CL Data School

The Machine Learning Retreat

A hands-on skill building program for CXOs


For a learning vacation with a beach

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The machine learning retreat is a place for top executives (CXOs, VPs, directors, business owners, etc.) from a diverse set of companies to get a practical introduction to machine learning. It is a 2 day, 16 hour intensive hands-on learning session when you will go back to school and solve introductory problems using the cutting edge data science methodologies. The course is taught in a way that leaders from non-programming backgrounds can enjoy the thrill of using solving ML problems. Hosted on the sunny beaches of Goa, the program is designed for fun and will be conducted in a free-wheeling back to school environment.

The Learning Experience

  • Basics of Python and Pandas for Data Handling and Visualization
  • Unsupervised Algorithms - Build a movie recommendation system based on IMDb like data
  • Solving prediction problems (Classification & regression) - We will solve prediction problems from Insurance, Real Estate, Health care industries
  • ML based Image Recognition - Take a close look how algorithms can read human handwriting or recognize text and images
  • Deep Learning - Do a hands on Artificial Neural network implementation and see the amazing power of these algorithms and how they help the Banking and Telecom industry predict potential loss of a customer
  • Natural Language Processing - We will solve a problem of predicting sentiment of customers based on their social media messages or website reviews
  • Building you Own Voice Bots (Alexa) - How to enable voice tech for your customers and get Alexa to talk about your products
  • Market basket analysis using Association Rule Mining - see how a retail outlet increases sales using ML
  • Customer Segmentation - Use clustering algorithms to automagically bring out similarities among customers along and align marketing campaigns to each segment

Schedule

Day 1 (Jun 28th)
  • 9 am - 1 pm : Sessions 1-2
  • 2 pm - 6 pm : Sessions 3-4
  • 8:30 pm: Cocktails & Dinner
  • Special session : Readings of Urdu Poetry
Day 2 (Jun 29th)
  • Pre-breakfast : Golf/Yoga
  • 9 am - 1 pm : Session 5-6
  • 2 pm - 4 pm : Session 7-8
K Yatish Rajawat
Public Policy | Journalist | Upskilling Ideas | Digital Communities | Startups

Reflections of Yatish Rajawat, Senior journalist and an alum of the CXO ML retreat at Goa.

Very few people go to Goa and sit inside a glass building to learn about machine learning. But recently I did it along with a small cohort of a very diverse set of people....

Read More.

What to expect

  • Learn new age skills in ML and AI with no prior programming or IT knowledge
  • Learn in a easy going, fun environment, with college like deadlines
  • Gain familiarity with machine language vocabulary, hand-on usage of various algorithms
  • Experience of being a ML engineer !
  • You will be able to generate ideas on the way ML can be used in interesting ways

What not to expect

  • Strategy or management gyan from arm chair experts
  • 5 star customer service in the classroom
  • Everything to work perfectly

Dress code

None! Shorts are allowed in class and in the evening

What you need to bring along

  • A laptop with wifi
  • Your personal internet (your mobile/data dongle should do)
  • A sense of curiousity and a learning attitude; a little humour will help ;)

About the Faculty

Sujit Bhattacharyya is a founder of CL Educate and has been the heading the technology and innovation efforts in CL for the past 18 years. Prior to CL he worked in the bay area of California, Wipro and Tata Motors. Sujit is a hands on technologist who loves to code. He leads the Data Science initiatives in CL, and had developed many data driven models for business, including one which was patented. His recent work in developing personalized voice bots in education resulted in an invitation to the Alexa Advisory Council meeting in Seattle, USA. Sujit is a passionate trainer and has taken hundreds of workshops for students, parents and executives in topics ranging from empathic parenting,leadership and technology. Sujit will be assisted by his young team of data scientists who work on machine learning technologies and have held high rankings on various world wide competitions held on global data science platforms like Kaggle.

What the CXOs say

Fees

The fee for the program is USD 2400 USD 1800 + taxes for participants who opt for a single room and USD 2000 USD 1500 for participants in twin sharing rooms. A 25% discount is on offer till 12th Jun, 2019.

The fee includes your hotel stay for two nights, including all meals and cocktails during the event.

Group pricing:

A special group pricing is also available for groups of two. The fees for the program is USD 4000 USD 3000 + taxes for two in individual rooms and USD 3300 USD 2500 + taxes for twin sharing.

Pricing Table

Individual Rooms Twin Sharing
1 Participant $2400 $1800 $2000 $1500
2 Participants $4000 $3000 $3300 $2500

The payment has to be made online using the Book Now link on this page. The payment will be received into our Singapore account and a Singapore GST of 7% will be charged. You will receive the invoice from Kestone Singapore, which is CL Educate subsidiary

FAQ

Check in on the evening before the Day 1 or Day 1 before breakfast at the latest as the program begins at 9am. Check out Day 2 evening.

The course fee includes your stay for two nights and all your meals. You need to pay and arrange for your travel to and from the destination.

You can pay online on our site. The cost of the program in INR is as per the current exchange rate.

The payment gateway will provide you an option to pay in USD or in INR

At a glance

Venue: The Leela Goa

Google Maps pin

Note from the Faculty

My personal journey of learning about AI and ML started a couple of years back. That was the time when, almost with unfailing regularity, I would be called into our conference room to meet a hot new ed-tech who had a AI driven product to offer.

Testimonials

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    Contact Us

    Any issues or queries? Contact us at

    Mythreya Lingala - mythreya.lingala@careerlauncher.comand we'll be happy to resolve any queries or issues you may be facing.