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Natural Language Processing with Sequence Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.5
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Approx. 22 hours to complete
If you’d like to prepare additionally, you can take Course 1: Neural Networks and Deep Learning of the Deep Learning Specialization. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Long Short-Term Memory (Deep Learning Specialization C5) One Shot Learning One Shot Learning...
Evaluations of AI Applications in Healthcare
by Tina Hernandez-Boussard , Mildred Cho- 4.5
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Approx. 11 hours to complete
Learning Objectives Learning Objectives Learning Objectives Learning Objectives Learning Objectives...
Linear Regression and Modeling
by Mine Çetinkaya-Rundel- 4.7
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Approx. 10 hours to complete
Lesson Learning Objectives Lesson Learning Objectives Lesson Learning Objectives Lesson Learning Objectives Lesson Learning Objectives...
Python & Machine Learning for Financial Analysis
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
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23 hours on-demand video
If the answer is yes, then welcome to the “The Complete Python and Machine Learning for Financial Analysis” course in which you will learn everything you need to develop practical real-world finance/banking applications in Python! In addition, we will cover unsupervised machine learning strategies such as K-Means Clustering and Principal Components Analysis to perform Baking Customer Segmentation or Clustering....
$17.99
Data Science and Machine Learning For Beginners with Python
by Bluelime Learning Solutions- 4.2
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8 hours on-demand video
Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. Explore Machine Learning Frameworks...
$12.99
Blockchain and Cryptocurrency Explained
by Robert Dittmar , Andrew Wu- 4.7
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Approx. 9 hours to complete
Fintech Innovations: Series Map and Learning Goals Learning from a Case Keep Learning with Michigan Online...
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot....
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Intro to Data Analysis
by Caroline Buckey- 0.0
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Timeline Approx. 6 Weeks
lesson 2 NumPy and Pandas for 1D Data Start learning to use NumPy and Pandas to make the data analysis process easier. lesson 3 NumPy and Pandas for 2D Data Continue learning about NumPy and Pandas, this time focusing on two-dimensional data....
Free
Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
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4 Weeks
Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. The underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines...
$99
Educating Deaf Children: Becoming an Empowered Teacher
by Odette Swift , Tara Kuhn- 4.9
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Approx. 16 hours to complete
We also cover various accommodations and modifications that you can apply in your classroom and learning environment to create an accessible learning experience for Deaf children. Understanding Additional Barriers to Learning Interview: Personal Experiences of Barriers to Learning Creating an accessible learning experience Modifying the learning environment Learning from an empowered teacher...
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