Virtual program of:edX |
Develop a strong understanding of common machine learning applications in finance Learn how to successfully use classical machine learning techniques such as regression and classification Identify neural networks and deep learning techniques and architectures and their applications in finance Develop a deeper understanding of supervised learning (regression and classification) and unsupervised learning, and the appropriate applications of both Construct's machine learning models to solve practical problems in finance
4 months. 4 - 6 hours per week suggested.
2 virtual courses in soft skills
Competitive organizations need teams that can harness massive and complex data sets, gaining insights that are strategic and actionable.
In the financial sector, machine learning has become one of the most critical tools for decision making.
Whether it's optimizing operations, informing investment decisions, or assessing risk, financial professionals with machine learning skills that enhance decision-making will have a discernible competitive advantage.
In this professional certification program, you'll learn the key skills to build machine learning models and use data to inform decisions.
If you are a trader, financial analyst or programmer; Whether you focus on portfolio management or quantitative analysis, you'll gain the skills to apply classic machine learning and neural network/deep learning solutions to financial problems.
Just as important: You'll learn a systematic approach to problem solving through data analysis, increasing your value in the emerging data-driven world.
Combined with theoretical and practical advice, you will be well positioned to solve the supervised and unsupervised learning tasks that will be of critical importance to all organisations.
The urgent demand for machine learning in finance will only grow.
But the skills you'll develop in this program are also key to decision-making in many other domains.
Having these skills will increase your value in many industries and will be invaluable to your career.
You'll learn a systematic approach to problem solving through data analysis, increasing your value in the emerging data-driven world.
Combined with theoretical and practical advice, you will be well positioned to solve the supervised and unsupervised learning tasks that will be of critical importance to all organisations.
The urgent demand for machine learning in finance will only grow.
But the skills you'll develop in this program are also key to decision-making in many other domains.
Having these skills will increase your value in many industries and will be invaluable to your career.
You'll learn a systematic approach to problem solving through data analysis, increasing your value in the emerging data-driven world.
Combined with theoretical and practical advice, you will be well positioned to solve the supervised and unsupervised learning tasks that will be of critical importance to all organisations.
The urgent demand for machine learning in finance will only grow.
But the skills you'll develop in this program are also key to decision-making in many other domains.
Having these skills will increase your value in many industries and will be invaluable to your career.
You will be well positioned to solve the supervised and unsupervised learning tasks that will be of critical importance to all organisations.
The urgent demand for machine learning in finance will only grow.
But the skills you'll develop in this program are also key to decision-making in many other domains.
Having these skills will increase your value in many industries and will be invaluable to your career.
You will be well positioned to solve the supervised and unsupervised learning tasks that will be of critical importance to all organisations.
The urgent demand for machine learning in finance will only grow.
But the skills you'll develop in this program are also key to decision-making in many other domains.
Having these skills will increase your value in many industries and will be invaluable to your career.
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