This is the official Github repository for the 2 day Masterclass.
- Day 1: Introduction to AI and Overview, Project Setup, Code Samples and Introduction to Data Analytics, Business & Venture Applications, Blockchain overview, Get Value from your Data
- Day 2: Innovation Leadership, Challenges in Data Science, Project Updates and Architecture, Big Data and Cloud Computing, The Future of Data Strategies, Advanced topics, Reflection and Next Steps
To download this Github repository just press the green Clone or Download button to the top right.
| Time | Day 1: Breadth | Day 2: Depth |
|---|---|---|
| Session1 9.00 - 10.20am |
Program Introduction with Objectives (20mins) Executive Level Overview of AI, ML, and Research (40mins) Introduction to tools and installations (20mins) |
Standard AI Development Stack: Numpy, pandas, matplotlib (40mins) Getting and Working with Data (40mins) |
| 10.20 - 10.40am | Coffee Break | Coffee Break |
| Session2 10.40 - noon |
Define Projects: A. Learning Basics B. Defining Work Project C. Improving Existing Project Finalize projects |
Project finalization Architecture Discussion and Feedback + Lowtech demo presentations (80mins) |
| Lunch 12.00 - 1.30pm |
Possible Discussion and Work Session | Possible Discussion and Work Session |
| Session3 1.30 - 3.00pm |
Innovation Leadership Overview (45 mins) Realizing Blockchain's value: Bitcoin an indepth case study (45 mins) |
Advanced Topics Neural Networks, TensorFlow, Computer Vision, Keras and Cats vs Dogs! (50mins) Strategies and tools to handle Big Data - Spark, pyspark, Databricks, and AWS (30mins) |
| 3.00 - 3.30pm | Coffee Break | Coffee Break |
| Session4 3.30 - 5.00pm |
Machine Learning in Python: - Real World Data and Example (60 mins) - ML Algorithm Comparison (20mins) - Reflection and Q&A (10mins) |
Next Steps: - Learning Summary and Discussion - Future Roadmap - Staying Connected |
To download the material to your computer please Install git and use the Terminal / Command Prompt to clone the repository.
git clone https://github.com/afo/dataXprague/Every time the repository is updated, to get the most recent version, cd to the cloned dataXprague folder and run:
git pullFor more information about Version Control, git, and Github please read this excellent guide: Introduction to git and Github
Today, the world is literally reinventing itself with Data and AI. However, neither leading companies nor the world’s top students have the complete knowledge set to participate in this newly developing world. This 2-day course provides the tools and understanding to boost any student’s ability to create the emerging data applications of the future. This bootcamp is suitable for individuals interested in hands-on practical understanding of data science and application opportunities in new ventures, industry project areas, and potential support of research with data technologies.
This bootcamp is set of intensive topics selected from the the Applied Data Science with Venture Applications Course at UC Berkeley (IEOR 135/290). The bootcamp is a high paced immersion into data and data science principles in a uniquely practical approach. The 2-day program contains theory segments, code samples in Python and in Jupyter Notebooks, and a real-life wide ranging project that can be started over the first 2 days with guidance for instructors. The course includes a real life code development project.
List of Dependencies: