Search result for Machine learning in finance Online Courses & Certifications
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Data for Machine Learning
by Anna Koop- 4.4
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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
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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
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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...
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
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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....
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learn...
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. This course concentrates on recognizing and solving convex optimization problems that arise in applications. Candidate in Computer Science at Stanford University. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. in Computer Science from Stanford University....
Deep Learning and Neural Networks for Financial Engineering
by Ken Perry- 0.0
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7 Weeks
Expand your machine learning toolkit to include deep learning techniques, and learn about their applications within finance. Deep Learning ventures into territory associated with Artificial Intelligence. utilize neural network and deep learning techniques and apply them in many domains, including Finance...
$799
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Application of AI, InsurTech, and Real Estate Technology
by Christopher Geczy- 4.6
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Approx. 4 hours to complete
In this course, you’ll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech. Through study and analysis of Artificial Intelligence and Machine Learning, you’ll learn how InsurTech is redefining the insurance industry. Emerging Technologies: AI & Machine Learning Machine Learning...
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....
Complete Machine Learning Course - Learn From Scratch
by ABD Muhammad- 3.3
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3 hours on-demand video
Learn Machine Learning from scratch and go from zero to hero in Machine Learning Welcome to this course "Complete Machine Learning Course - Learn From Scratch". In this course you will learn from scratch....
$12.99
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