Search result for Supervised learning machine learning Online Courses & Certifications
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Deep Learning for Business
by Jong-Moon Chung- 4.4
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Approx. 8 hours to complete
Business with Deep Learning & Machine Learning 1 Business Considerations in the Machine Learning Era 2 Business Strategy with Machine Learning & Deep Learning 3 Why is Deep Learning Popular Now? Deep Learning Computing Systems & Software 1 Deep Learning Open Source Software / 3. 1 What is Deep Learning & Machine Learning?...
Learn Data Science Deep Learning, Machine Learning NLP & R
by Cinnamon TechX- 4.5
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70.5 hours on-demand video
WHY IS MACHINE LEARNING SO SUCCESSFUL? While supervised and unsupervised learning, and specifically deep learning, are now widely used for modeling human language, there’s also a need for syntactic and semantic understanding and domain expertise that are not necessarily present in these machine learning approaches. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few....
$12.99
Introduction to Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
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Approx. 17 hours to complete
Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Limitations and Ethics of Machine Learning Machine Learning on Embedded Devices Machine Learning Specific Hardware...
Artificial Intelligence
by Thad Starner- 0.0
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Approx. 4 months
This course gives a survey of topics in AI along with in-depth foundational concepts such as classical search, probability, machine learning, logic and planning. lesson 1 Search Game Playing Basics of Search Logic and Planning lesson 2 Constraints and Bayes Nets Constraint Satisfaction Probability Bayes Nets lesson 3 Basics of Machine Learning Simulated Annealing Machine Learning Pattern Recognition through Time...
Free
Getting Started with AWS Machine Learning
by Blaine SundrudTop Instructor- 4.5
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Approx. 9 hours to complete
Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. Introduction to Machine Learning What is Machine Learning? Machine Learning Algorithms Explained Machine Learning Pipeline The Machine Learning Process Key problems that Machine Learning can address and ultimately help solve....
Machine Learning & Data Science A-Z: Hands-on Python 2021
by Navid Shirzadi- 4.5
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14.5 hours on-demand video
Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python Are you interested in data science and machine learning, but you don't have any background, and you find the concepts confusing? Chapter2: Useful Machine Learning libraries (NumPy, Pandas & Matplotlib) Chapter4: Machine Learning Types Chapter5: Supervised Learning: Classification...
$15.99
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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Approx. 10 hours to complete
This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering....
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Machine Learning Interview Preparation
by Arpan Chakraborty , Brynn Claypoole , Horatio Thomas- 0.0
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Approx. 1 week
In this course, you’ll learn exactly what to expect during a machine learning interview....
Free
The Complete Supervised Machine Learning Models in Python
by Data Science Academy- 3.9
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11 hours on-demand video
In this course, you are going to learn all types of Supervised Machine Learning Models implemented in Python....
$9.99
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
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Approx. 7 hours to complete
It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues. Machine Learning Machine Learning Machine Learning slides Machine Learning Machine Learning Machine Learning Foundational concepts and intuitions about machine learning techniques...
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