Introduction to Machine Learning in Sports Analytics in University of Michigan Training
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Course Objectives
Machine Learning Concepts
This week will introduce the concept of machine learning and describe the four major areas of places it can be used in sports analytics. The machine learning pipeline will be discussed, as well as some common issues one runs into when using machine learning for sports analytics.
Support Vector Machines
In this week students will learn how Support Vector Machines (SVM) work, and will experience these models when looking at both baseball and wearable data. Coming out of the week students will have experience building SVMs with real data and will be able to apply them to problems of their own.
Decision Trees
This week will focus on interpretable methods for machine learning with a particular focus on decision trees. Students will learn how these models work in general, and see special uses of decision trees in combination with regression methods. In this week students will come to better understand how the python sklearn toolkit can be used for a breadth of supervised learning tasks.
Ensembles & Beyond
In this week of the course students will learn how many different models can be used together through ensembles, including the random forest method as a common use, as well as more general methods available in sklearn such as stacking and bagging. By the end of this week students will have a broad understanding of how methods such as SVMs, decision trees, and logistic regression can be used together to solve a problem with increasing performance.
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Course Completion
Internship and Practical Experience
Gain invaluable hands-on experience through our Introduction to Machine Learning in Sports Analytics in University of Michigan Training, where theoretical knowledge meets practical application. Elevate your skills, expand your network, and pave the way for a successful career journey.
Hands On Projects
Introduction to Machine Learning in Sports Analytics in University of Michigan Training, Experienced in leading hands-on projects, applying technical skills to drive successful outcomes. Proficient in project management and collaboration to ensure effective execution and delivery.
Resume Preparation
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Interview Preparation
Apptitude and Technical skills
Introduction to Machine Learning in Sports Analytics in University of Michigan Training, Develop your aptitude and technical prowess with our comprehensive programs. Master essential skills, stay ahead of industry trends, and unlock new opportunities for professional growth and success.
Mock Interview
Introduction to Machine Learning in Sports Analytics in University of Michigan Training, Hone your interview skills with our realistic mock interview sessions tailored to your desired role. Gain confidence, refine your responses, and secure your dream job.
Group Discussion
Introduction to Machine Learning in Sports Analytics in University of Michigan Training, Engage in dynamic group discussions to enhance communication, teamwork, and critical thinking skills. Cultivate confidence and articulate your ideas effectively in a collaborative setting.
Placement
Until You Get a Job in Top MNC
Introduction to Machine Learning in Sports Analytics in University of Michigan Training, Persevere until you secure a position in a top-tier MNC, where your expertise is valued, and your career aspirations are fulfilled. Stay focused, determined, and relentless in your pursuit of success.
Introduction to Machine Learning in Sports Analytics in University of Michigan Training, Acquire Industry-Recognized Certification
Introduction to Machine Learning in Sports Analytics in University of Michigan Training Certification is highly regarded by major international enterprises worldwide. This Certification verifies your theoretical understanding and practical abilities, regardless of your level of experience. Your prospects of obtaining prestigious positions in leading global businesses are increased by the Certification.
Introduction to Machine Learning in Sports Analytics in University of Michigan Training, which is highly regarded and improves your portfolio. After successfully completing our training program and hands-on exercises, certification is granted, guaranteeing proficiency.
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