Can You Validate These Emails?
Email Validation is a procedure that verifies if an email address is deliverable and valid. Can you validate these emails?
From playlist Fun
What are the different ways to perform data validation in machine learning?
#machinelearning #shorts #datascience
From playlist Quick Machine Learning Concepts
Set Theory (Part 2): ZFC Axioms
Please feel free to leave comments/questions on the video and practice problems below! In this video, I introduce some common axioms in set theory using the Zermelo-Fraenkel w/ choice (ZFC) system. Five out of nine ZFC axioms are covered and the remaining four will be introduced in their
From playlist Set Theory by Mathoma
Introduction to sets || Set theory Overview - Part 1
A set is the mathematical model for a collection of different things; a set contains elements or members, which can be mathematical objects of any kind: numbers, symbols, points in space, lines, other geometrical shapes, variables, or even other #sets. The #set with no element is the empty
From playlist Set Theory
Introduction to sets || Set theory Overview - Part 2
A set is the mathematical model for a collection of different things; a set contains elements or members, which can be mathematical objects of any kind: numbers, symbols, points in space, lines, other geometrical shapes, variables, or even other #sets. The #set with no element is the empty
From playlist Set Theory
Overfitting 4: training, validation, testing
[http://bit.ly/overfit] When building a learning algorithm, we need to have three disjoint sets of data: the training set, the validation set and the testing set. This video explains why we need all three.
From playlist Overfitting
Introduction to Sets and Set Notation
This video defines a set, special sets, and set notation.
From playlist Sets (Discrete Math)
Excel MT 144 p1 Formula: Avoid Data Validation 1 Rule Limit
Download Excel Files: Start File: https://people.highline.edu/mgirvin/YouTubeExcelIsFun/EMT133-145.xls Finished https://people.highline.edu/mgirvin/YouTubeExcelIsFun/EMT133-145.Finishedxls.xls Full Page With All File Links: http://people.highline.edu/mgirvin/excelisfun.htm See how to work
From playlist Excel INDEX & MATCH Function Formula videos
Build a Validation Set With TensorFlow's Keras API
In this episode, we'll demonstrate how to use TensorFlow's Keras API to create a validation set on-the-fly during training. 🕒🦎 VIDEO SECTIONS 🦎🕒 00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources 00:18 Intro to Validation Sets 03:22 Creating a Validation Set 07:22
From playlist TensorFlow - Python Deep Learning Neural Network API
Validation - Taking a peek out of sample. Model selection and data contamination. Cross validation. Lecture 13 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/course/machine-learn
From playlist Machine Learning Course - CS 156
Train, Test, & Validation Sets explained
In this video, we explain the concept of the different data sets used for training and testing an artificial neural network, including the training set, testing set, and validation set. We also show how to create and specify these data sets in code with Keras. 🕒🦎 VIDEO SECTIONS 🦎🕒 00:00
From playlist Deep Learning Fundamentals - Intro to Neural Networks
In this video, we learn a hack to increase the size of our training set while still being able to do validation: cross validation. Link to my notes on Introduction to Data Science: https://github.com/knathanieltucker/data-science-foundations Try answering these comprehension questions to
From playlist Introduction to Data Science - Foundations
Selecting the best model in scikit-learn using cross-validation
In this video, we'll learn about K-fold cross-validation and how it can be used for selecting optimal tuning parameters, choosing between models, and selecting features. We'll compare cross-validation with the train/test split procedure, and we'll also discuss some variations of cross-vali
From playlist Machine learning in Python with scikit-learn
Cross-Validation In Machine Learning | ML Fundamentals | Machine Learning Tutorial | Edureka
*** Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training *** This Edureka Video on 'Cross-Validation In Machine Learning' covers A brief introduction to Cross-Validation with its various types, limitations, and applications. Following are
From playlist Machine Learning Algorithms in Python (With Demo) | Edureka
Deep Learning Lecture 2.3 - Hyperparameters
Deep Learning Lecture - Estimator Theory 2 - Prediction / Validation / Testing - Hyperparameter Selection
From playlist Deep Learning Lecture
Lecture 06-01 Advice for applying machine learning
Machine Learning by Andrew Ng [Coursera] 0601 Deciding what to try next 0602 Evaluating a hypothesis 0603 Model selection and training/validation/test sets 0604 Diagnosing bias vs variance 0605 Regularization and bias/variance 0606 Learning curves 0607 Deciding what to try next (revisited
From playlist Machine Learning by Professor Andrew Ng
Excel Magic Trick 895: Entered Date Must Be Greater or Equal to Any Dates Above Data Validation
Download Excel Start File: https://people.highline.edu/mgirvin/YouTubeExcelIsFun/EMT-890-895.xlsx Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm See how to use Data Validation and a logical TRUE FALSE formula to validate that Entered Dates Must Be Greater or Equal t
From playlist Excel Data Validation
Statistical Learning: 5.2 K-fold Cross Validation
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning