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Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Overfitting Exercise Solution Regularization
In this video, we will cover machine learning overfitting exercise solution regularization.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine...
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine...
Curated Video
Fundamentals of Machine Learning - Sampling and Bootstrap
This video explains the two most famous and common procedures—cross-validation and Bootstrap.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
Curated Video
Fundamentals of Machine Learning - ROCAUC
In this final lab, you will learn about ROC-AUC (Receiver Operating Characteristic Curve-Area Under Curve).
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the...
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the...
Curated Video
Fundamentals of Machine Learning - Random Forests
This video explains a lab session on random forests and a review of decision trees.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on...
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on...
Curated Video
Fundamentals of Machine Learning - Multilayer Perceptron (MLP)
This video explains a lab session on neural networks and Multilayer Perceptron (MLP) models.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab...
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab...
Curated Video
Fundamentals of Machine Learning - Model Selection
This video explains model selection and regularization.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...
Curated Video
Fundamentals of Machine Learning - Introduction
This video explains a brief history of where machine learning started.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning,...
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning,...
Curated Video
Fundamentals of Machine Learning - Deep Learning
This video introduces you to deep learning, artificial neural networks, recurrent neural networks, and more.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the...
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the...
Curated Video
Fundamentals of Machine Learning - CNN
This video continues the lab from neural networks and will have a look at convolutional neural networks.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various...
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various...
Curated Video
Ria Plants A Sapling
Ria's super excited. Daddy Rabbit's got a new sapling for the garden. Will she be able to plant it? Watch this fun video to find out.
Curated Video
Ensemble Machine Learning Techniques 6.1: Practical Advice
In this video, we will see some of the common pitfalls to avoid during ensembling. • We will see things to consider while building a stacked model • We will learn about the challenges and its solutions in Boosting
Curated Video
Avoiding Bias in Statistical Research
This video provides a lesson on how to conduct a statistical investigation without bias. It describes different types of bias, such as selection bias and response bias, and their implications for research conclusions. The video also...
KnowMo
Types of Data and Sampling in Statistics
This video provides an overview of different types of data and sampling methods for data collection in statistics. The speaker identifies two key types of data - quantitative and qualitative - and explains their subcategories such as...
Curated Video
Ensemble Machine Learning Techniques 3.1: Basics of Bagging
This video talks about the Building Block for Bagging, that is Boosting. • Understand what is Bootstrapping • Understand how Bootstrapping works • Look at the Advantages of using Bootstrapping
Journey to the Microcosmos
We Found a Super Rare Microbe!
After over three years of searching for it, our Master of Microscopes has found a Spirostomum semivirescens!
Curated Video
Sampling Techniques: Methods for Choosing a Representative Sample
This video is a lecture on different types of sampling techniques. The speaker explains the purpose of taking samples and the importance of having a representative sample in order to infer information about the overall population. They...
APMonitor
Generate Poisson Distribution and Histogram in Excel
Powerful statistical analysis tools are available in the Excel is add-in data analysis package. This is an example of generating a randomly sampled Poisson distribution (1000 values) and plotting the frequency of the result.
Curated Video
Identifying Representative Samples
In this video, students learn about the importance of representative samples in making accurate predictions about a population. They are introduced to the concepts of biased and unbiased sampling methods and given examples to understand...
KnowMo
Introduction to Sampling: How to Select a Representative Sample
This video is a lecture about sampling, which is a method used to collect and analyze data about a population. The lecturer explains that it is often not feasible to collect data from every member of a population, so a sample is taken...
Curated Video
Introduction to Sampling in Marketing and Research
This video gives an introduction and overview of sampling from a marketing perspective. The speaker explains the different types of sampling techniques such as random sampling, quota sampling, and stratified sampling, and provides...
Curated Video
How to Conduct a Survey and Choose a Sampling Method
This video provides a lesson on how to conduct a sample survey to determine the popularity of two soda brands, A and B, on a college campus. It explains different sampling methods such as simple random sampling, systematic sampling,...
Flipped Math
Sampling Methods
Pupils watch a video to learn about different types of sample design and how to use technology to create a random sample. They discover different types of bias that may happen due to the sampling design or the questions. Learners use...
New Mexico State University
Soil Sampling: Getting Started
Taking a sample of soil requires more than just a shovel and bucket. Viewers learn about the important factors to consider when taking a soil sample in an informative video presentation. The narrator demonstrates the process in an actual...
TED-Ed
Can You Spot the Problem with These Headlines? (Level 1)
What's the story behind the headlines for scientifically researched products? Viewers of a short video identify the fallacies in headlines designed to lure the unwary.