Search result for Mathematics in machine learning Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 1,712 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. Machine learning in particle identification Search for Dark Matter Hints with Machine Learning at new CERN experiment...
AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. Module 2: Machine Learning on AWS AWS Machine Learning Stack AWS Deep Learning AMIs Data in Machine Learning...
Data for Machine Learning
by Anna Koop- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Machine Learning Process Lifecycle Review Preparing your Data for Machine Learning Success...
Machine Learning: Classification
by Emily Fox , Carlos Guestrin- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 21 hours to complete
You will implement these technique on real-world, large-scale machine learning tasks. Welcome to the classification course, a part of the Machine Learning Specialization Important Update regarding the Machine Learning Specialization Overfitting & Regularization in Logistic Regression Task of learning decision trees from data Early stopping in learning decision trees Timeline of scalable machine learning & stochastic gradient...
Matrix Factorization and Advanced Techniques
by Michael D. Ekstrand , Joseph A Konstan- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Advanced Machine Learning Learning Recommenders Learning to Rank: Interview with Xavier Amatriain Programming Hybrids & Learning to Rank Programming Hybrids and Machine Learning Description...
The Absolute Beginners Guide to Data Science
by Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!- 0.0
-
![]()
![]()
![]()
![]()
![]()
42.5 hours on-demand video
Build your mathematics and statistics foundations strongly and ensure your Data science fundamentals are in place! Not only are Data Scientists responsible for business analytics, but they are also involved in building data products and software platforms, along with developing visualizations and machine learning algorithms You will understand the mathematics and statistics behind Machine Learning...
$12.99
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. Benefits of Reinforcement Learning in Your Trading Strategy Idiosyncrasies and challenges of data driven learning in electronic trading Understand the structure and techniques used in reinforcement learning (RL) strategies....
Related searches
Applied Machine Learning in R
by Bogdan Anastasiei- 4.5
-
![]()
![]()
![]()
![]()
![]()
8 hours on-demand video
Get the essential machine learning skills and use them in real life situations So we’ll talk about supervised and unsupervised machine learning techniques, about the distinctions between prediction and inference, about the regression and classification models and, above all, about the bias-variance trade-off, a crucial issue in machine learning. * how to train the predictive model in R...
$12.99
Machine Learning Foundations: A Case Study Approach
by Emily Fox , Carlos Guestrin- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
Do you need a deeper understanding of the core ways in which machine learning can improve your business? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications. -Identify potential applications of machine learning in practice....
VSD - Machine Intelligence in EDA/CAD
by Kunal Ghosh- 4.2
-
![]()
![]()
![]()
![]()
![]()
4 hours on-demand video
Listen from CEO/architect himself on Machine learning Then we will give overall introduction to categories of machine learning (supervised and unsupervised learning) and go about discussing that a little bit. This is Machine Learning in general with a focus on CAD, EDA and VLSI flows. solution flow, lets say, you as the company wants to add a feature in...
$12.99
Previous
