Classical machine learning algorithms
Program start date | Application deadline |
2023-02-03 | - |
2023-02-04 | - |
2023-02-17 | - |
2023-02-18 | - |
Program Overview
Classical Machine Learning Algorithms
Overview
This module is the second part of the "Data Science and Modeling" certificate. The objective is to get to know and use the fundamental techniques of machine learning and to gauge the impact of such tools in a company.
Objectives
- An in-depth knowledge of the fundamentals of machine learning and its business applications.
- Technical understanding of the basics of machine learning
- Concrete experience with machine learning models and their applications to give a new dimension to your company.
Content
- Day 1: Clustering methods and classification
- Getting to grips with the fundamentals of machine learning with clustering (data partitioning) and classification algorithms.
- The main concepts covered in this module are: the Scikit-learn library, clustering and classification methods.
- Day 2: Regression Methods and Time Series
- Learn how to use regression and time series methods, and then apply them in business.
- The main concepts covered in this module are: regression, time series and data modeling.
- Day 3: Business applications of time series
- Experience with time series methods to solve a business problem using machine learning.
- The main concepts covered in this module are: data modeling and time series using Scikit-learn.
Details
- Prerequisite: Good knowledge of mathematical tools (linear algebra, probability, statistics) and programming (Python).
- Location: Cachan
- Duration of the training: 4 days
- Dates: February 3, 4, 17 and 18, 2023
- Price: € 1950 (excl. taxes)
Program Outline
Outline:
- Module 1: Clustering methods and classification
- Introduction to machine learning and its business applications
- Concepts: Scikit-learn library, clustering and classification methods
- Module 2: Regression Methods and Time Series
- Regression and time series methods
- Concepts: Regression, time series and data modeling
- Module 3: Business applications of time series
- Case study on using time series methods to solve a business problem
- Concepts: Data modeling and time series using Scikit-learn
Teaching:
- Trainers/Teachers:
- Hugo Hadjur, Assistant Professor in IA & Data Science, PhD student at ENS Lyon and aivancity
- Levente Szabados, Visiting professor in Data Science, Lecturer at Frankfurt school of finance & management
Overview:
aivancity School for Technology, Business & Society, Paris - Cachan is a Grande Ecole specializing in Artificial Intelligence (AI) and Data Science. It is a relatively new institution, founded in 2020, and has quickly gained recognition for its innovative approach to education.
Services Offered:
aivancity offers a range of services to its students, including:
Academic Programs:
aivancity provides a variety of academic programs, including a Grande Ecole program, Bachelor of Science in Applied AI, and various Master of Science programs in Data Engineering, Data Management, and AI for Business.Executive Education:
aivancity offers professional development programs for individuals and businesses, including certificates, short programs, and customized programs.International Opportunities:
aivancity provides opportunities for international study and exchange programs.Financial Aid:
aivancity offers scholarships and financial aid to eligible students.Career Services:
aivancity provides career guidance and support to help students find jobs in the AI and data science fields.Student Life and Campus Experience:
Key Reasons to Study There:
State-Recognized and Accredited:
aivancity is recognized by the French Ministry of Higher Education and Research, ensuring the quality of its programs.Hybrid Approach:
aivancity's curriculum combines AI, business management, and ethics, providing a well-rounded education for students.Industry Partnerships:
aivancity has strong partnerships with leading companies in the AI and data science fields, providing students with valuable industry connections and opportunities.Focus on Employability:
aivancity's programs are designed to prepare students for successful careers in the AI and data science fields.Innovative Pedagogy:
aivancity utilizes innovative teaching methods, including hybrid learning, project-based learning, and real-world case studies.Academic Programs:
aivancity offers a variety of academic programs, including:
Grande Ecole Program (MSc Artificial Intelligence & Data Science):
This program provides a comprehensive education in AI and data science, with a focus on both technical skills and business acumen.Bachelor of Science in Applied AI:
This program prepares students for careers as AI developers.Master of Science in Data Engineering & Cloud Computing:
This program focuses on the technical aspects of data engineering and cloud computing.Master of Science in Data Management:
This program focuses on the management and analysis of large datasets.Master of Science in Artificial Intelligence for Business:
This program prepares students for careers in business applications of AI.Other:
aivancity is committed to ethical AI development and has a strong focus on social responsibility. The institution is also actively involved in research and innovation in the field of AI.