Search result for Mathematics for machine learning: linear algebra Online Courses & Certifications
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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. Setup for Machine Translation Evaluation for Machine Translation Evaluation for Machine Translation...
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). For Data Science / Machine Learning / Artificial Intelligence...
$11.99
The Introduction to Quantum Computing
by Сысоев Сергей Сергеевич- 4.3
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Approx. 17 hours to complete
We will gently touch it in the beginning and then leave it apart, concentrating on the mathematical model of quantum computer, generously developed for us by physicists. This doesn't mean that the whole course is mathematics either (however there will be enough of it). Test for the Module 1 Test for the Module 2...
Quantum Machine Learning
by Peter Wittek- 0.0
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9 Weeks
Machine learning is a good candidate. Perform discrete optimization in ensembles and unsupervised machine learning with different quantum computing paradigms. Sample quantum states for probabilistic models. General linear algebra subroutines by quantum algorithms. · Distinguish between quantum computing paradigms relevant for machine learning · Identify opportunities in machine learning for using quantum resources...
$49
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. -Describe and use other ensemble methods for classification This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. K Nearest Neighbors for Classification...
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. -Describe and use other ensemble methods for classification This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. K Nearest Neighbors for Classification...
AI Workflow: AI in Production
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 17 hours to complete
There is an introduction to IBM Watson Machine Learning. Use IBM Watson OpenScale to assess bias and performance of production machine learning models. 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....
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Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
Practical Machine Learning by Example in Python
by Madhu Siddalingaiah- 0.0
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8 hours on-demand video
A Deep Dive into Building Machine Learning and Deep Learning models the models explained here are basic and thus perfect for beginners ,to understand how machine learning models are created based on the given problem and about techniques used to improve the accuracy. New mathematics and machine learning foundation section including Basic linear algebra...
$12.99
Unsupervised Deep Learning in Python
by Lazy Programmer Team- 4.5
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8.5 hours on-demand video
This course is the next logical step in my deep learning, data science, and machine learning series. Since this course is the 4th in the deep learning series, I will assume you already know calculus, linear algebra, and Python coding. If you want more than just a superficial look at machine learning models, this course is for you. linear algebra...
$34.99
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