Search result for Machine learning models Online Courses & Certifications
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Implementation of Large-scale Math Optimization Models
by Dr. Spyros Giannelos- 4.7
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2 hours on-demand video
If you know how to develop optimization models (i. It finds application in machine learning and in artificial intelligence. Because machine learning is all about making optimal predictions....
$11.99
Deep Learning: Convolutional Neural Networks in Python
by Lazy Programmer Inc.- 4.6
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12 hours on-demand video
Use CNNs for Image Recognition, Natural Language Processing (NLP) +More! For Data Science, Machine Learning, and AI Learn about one of the most powerful Deep Learning architectures yet! The basics of machine learning and neurons (just a review to get you warmed up!) If you want more than just a superficial look at machine learning models, this course is for you....
$19.99
Making Predictions with Data and Python
by Packt Publishing- 4
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4 hours on-demand video
Build Awesome Predictive Models with Python In this hands-on course, you will learn how to build predictive models with Python. He worked in the Central Bank of Guatemala as an Economic Analyst, building models for economic and financial data. He also has technical skills in R programming, Spark, SQL (PostgreSQL), MS Excel, machine learning, statistical analysis, econometrics, mathematical modeling....
$11.99
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 11 hours to complete
This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
Deep Learning: Advanced Natural Language Processing and RNNs
by Lazy Programmer Inc.- 4.6
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8.5 hours on-demand video
neural machine translation If you want more than just a superficial look at machine learning models, this course is for you. My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch...
$21.99
Machine learning with Scikit-learn
by Francisco Juretig- 3.6
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6.5 hours on-demand video
Learn the most important machine learning techniques using the best machine learning library available If you follow this course, you should be able to handle quite well a machine learning interview. We'll explain what are the differences between AI, machine learning (ML), statistics, and data mining. In essence, machine learning can be divided into two big groups: supervised and unsupervised learning....
$11.99
Learning Path: Python: Effective Data Analysis Using Python
by Packt Publishing- 3.9
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10.5 hours on-demand video
After completing this Learning Path, you will be well-equipped to extract data even from dynamic and complex websites by using Python web scraping tools, and get a better understanding of the data visualization concepts. His work is focused on the development of machine learning models and applications to use information from structured and unstructured data....
$12.99
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Finding Mutations in DNA and Proteins (Bioinformatics VI)
by Pavel Pevzner , Phillip Compeau- 4.7
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Approx. 24 hours to complete
The approach we will use is based on a powerful machine learning tool called a hidden Markov model. Finally, you will learn how to apply popular bioinformatics software tools applying hidden Markov models to compare a protein against a related family of proteins. Week 4: Introduction to Hidden Markov Models Viterbi Learning Baum-Welch Learning...
Introduction to the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 8 hours to complete
If you are new to data science, the Tidyverse ecosystem of R packages is an excellent way to learn the different aspects of the data science pipeline, from importing the data, tidying the data into a format that is easy to work with, exploring and visualizing the data, and fitting machine learning models....
Data Science Project: MATLAB for the Real World
by Michael Reardon , Brandon Armstrong , Erin Byrne , Adam Filion , Heather Gorr , Maria Gavilan-Alfonso , Matt Rich , Isaac Bruss- 4.8
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Approx. 13 hours to complete
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