Search result for Machine learning in finance Online Courses & Certifications
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Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
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Approx. 7 hours to complete
In this course you will design statistical experiments and analyze the results using modern methods. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems. Machine Learning Structure of a Machine Learning Problem...
Financial Engineering and Artificial Intelligence in Python
by Lazy Programmer Team- 4.7
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20 hours on-demand video
Have you ever thought about what would happen if you combined the power of machine learning and artificial intelligence with financial engineering? In addition, we will look at various non-traditional techniques which stem purely from the field of machine learning and artificial intelligence, such as: Unsupervised learning Reinforcement learning and Q-learning...
$199.99
AWS DeepRacer
by Blane Sundred , DeClercq Wentzel- 0.0
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Approx. 2 weeks
Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer. lesson 1 Intro to AWS DeepRacer Get an overview of what you’ll be learning and doing in the course. lesson 2 Reinforcement learning in DeepRacer DeepRacer definition. Learn about the platform by following what's included in the box....
Free
Data Science: Machine Learning algorithms in Matlab
by Geek Cafe- 3.4
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2.5 hours on-demand video
A-Z Guide to Implementing Classic Machine Learning Algorithms From Scratch and with Matlab and maths. In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning is embedded into all sorts of different products, and it's used in many industries, like finance, online advertising, medicine, and robotics....
$11.99
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
In most cases, the ultimate goal of a machine learning project is to produce a model. You'll build multiple models to address each of these problems using the machine learning workflow you learned about in the previous course. Linear Regression in Machine Learning Matrices in Linear Regression Train and evaluate clustering models to find useful patterns in unsupervised data....
Fast track to ML, Data Science and Steganography
by Dipnarayan Das- 0.0
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39 mins on-demand video
This is the first course in Udemy which will provide you detailed information about Steganography. - Machine Learning Measures / Performance metrics Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more....
$12.99
Applied Machine Learning with Python (Trading) - 2020
by The Trading Whisperer- 2.5
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4.5 hours on-demand video
Learn how to use machine learning such as random forest and SVMs to develop quantitative trading strategies in Python The course is designed to fully immerse you into the complete quantitative trading/finance workflow, going from hypothesis generation to data preparation, feature engineering and training testing of multiple machine learning algorithms (backtesting)....
$12.99
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Finance for Everyone: Decisions
by Arshad Ahmad- 4.7
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Approx. 13 hours to complete
Finance for Everyone: Decisions will introduce you to the workings of the free markets and the foundations of finance. You will learn how free markets and their “creative destruction” provide the architecture for the global economy and how those same markets move money in ways that create and destroy wealth. Keeping a Learning Portfolio...
AI Workflow: Enterprise Model Deployment
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 9 hours to complete
Analyze hyperparameters in machine learning models on Apache Spark Deploy machine learning algorithms using the Apache Spark machine learning interface 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. Introduction to Spark Machine Learning...
e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
by Dr William Cope , Dr Mary Kalantzis- 4.6
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Approx. 19 hours to complete
This course offers a wide variety of examples of learning technologies and technology implementations that, to varying degrees, demonstrate these affordances in action. Negotiating Learner Differences: Towards Productive Diversity in Learning Multimodal Literacies: Communication and Learning in the Era of Digital Media Ubiquitous Learning, Part 1A: Learning in Space and Time Active Knowledge Making, Part 2C: Memory Work in Learning...
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