Search result for Prediction and inference Online Courses & Certifications
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High-Dimensional Data Analysis
by Rafael Irizarry , Michael Love- 0.0
4 Weeks
We describe the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrate how these are used in genomics and describe prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates and cross-validation. 3x: Statistical Inference and Modeling for High-throughput Experiments...
$149
Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
Approx. 33 hours to complete
When applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money. We will see how one can automate this workflow and how to speed it up using some advanced techniques. Analytical inference Latent Variable Models and EM algorithm Variational Inference & Latent Dirichlet Allocation...
Fundamentals of Statistics
by Philippe Rigollet , Jan-Christian Hütter , Karene Chu- 0.0
18 Weeks
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. -- Part of the MITx MicroMasters program in Statistics and Data Science. This course is part of theMITx MicroMasters Program in Statistics and Data Science. Quantify uncertainty using confidence intervals and hypothesis testing Make prediction using linear, nonlinear and generalized linear models...
$300
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
Approx. 15 hours to complete
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations. Plotting Predictions and Prediction Uncertainty...
Population Health: Predictive Analytics
by Ewout W. Steyerberg , David van Klaveren- 5
Approx. 18 hours to complete
Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. Prediction for prevention, diagnosis, and effectiveness...
Applied Machine Learning in R
by Bogdan Anastasiei- 4.5
8 hours on-demand video
Get the essential machine learning skills and use them in real life situations So we’ll talk about supervised and unsupervised machine learning techniques, about the distinctions between prediction and inference, about the regression and classification models and, above all, about the bias-variance trade-off, a crucial issue in machine learning....
$12.99
Classical Machine Learning for Financial Engineering
by Ken Perry- 0.0
7 Weeks
Learn a systemic approach to utilizing classical machine learning models and techniques to gain insights from data sets, and master the tools used in this task. apply a systematic approach to solving problems involving analyzing and making inference from data. use alternate data sources such as images and text for prediction...
$799
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Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
Approx. 6 hours to complete
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. Quiz 1: Overview and Molecular Biology Memory and Data Structures...
Python and Statistics for Financial Analysis
by Xuhu Wan- 4.4
Approx. 13 hours to complete
Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data. Visualizing and Munging Stock Data Random variables and distribution 1 Outcomes and Random Variables Sampling and Inference...
Linear Regression for Business Statistics
by Sharad Borle- 4.8
Approx. 28 hours to complete
Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction. We will build a regression model and estimate it using Excel. These tests are an important part of inference and the module introduces them using Excel based examples. Regression Analysis: Hypothesis Testing and Goodness of Fit...