the company to be and then on making it happen. This program focuses on changing the way we think from reacting (responding to day-to-day problems, fixing and repairing) to developing plans for what we want to have happened and then implementing the plans.
Most organizations would place the management and motivation of their people as their major priority. This course is designed to show how to get the best out the human resource. This course covers the main components of an effective HR Process including Recruitment, Employee Motivation and Reward, Training and Learning and Measuring the value of HR.