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Mathematics for Machine Learning: PCA
by Marc Peter Deisenroth- 4
Approx. 18 hours to complete
We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Disclaimer: This course is substantially more abstract and requires more programming than the other two courses of the specialization....
Data Science Career Guide - Interview Preparation
by Jose Portilla- 4.6
4 hours on-demand video
Companies are in dire need of filling out this unique role, and you can use this course to help you rock your Data Scientist Interview! The course will be full of real questions sourced from employees working at some of the world's top technology companies, including Amazon, Square, Facebook, Google, Microsoft, AirBnb and more!...
$17.99
Machine Learning with Python: Data Science for Beginners
by TELCOMA Global 68,000+ Students!- 3.8
11 hours on-demand video
Master Machine Learning using PythonDemystifying Artificial Intelligence, Machine Learning, Data ScienceExplore & Define a ML use caseML Business Solution BlueprintExplore Spyder, Pandas and NumPyImplement Data EngineeringExploratory Data Analysis Introduction to Statistics and Probability DistributionsLearn Machine Learning MethodologyUnderstand Supervised Learning Supervised LearningImplement Simple & Multiple Linear RegressionDecision TreesRegression & Classification Model EvaluationCross Validation, Hyperparameter Ensemble ModelingRandom Forest & XGBoost ...
$11.99
Calculus 1B: Integration
by David Jerison , Gigliola Staffilani , Jennifer French , Karene Chu- 0.0
15 Weeks
Discover the integral—what it is and how to compute it. The integral is vital in engineering design, scientific analysis, probability and statistics. You will use integrals to find centers of mass, the stress on a beam during construction, the power exerted by a motor, and the distance traveled by a rocket....
$100
Sampling People, Networks and Records
by James M Lepkowski- 4.4
Approx. 20 hours to complete
The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling. - Course Introduction 1 - Research Design and Sampling - Part 1 1 - Research Design and Sampling - Part 2 2 - Surveys and Sampling 6 - Sample Size and Population Size Keep Learning with Michigan Online...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. This course targets aspiring data scientists interested in acquiring hands-on experience with Deep Learning and Reinforcement Learning. Course Introduction Optimization and Gradient Descent Neural Network Optimizers and Keras Deep Learning Applications and Reinforcement Learning...
Mathematical Foundations of Machine Learning
by Dr Jon Krohn- 4.5
15.5 hours on-demand video
Jon Krohn, this course provides a firm grasp of the mathematics — namely the linear algebra and calculus — that underlies machine learning algorithms and data science models. This Mathematical Foundations of Machine Learning course is complete, but in the future we intend on adding bonus content from related subjects beyond math, namely: probability, statistics, data structures, algorithms, and optimization....
$17.99
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Challenging Forensic Science: How Science Should Speak to Court
by Alex Biedermann , Franco Taroni , Christophe Champod , Tacha Hicks- 4.9
Approx. 17 hours to complete
The aim of this course is to promote critical thinking with regard to forensic science. Presentation and visit of The School of Criminal Justice Part B - Transfer and pollution: The Probability of Error/Pollution Part A - Statistics in Court (1): the Clark and Collins Cases Part A - Statistics in Court (2): the Clark and Collins Cases...
Six Sigma Tools for Analyze
by Christina Scherrer, PhD , David Cook, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.7
Approx. 8 hours to complete
This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition)....
Quantitative Research
by Susan Berman , Olivier Rubel, PhD- 4.4
Approx. 17 hours to complete
In this course, you will obtain some insights about marketing to help determine whether there is an opportunity that actually exists in the marketplace and whether it is valuable and actionable for your organization or client. Analyze a given set of data, perform basic calculations, and describe it with descriptive statistics...