Search result for Machine learning and linear algebra Online Courses & Certifications
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Statistics Primer for Data Scientist's
by Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!- 4.2
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3 hours on-demand video
Statistics, Math, Linear Algebra If we talk in general about Data Science, then for a serious understanding and work we need a fundamental course in probability theory (and therefore, mathematical analysis as a necessary tool in probability theory), linear algebra and, of course, mathematical statistics. Data Mining and Data Visualization Machine Learning...
$12.99
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
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Approx. 11 hours to complete
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. Introduction to Forecasting and Time Series Analysis Deep Learning and Survival Analysis Forecasts...
MongoDB Aggregation Framework
by Nathan Leniz , Kirby Kohlmorgen- 4.6
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Approx. 19 hours to complete
This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with Aggregation Structure and Syntax Aggregation Structure and Syntax $project and Expressions $unwind and $group Schemas and accumulators Machine Learning with MongoDB Intro: Associative Role Learning...
The Math of Data Science: Linear Algebra
by Stephen Wang- 0.0
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8 Weeks
You will discover the basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems. Linear algebra is at the core of all of modern mathematics, and is used everywhere from statistics and data science, to economics, physics and electrical engineering....
$159
Math for Machine Learning
by Richard Han- 4
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5 hours on-demand video
Learn the core topics of Machine Learning to open doors to data science and artificial intelligence. You intend to pursue a masters degree or PhD, and machine learning is a required or recommended subject. I have created many successful online math courses that students around the world have found invaluable—courses in linear algebra, discrete math, and calculus....
$11.99
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
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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
This course is for students of machine learning or artificial intelligence as well as software engineers looking for a deeper understanding of how NLP models work and how to apply them. , TensorFlow, Keras), as well as proficiency in calculus, linear algebra, and statistics. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning....
AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
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Approx. 8 hours to complete
Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable about probability, statistics, linear algebra, and Python tooling for data science and machine learning. 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....
Artificial Intelligence Bootcamp 44 projects Ivy League pro
by Gopal Shangari- 3.9
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13.5 hours on-demand video
Be a Machine Learning, Matplotlib, NumPy, and TensorFlow pro. This video course is built for those with a NO understanding of artificial intelligence or Calculus and linear Algebra. We have many projects, such natural language processing , handwriting recognition, interpolation, compression, bayesian analysis, hyperplanes (and other linear algebra concepts). Traditional statistics and Machine Learning...
$11.99
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