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Curated Video
Predictive Analytics with TensorFlow 6.3: Using BOW for Predictive Analytics
In this video, we will see how to perform a bit more complex predictive analytics using the bag-of-words concept of NLP with TensorFlow. At first, we will formalize the problem, and then will explore the dataset that will be used....
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding.
From the section: Deep Learning and Tensorflow: Part 1. In this section, we’ll talk about what Deep Learning is, and how TensorFlow works at a low level. Deep Learning and Tensorflow: Part 1: Building Deep Neural Networks with Keras,...
APMonitor
Detect Steel Plate Defects with ML
Steel plate defects are extracted from photos of several faulty steel plates with surface imperfections. Image analysis revealed 27 different features to describe the steel fault. A total of 6 unique types of faults are categorized, with...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Encoder Decoder Networks for Dimensionality Reduction Versus Kernel PCA
In this video, we will cover encoder decoder networks for dimensionality reduction versus Kernel PCA. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data...
Curated Video
Deep Learning - Convolutional Neural Networks with TensorFlow - Embeddings
In this video, we will understand the text as sequence data. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, you will learn...
Curated Video
Deep Learning - Recurrent Neural Networks with TensorFlow - Embeddings
In this video, we will understand what embedding is. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In this section, we will talk about Natural...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Categorical Cross Entropy
In this video, you will learn about categorical cross entropy, which is used in multiclass classification. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Categorical Features Python
In this video, we will cover categorical features of Python. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
APMonitor
ML Classification: Sonar Detects Metal Pipe
Sonar (sound navigation and ranging) uses sound waves to detect objects, similar to how a bat uses echo-location to navigate, and detect objects. It is the same principle with seismic data for non-invasive underground exploration of...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Categorical Features
In this video, we will cover categorical features. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
How Would We Know if We Were in a Simulation?
The simulation hypothesis is the idea that everything we experience, including our memories and consciousness could be an advanced digital simulation created by a technologically advanced civilization. It's so advanced that it’s...