Top 10 Machine LearningCertification & Training Programs (#8)

Colleagues, the average salary for a Machine Learning Engineer is $145,159 as reported by BuiltIn.. Number 8 in our Top 10 Countdown is the Probability and Statistics for Machine Learning program from InformIT. Understand the appropriate variable type and probability distribution for representing a given class of data, Calculate all of the standard summary metrics for describing probability distributions, as well as the standard techniques for assessing the relationships between distributions, Apply information theory to quantify the proportion of valuable signal that's present among the noise of a given probability distribution, Hypothesize about and critically evaluate the inputs and outputs of machine learning algorithms using essential statistical tools such as the t-test, ANOVA, and R-squared, Grasp the fundamentals of both frequentist and Bayesian statistics, as well as appreciate when one of these approaches is appropriate for the problem you're solving, Use historical data to predict the future using regression models that take advantage of frequentist statistical theory (for smaller data sets) and modern machine learning theory (for larger data sets), including why we may want to consider applying deep learning to a given problem, and Develop a deep understanding of what's going on beneath the hood of predictive statistical models and machine learning algorithms. Skill-based training modules cover: 1) Introduction to Probability, 2) Random Variables, 3) Describing Distributions, 4) Relationships Between Probabilities, 5) Distributions in Machine Learning, 6) Information Theory, 7) Introduction to Statistics, 8) Comparing Means, 9) Correlation, 10) Regression, and 11) Bayesian Statistics.

Enroll today (teams & execs welcome): https://tinyurl.com/3tcbp5rr 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe) 

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