Multi Commodity Exchange, QuantInsti & Dr. Ernest P. Chan – QuantInsti – Learning Track Machine Learning & Deep Learning in Financial Markets

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Multi Commodity Exchange, QuantInsti & Dr. Ernest P. Chan – QuantInsti – Learning Track Machine Learning & Deep Learning in Financial Markets

A highly recommended track for those interested in Machine Learning and its applications in trading. From simple logistic regression models to complex LSTM models, these courses are perfect for beginners and experts. Learn to tune hyperparameters, gradient boosting, ensemble methods, advanced techniques to make robust predictive models, use unsupervised learning in trading to enhance your algorithms.

LIVE TRADING

• Master artificial intelligence techniques and packages essential for financial markets prediction.
• Hands-on training on creating predictive models using Regression algorithm, Support Vector Classifier, Decision Trees, Random Forests, Neural Networks, Activation Layers and more.
• Understand why and how predictive models fail and what can be done to improve them; cross-validation techniques, gradient boosting, ensemble methods, hyper-parameter tuning and more.
• Use cutting-edge research in artificial intelligence to create improved models: Recurrent Neural Networks, Long Short Term Memory Unit.
• Use predictive models in live trading. Save and update your model regularly for live trading. Know how to use the models for live trading.
• Describe, implement and list the differences between the workings of k-means clustering algorithm and DBSCAN clustering algorithm.
• Code and fine-tune various machine learning algorithms from simple to advance in complexity. If you consider machine learning as an important part of the future in financial markets, you can’t afford to miss this specialization.
  

  Frequently Asked Questions:

  1. Innovative Business Model:
     • Embrace the reality of a genuine business! Our approach involves forming a group buy, where we collectively share the costs among members. Using these funds, we purchase sought-after courses from sale pages and make them accessible to individuals facing financial constraints. Despite potential reservations from the authors, our customers appreciate the affordability and accessibility we provide.
  2. The Legal Landscape: Yes and No:
     • The legality of our operations falls into a gray area. While we lack explicit approval from the course authors for resale, there’s a technicality at play. When procuring the course, the author didn’t specify any restrictions on resale. This legal nuance presents both an opportunity for us and a boon for those seeking budget-friendly access.
  3. Quality Assurance: Unveiling the Real Deal:
     • Delving into the heart of the matter – quality. Acquiring the course directly from the sale page ensures that all documents and materials are identical to those obtained through conventional means. However, our differentiator lies in going beyond personal study; we take an extra step by reselling. It’s important to note that we are not the official course providers, meaning certain premium services aren’t included in our package:
       • No coaching calls or scheduled sessions with the author.
       • No access to the author’s private Facebook group or web portal.
       • No entry to the author’s exclusive membership forum.
       • No direct email support from the author or their team.

     We operate independently, aiming to bridge the affordability gap without the additional services offered by official course channels. Your understanding of our unique approach is greatly appreciated.

  Refund is acceptable:

  • Firstly, item is not as explained
  • Secondly, Item do not work the way it should.
  • Thirdly, and most importantly, support extension can not be used.

  Thank you for choosing us! We’re so happy that you feel comfortable enough with us to forward your business here.