22nd - 24th Sept, | 2023 SPSU Campus, Udaipur
MANAGEMENT DEVELOPMENT PROGRAMME
Machine Learning for Business Applications
IN ASSOCIATION WITH
PROGRAMME MANAGERS | Prof. Dipesh Vaya , Prof. Sarika Singh
Background
The emergence of data as the new oil and the Internet as the primary means of access has led companies to recognize the significance of understanding and interpreting data. With the ongoing dominance of the fourth industrial revolution and disruptive technologies, it has become essential for businesses to familiarize themselves with how data can support intelligent decision-making for managers.
ML models have empowered businesses to extract valuable insights from data, optimize processes, and improve overall efficiency. The widespread application of ML in various industries, including self-driving cars, robotics, medical diagnostics, and search engines, has created a high demand for skilled managers in this domain. To meet this demand, our programme aims to equip you with the necessary expertise to address real-world challenges and secure your career’s future. The programme fosters a culture of asking the right questions for data analysis, recognizing patterns, and extracting valuable insights. Consequently, it caters to a wide range of functions, including human resource management, marketing, operations, information technology, strategy, healthcare, finance, and other related fields.
Get Programme Info
Objectives
Familiarization with
applications of machine
learning in business problems
Gain a foundational
perspective of supervised
and unsupervised ML
Introduction to SAS
Viya technology
Outline and Topics
Data
Preparation
- Data exploration
- Feature extraction
- Input transformations
- Feature selection
- Variable clustering
- Selecting your algorithm
Decision Trees and Ensembles of Trees
- Tree-structure models
- Recursive partitioning
- Pruning
- Ensembles of trees
Neural
Networks
- Network architecture
- Network learning and optimization
Support Vector Machines and Additional Topics
- Large-margin linear classifier
- Methods of solution
- Nonlinear classifier: Kernel Trick
- Additional tools
Model Assessment and Deployment
- Model assessment and comparison
- Model deployment
Pedagogy
Utilizing a variety of interactive teaching and training techniques, this programme ensures a
dynamic learning experience. These methods encompass feedback sessions, case studies,
classroom discussions, lectures, presentations, and practical exercises. Furthermore, the
programme provides hands-on experience in constructing models using multiple ML tools. It
imparts insights into how businesses can embrace a continuous flow of data, turning it into
valuable research and development.
Who Should Attend
- Business executives from all organizational functions, industries, and sectors
- Individuals who are interested in pursuing a career in Machine Learning & Data Analytics
- Additionally, entrepreneurs and consultants are also encouraged to join
SAS is the world’s leader in AI and Analytics
But what does that mean?
It means we can use SAS software to rapidly turn huge amounts of complex data into usable insights. With SAS, you can apply the most advanced analytics, business intelligence, data management and Al solutions to solve toughest business problems. SAS is recognized globally by leading MNCs for its cutting-edge technology and innovative initiatives.
88 of the top 100 of the 2021 Fortune 500 list are SAS customers or their affiliates
SAS Client Network
SAS Partner Network
Outcomes
Joint certificate by
SAS and SPSU
SAS and SPSU
Digital Badge by SAS –
verified credentials link
and easily shareable on
social media
Access to SAS Learning
Management System
Venue &
Duration
The residential programme will take place at SPSU Campus, Bhatewar, Udaipur from September 22 to September 24, 2023. Participants can avail accommodation at SPSU Campus starting from noon on September 21, 2023, until the forenoon of September 25, 2023.
Faculty
Faculty will comprise of experienced SPSU faculty and SAS industry trainers with a
diverse industry and academia experience
Pricing & Discount
We are offering this programme on a special pricing and discount. The current rates are ₹50,000 + GST, whereas, if you register for the Early Bird discount before 5th September, 2023 you can avail a 20% discount, making it ₹40,000 + GST.
About SPSU
Sir Padampat Singhania University (SPSU) was established by JK Cement Nimbahera Foundation through legislation of ‘Sir Padampat Singhania University Act 2008’ by Govt. of Rajasthan. It is located on a 100-acre campus with all modern amenities. The university has three schools: School of Engineering, School of Management and School of Liberal Studies, offering programmes at the undergraduate, postgraduate and doctoral levels.
Eminent
Faculty
Global
Certifications
20+ State-Of-The-Art
Hi-Tech Labs
100+ Acres Clean
& Green Campus
24×7 WiFi
Enabled Campus
Industry
Partnerships
Centers of
Excellence
Modern AC
Studio Hostels
24 Hours Medical Facility
with Doctor on Campus
Organized & Hygienic Multi
Cuisine Mess & Food Court
Gymnasium and 10+ Indoor
& Outdoor Sports Facilities
24 Hours Medical Facility
with Doctor on Campus
SPSU Rankings
Business World Best
Engineering colleges and
universities (June 2023)
Ranked 10th among
private universities and
colleges of North India
Ranked 2nd among
private universities and
colleges of Rajasthan
Ranked 2nd among
private universities and
colleges of Rajasthan
Outlook i-care
university rankings 2022
Ranked 3rd in
Rajasthan
Ranked 3rd in
Rajasthan
Degree Options for Working Professionals
MBA | MBA - Business Analytics with SAS | M.Tech
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