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Catalog / All levels / Exam 6 - CompTIA DataAI Certification
Mammoth Club All levels 4 sections 26 lectures

Exam 6 - CompTIA DataAI Certification

Test your knowledge with 130+ questions from the Machine Learning section of the CompTIA DataAI (formerly named DataX) certification. Find out if you’re ready to ace the exam — can you explain artificial neural network architecture? Can you explain concepts related to deep learning? Can you identify model types in deep learning? Can you explain concepts related to unsupervised machine learning? And much more!

MC
Created by Team Mammoth
01
Skill level
All levels
02
Sections
4
03
Lectures
26
04
Instructor
Team Mammoth
What's inside

This course includes.

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4
Sections
✓
26
Lectures
✓
26
Quizzes
✓
Certificate of completion
Included
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Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content

Curriculum & lectures.

4 sections · 26 lectures
+ Exam - Artificial neural network architecture 6 lectures
The Perceptron: A Single-Layer Neural Network Locked
The Artificial Neuron: The Building Block of Neural Networks Locked
Multilayer Perceptron (MLP): Unleashing Non-Linearity Locked
Activation Functions: Introducing Non-Linearity Locked
Layer Types in Neural Networks Locked
Common Pitfalls and Mistakes Locked
+ Exam - Explain concepts related to deep learning 8 lectures
Dropout: Regularization Technique Locked
Batch Normalization: Stabilizing Training Locked
Early Stopping: Preventing Overfitting Locked
Schedulers: Adjusting Learning Rates Locked
Back Propagation: The Engine of Learning Locked
One-Shot, Zero-Shot, and Few-Shot Learning: Learning from Limited Data Locked
Deep Learning Frameworks: PyTorch, TensorFlow, Keras, and AutoML Locked
Optimizers: Guiding the Learning Process Locked
+ Exam - Model types in deep learning 5 lectures
Convolutional Neural Networks (CNNs) Locked
Recurrent Neural Networks (RNNs) & Long Short-Term Memory (LSTM) Locked
Generative Adversarial Networks (GANs) & Autoencoders Locked
Transformers Locked
Choosing the Right Model Locked
+ Exam - Explain concepts related to unsupervised machine learning 7 lectures
K-Means Clustering Locked
Hierarchical Clustering: Building a Hierarchy of Clusters Locked
DBSCAN: Density-Based Spatial Clustering of Applications with Noise Locked
Dimensionality Reduction: Simplifying Complex Data Locked
t-distributed Stochastic Neighbor Embedding (t-SNE): Non-Linear Dimensionality Reduction Locked
Uniform Manifold Approximation and Projection (UMAP): Preserving Global Structure Locked
k-Nearest Neighbors (KNN) and Singular Value Decomposition (SVD) Locked

Ready to start building?

Test your knowledge with 130+ questions from the Machine Learning section of the CompTIA DataAI (formerly named DataX) certification. Find out if you’re ready to ace the exam — can you explain artificial neural network architecture? Can you explain concepts related to deep learning? Can you identify model types in deep learning? Can you explain concepts related to unsupervised machine learning? And much more!

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