Machine Learning Is Becoming A New Standard For Technology Products
Aspiring engineers and scientists need to understand the spectrum of machine learning techniques and how to implement them in real-world projects to maximize their professional capabilities and ability to impact the world.
Codesmith's Data Science & Machine Learning Program is designed to prepare residents to work in the field of machine learning as full-stack practitioners. Residents will gain the experience required to master the entire process of building a machine learning product - from data sourcing to model deployment.
Residents Make A Real-World Impact In Machine Learning
Previous residents of the program have worked on Google Brain’s TensorFlowJS project - an open-source deep learning framework that enables machine learning engineers and data scientists to train and run web-based machine learning models.
STATISTICAL MODELING & CLASSICAL MACHINE LEARNING
DATA ACQUISITION & MANAGEMENT
Meet Your Instructors
Codesmith's team of dedicated curriculum developers, instructors, program managers and machine learning fellows provide holistic support to residents - so they can achieve their goals both during the program and afterward.
Lead Instructors & Curriculum Developers
Alex Zai : As Co-Lead Instructor & Curriculum Developer, Alex will lead many core lectures covering mainly engineering and hardware topics and act as a mentor for research and open source product development.
Alex is the co-founder of Codesmith and a former machine learning engineer at Amazon where he worked on their deep learning library, MXNet, which was used to power many of their AI product offerings. He is the author of the textbook Deep Reinforcement Learning in Action, published by Manning Publications.
Jonathan Bechtel : As Co-Lead Instructor & Curriculum Developer, Jonathan will lead many core lectures covering mainly analytical and quantitative topics and act as a mentor for research and open source product development.
Jonathan worked as a data scientist in the financial industry for 5 years, where he helped hedge funds and other market participants analyze patterns in time series data and build market forecasts using machine learning and statistical techniques to inform their investment strategies. He has taught Data Science & Machine Learning for 5 years.
Upcoming Program Dates
Be a part of Codesmith’s Data Science & Machine Learning BETA cohort! Tuition for DSML BETA will be $10,000. Tuition for Cohort 1 and all subsequent cohorts in 2023 will be $20,925.
We provide a range of options to help you finance your education, including payment plans and scholarships. Email us at email@example.com if you have any questions regarding your specific situation.