Search result for Linear models Online Courses & Certifications
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Complete Python Machine Learning & Data Science for Dummies
by Abhilash Nelson- 4.1
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10.5 hours on-demand video
Linear Algorithms - Logistic Regression, Linear Discriminant Analysis. Linear Algorithms - Linear Regression, Ridge Regression, LASSO Linear Regression and Elastic Net Regression. Compare Logistic Regression, Linear Discriminant Analysis, k-Nearest Neighbours, Classification and Regression Trees, Naive Bayes, Support Vector Machines. Save and Load (serialize and deserialize) Machine Learning Models steps For Finalizing regression models - boston housing dataset...
$11.99
Statistics and R
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. 2x: Introduction to Linear Models and Matrix Algebra...
$249
First Steps in Linear Algebra for Machine Learning
by Dmitri Piontkovski , Vsevolod L. Chernyshev- 4.1
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Approx. 21 hours to complete
The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s practical skills of using linear algebra methods in machine learning and data analysis. Introduction to Linear Algebra Linear Algebra and Calculus...
24h Pro data science in R
by Francisco Juretig- 3.6
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18.5 hours on-demand video
Practice data science with 24hs of material using real examples This course explores several modern machine learning and data science techniques in R. As you probably know, R is one of the most used tools among data scientists. We showcase a wide array of statistical and machine learning techniques. In particular: ...
$12.99
Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay , Tommi Jaakkola , Karene Chu- 0.0
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15 Weeks
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Implement and analyze models such as linear models, kernel machines, neural networks, and graphical models Choose suitable models for different applications...
$300
Deep Learning with Python and PyTorch
by Joseph Santarcangelo- 0.0
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6 Weeks
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. Also, you will learn how to train these models using state of the art methods....
$99
Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
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Approx. 31 hours to complete
c) Use T5 and BERT models to perform question-answering, and , TensorFlow, Keras), as well as proficiency in calculus, linear algebra, and statistics. Please make sure that you’ve completed course 3 - Natural Language Processing with Sequence Models - before starting this course....
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Python for Machine Learning and Data Mining
by CARLOS QUIROS- 3.6
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12.5 hours on-demand video
- Linear and Multiple Regression- Regularization- Polynomial Regression- Logistic Regression- Cross Validation- Support Vector Machines for Regression and Classification- Decision Trees and Random Forest- KNN algorithm- GridSearchCV- Principal Component Analysis (PCA)- Linear Discriminant Analysis (LDA)- Kernel Principal Component Analysis (KPCA)- Ensemble methods- K means clustering analysis- Market Basquet Analysis- Time Series with ARIMA models- Gradient Descent- Multilayer Neural Networks...
$11.99
Computational Neuroscience: Neuronal Dynamics of Cognition
by Wulfram Gerstner- 0.0
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6 Weeks
This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to analyze the collective dynamics of thousands of interacting neurons. This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to answer the above questions. Understand cortical field models of perception...
$139
Principles of fMRI 1
by Martin Lindquist, PhD, MSc , Tor Wager, PhD- 4.6
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Approx. 8 hours to complete
This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). Module 15: General Linear Model Module 17: Details of Building GLM Models Module 18: Linear Basis Sets...
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