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Custom Models, Layers, and Loss Functions with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
Approx. 31 hours to complete
This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models. Creating a Multi-Output model Siamese network: a Multiple-Input model Learn more about the Inception Model Architecture...
Complete Outlier Detection Algorithms A-Z: In Data Science
by Saurav Singla- 4.8
1.5 hours on-demand video
Outlier Detection Algorithms in Data Science, Machine Learning, Deep Learning, Data Analysis, Statistics with Python The process of identifying outliers has many names in Data Science and Machine learning such as outlier modeling, novelty detection, or anomaly detection. Outlier detection algorithms are useful in areas such as Machine Learning, Deep Learning, Data Science, Pattern Recognition, Data Analysis, and Statistics....
$12.99
The Complete R Programming for Data Science - 7 courses in 1
by Numyard Data Science Team- 4.5
18.5 hours on-demand video
In The Complete R-Programming for Data Science & Statistics program, we have carefully designed 7 Full-Fledged courses into 1 Master Course of 200+ videos, 50+ R-Packages, Core Machine Learning and statistics concepts, 75+ practice problems and 2 Industrial projects Perform post model building diagnostics Master statistics for machine learning Master statistics for machine learning...
$12.99
SAS programming concepts(Base+Advanced)
by Ankita khanna- 3.4
2.5 hours on-demand video
Clustering method in SAS using K-means method on an insurance dataset using Proc Fastclus Procedure. Creation of ARIMA model for forecasting the sales data by using the Box Inkins approach. Clustering method in SAS using K-means method on an insurance dataset using Proc Fastclus Procedure. Creation of ARIMA model for forecasting the sales data by using the Box Inkins approach...
$12.99
Deep Learning with Python and PyTorch
by Joseph Santarcangelo- 0.0
6 Weeks
If you do not have this pre-requiste knowledge, it is highly recommended you complete the PyTorch Basics for Machine Learning course prior to starting this course. We will then focus on Convolutional Neural Networks, training your model on a GPU and Transfer Learning (pre-trained models). Apply knowledge of Deep Neural Networks and related machine learning methods...
$99
Meaningful Predictive Modeling
by Julian McAuley , Ilkay Altintas- 4.4
Approx. 9 hours to complete
Week 2: Codebases, Regularization, and Evaluating a Model Model Complexity and Regularization Adding a Regularizer to our Model, and Evaluating the Regularized Model Review: Evaluating a Model Codebases, Regularization, and Evaluating a Model...
Keras: Deep Learning in Python
by Francisco Juretig- 3.7
10 hours on-demand video
Build complex deep learning algorithms easily in Python Do you want to build complex deep learning models in Keras? The student is required to be familiar with Python, and machine learning; Some general knowledge on statistics and probability is recommended, but not strictly necessary....
$13.99
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Machine learning & AI Hands on 3 Projects.
by EdYoda Digital University- 4.1
2 hours on-demand video
Get well verse with Machine learning and AI by working on hands-on projects. Do you feel overwhelmed going through all the AI and Machine learning study materials? 2) Work on real challenges – Businesses in this digital age face a lot of issues that Machine learning promises to solve. Machine learning is happening right now....
$12.99
Structuring Machine Learning Projects
by Andrew NgTop Instructor , Younes Bensouda MourriTop Instructor , Kian KatanforooshTop Instructor- 4.8
Approx. 6 hours to complete
In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. This is also a standalone course for learners who have basic machine learning knowledge. Improving your Model Performance Machine Learning Flight Simulator...
Natural Language Processing (NLP) in Python with 8 Projects
by Ankit Mistry- 4.2
10.5 hours on-demand video
it is easy to understand and it covers a wide range of NLP topics from the basics, machine learning to Deep Learning. We will see how to do Pre-Processing and make your data suitable for machine learning algorithm and apply different Machine Learning estimator (Logistic Regression, SVM, Decision Tree) for classifying text. Apply Machine Learning Model to Classify Text Data...
$11.99