This course provides a highly applicable, hands-on learning experience involving Deep Learning (Convolution & Recurrent Networks, etc.) and other advanced forms of Artificial Intelligence. Participants will learn to leverage such innovations for:
- Predictive Analytics
- Text Analytics & NLP
- Pattern Recognition
- Feature Engineering
- Time Series Analysis
- Computer Vision
What is Deep Learning?
Inspired by the way brains process information, the most important advancement in Artificial Intelligence today is Deep Learning (aka Deep Neural Nets). Imagine a progression of nodes (neurons), each containing aspects of knowledge and with the ability to communicate back and forth – only algorithmically. Deep Learning’s success lies primarily in the ability to learn hierarchical solutions to Pattern Recognition problems, which are more generic and transferable. This game-changer is enabling first adopters to more accurately predict the future, automate processes, harness untapped knowledge, and drive incredible results.
This is an intensive, one-week program designed to help working professionals and STEM grads become proficient in the most disruptive technologies ever developed in Data Science. You will learn to apply Deep Neural Networks towards a variety of problems and how to ensure that what you build is fully leveraged by your company.
Current and aspiring Data Scientists looking to increase their value, learn bleeding-edge skills, and solve real-world problems with A.I. & Deep Learning. Though not required, it is recommended that participants hold at least a STEM Bachelor’s degree. Lab sessions will take place in Python, so knowledge of that or other programming languages (e.g. R, Java, C#) is ideal.
- Architect A.I. & Deep Learning solutions.
- Build A.I. & Deep Learning applications.
- Interface with business users who may struggle to understand the technology.
- Recognize the limitations of AI & Deep Learning and avoid mistakes during production.
- Utilize best practices to ensure proper implementation and adoption.
- Demystify and visualize results for easy consumption by non-technical stakeholders.
- Lead A.I. & Deep Learning projects.
- Day 1: Intro to Artificial Intelligence/Machine Learning & Learning Fundamentals
- Day 2: Deep Learning (Deep Neural Networks) | Multi-Layered Perceptron
- Day 3: Convolution Neural Networks
- Day 4: Recurrent Neural Networks
- Day 5: Scaling Deep Neural Networks
- Final Project & Evaluation (Out of Class)
“INSOFE’s program on deep learning was excellent and insightful. It was very useful for me and my team. I liked the faculty’s passion & knowledge. I highly recommend it.”
“I thought Dr. Murthy’s course was interesting and informative, as well as, well organized…In terms of teaching, I appreciated learning about statistics-based analytical methods and when to apply them, as well as, receiving a refresher course on data mining and machine learning techniques.”
We initially engaged with Soothsayer Analytics on a week-long training session focused on a wide array of Data Science topics. The training was amazing and extremely well received across the board. This speaks to Soothsayer’s ability to tackle complex topics and break them down in a way that people at every level can understand and appreciate. Many participants reported that it was the best training that they had ever attended. Multiple use cases, tactical improvements, and the ability to leverage state-of-the-art Analytic techniques have come out of the training. From day one, Soothsayer’s intellectual ability was obvious, but we have been most impressed with their uncanny ability to provide context to problems. Our client engagement has been a very positive experience in which Soothsayer has met and/or exceeded our expectations. We have subsequently started working with them on a few Data Science projects, and this has also been a positive experience. I would recommend them to any company looking for a strong intellectual Data Science partner.
Chris is a great convener. He has the rare capacity to bring together people from disparate backgrounds and to help them find the common ground that allows magic to happen. I have benefitted greatly from his ability to stay on a difficult problem and to drive teams of experts to the problem and opportunity formulation that allows for great collaboration. He and his team are patient, extremely responsive, and impressively eclectic in their skills and their thirst for data science. It is my great good fortune to work with Chris and the fine folks at Soothsayer Analytics.