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Carl Linnaeus
Find out how an 18th-century Swedish botanist revolutionised the way organisms are classified. Life processes - Variation and classification - Why classify? Learning Points Carl Linnaeus classified living things by their physical...
Professor Dave Explains
Subphylum Crustacea Part 2: Ostracoda, Copepoda, and More
Continuing with the clade Crustacea, there are 11 classes within this clade. Let's first look at the ostracods, copepods, and a few other smaller classes. There are some very strange animals in here, like the giant ostracod, fish lice,...
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Attempts of elements classification: The fundamentals of the periodic table
By the end of this learning object, the student will be able to: recognize the fundamentals of the periodic table.14977
Curated Video
Attempts of elements classification: The Development of the Periodic Table
By the end of this learning object, the student will be able to: State Mendeleev’s Attempts of elements classification.4431
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Attempts of elements classification: Dmitrii Mendeleev
By the end of this learning object, the student will be able to: Recognize the efforts and attempts of some scientist to classify elements.4430
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Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 3)
In this video, we will make use of all the data and try to predict whether the price will go up or down. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning -...
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Machine Learning: Random Forest with Python from Scratch - Pros and Cons of Random Forest
In this video, we will look at the benefits and limitations of Random Forest and the complexities involved in decision-making using Random Forest. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine...
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Machine Learning: Random Forest with Python from Scratch - Clustering
In this lesson, you will learn about an unsupervised branch of learning called clustering, which involves grouping elements with no labels to classify them. This clip is from the chapter "Introduction to Machine Learning" of the series...
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Machine Learning: Random Forest with Python from Scratch - Classification versus Regression
Let's learn about the three modes of machine learning: classification, regression, and clustering. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random Forest with Python from...
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Rust Programming 2023 - A Comprehensive Course for Beginners - What Are Datatypes in Rust
This video explains the datatypes in Rust. This clip is from the chapter "Beginner Lessons in Rust" of the series "Rust Programming 2023 - A Comprehensive Course for Beginners".This section focuses on the beginner lessons in Rust.
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Deep Learning - Crash Course 2023 - Perceptron Limitations
In this video, we will have a quick recap of Perceptron limitations and learn how Sigmoid Neuron is useful. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin...
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AWS Certified Solutions Architect Associate (SAA-C03) - S3 Storage Class
S3 is the primary file or object storage service in Amazon Web Services (AWS). What can you do with S3? This video explains the basic concepts of S3 storage and management.
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AWS Certified Solutions Architect Associate (SAA-C03) - Data Security Control
This topic will address data access and governance, recovery, retention, classification, and encryption key management concepts.
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Deep Learning - Artificial Neural Networks with Tensorflow - Code Preparation (Regression Theory)
In this video, we will take a crash course in linear regression for TensorFlow 2.0. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section,...
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Deep Learning - Artificial Neural Networks with Tensorflow - What Is Machine Learning?
In this video, we will understand what machine learning is and get a clear idea about ML (machine learning). This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with...
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CISSP Crash Course - Information Assets
This video explains information assets and data classification. This clip is from the chapter "Asset Security" of the series "CISSP Crash Course".This section covers domain 2, which focuses on asset security, data, and ownership.
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - All Data Is the Same
In this video, we will understand how all data is the same as all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning Is Nothing but Geometry.
In this video, we will understand that machine learning is nothing but a geometry problem and see how it works for classification and regression. This clip is from the chapter "Machine Learning Basics" of the series "Data Science...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Regression in Code
In this video, we will practice all that we have learnt in the previous video about regression. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is Regression?
In this video, we will understand what regression is. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover machine...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is Classification?
In this video, we will understand classification. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover machine...
Curated Video
Alteryx Advanced - Machine Learning Part 3
This video covers more advanced topics related to ML, such as ensemble methods, deep learning, and reinforcement learning; it also provides examples of how these techniques can be used to solve real-world business problems. This clip is...
Curated Video
Alteryx Advanced - Machine Learning Part 1
This video introduces ML and its applications in data analytics, concepts of supervised and unsupervised learning, and how they can be used to build predictive models and provides an overview of the different algorithms and techniques...