Statistics for Machine Learning

Unfortunately Perlego International's trainings are no longer available on Springest

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SPSS Statistics Essential Training (2011)

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In this course, author Barton Poulson takes a practical, visual, and non-mathematical approach to the basics of statistical concepts and da…

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Seminar on Applied Statistics, with Emphasis on Risk Management in R&D, QA/QC, and Manufacturing

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Overview: The 2-day seminar explains how to apply statistics to manage risk in R&D, QA/QC, and Manufacturing, with examples derived mainly …

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Tuning Using Statspack Analysis

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This one day seminar introduces the student to the Statspack utility as a means of capturing performance related statistics. You will learn…

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Excel Statistics Essential Training: 1 (2016)

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Understanding statistics is more important than ever. Statistical operations are the basis for decision making in fields from business to a…

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Machine Learning and AI Foundations: Prediction, Causation, and Statistical Inference

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In the world of data science, machine learning and statistics are often lumped together, but they serve different purposes, and being verse…

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Lean Six Sigma Black Belt Online Certification

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Lean Six Sigma Black Belt Online Certification Course Package To keep the enrollment process simple, we ask that you make two decisions in …

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Data, Economic Modeling, and Forecasting with Stata

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Working with data is an important part of many jobs, and in the future, it will be important for even more. In this course, financial forec…

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Excel 2007: Business Statistics

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Shows managers and executives how to assess their organization's data effectively by applying statistical analysis techniques.Excel 2007: B…

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ILRST 2100: Introductory Statistics

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Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data explorati…

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STSCI 2100: Introductory Statistics

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Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. This course covers da…