50-week Foundations of Modern Machine Learning

Introduction

Machine Learning has diffused into almost all walks of our life and promises to engage us more intensively in years to come. Knowledge of machine learning will soon be an imperative, if one is determined to engage technology as a profession. Technology innovation hub of IIIT Hyderabad (iHub-Data) has strong research programs in machine learning, image processing, computer vision, robotics, natural language processing, pattern recognition and speech processing, and is pleased to announce a 50-week foundation program in machine learning for aspiring engineering students across India, slated to commence on 03 October 2021.

Latest Update:

Who can participate?

• Students pursuing 4-year UG program in CSE/IT/EEE/ECE or any allied streams
• Students should be Indian residents

What makes this program unique?

• 50-week certificate program in Foundations of Modern Machine Learning
• Equivalent to a typical 4 credit course as per UGC/AICTE norms
• Live online lectures and hands-on sessions with personalised learning experience
• Equal focus on foundation and practices
• Discussions with eminent professionals

What is the qualifying criteria?

• Strong interest to learn Machine Learning fundamentals
• Keen programming interest in Python/Colab
• Have a basic understanding of Linear Algebra, Probability and Statistics

Course Fees

• Rs 10,000/- (Rupees ten thousand only, inclusive of all taxes)
• Few scholarships are available for deserving students

Important Dates to remember

• Last Date of Registration : 14 September 2021
• Preparatory Module (from) : 15 September 2021
• Regular Sessions (from) : 03 October 2021

Frequently Asked Questions (FAQs)

• How is this course different from other courses?
  This program uniquely combines the benefits of an in-class program with the flexibility of online learning. Recorded classes give the participants the flexibility of learning at their pace. Live interactions with the faculty and mentors help them to clarify their doubts and queries.
• What is the course fee?
  The course fee is Rs.10,000, incl of all taxes. It has to be made as a one-time payment at the time of enrollment.
• Are fellowships/scholarships available?
  A few scholarships are available for deserving meritorious students.
• Will I receive a certificate at the end of the course?
  Yes, a certificate of achievement from IIIT-H will be awarded upon successful completion of the course.
• How will my doubts/queries be resolved in the online class?
  Live sessions with the IIIT-H faculty will enable the participants to clear their doubts. Additionally, mentors will be available to clear doubts during the one to one mentoring sessions. Mentors and Project Associates are there to help the participant with better solutions and workarounds.
• Will I get a refund if I wish to discontinue?
  Participants are encouraged to be dedicated towards completing the program, by earmarking at least three hours per week for the course. No refund will be given in the event of discontinuation.
• Who will be teaching the course?
  Recorded and live sessions will be provided by the IIIT-H faculty in conjunction with mentors with considerable AI/ML expertise. Industry experts will also contribute to the learning outcomes through occasional sessions.
• What is the expected weekly time commitment?
  Participants are expected to commit 3 hours a week to fully benefit from the program. This will include the online sessions and time devoted for learning and assignments as well.
• How will I be evaluated during the course?
  A holistic approach would be followed where participants would be evaluated continuously. Quizzes, assignments, discussions and attendance would be used for evaluation of performance.
• How will I get access to online labs?
  All participants would get access to the online labs right from the start of the program.
• Does the course have a deferral policy?
  No
• When will the live classes be conducted?
  The live interactive sessions will usually be conducted on weekends or outside working hours of day.
• What if I miss a live class?
  It is advisable not to miss the live sessions with the faculty. However, in the event of missing a class,  recording of the session would be made available for a limited period.
• What are the system/internet requirements needed to attend the course?
  A laptop/desktop and a stable internet connection is essential to attend the course.
• Will I be able to access the learning contents even after completing the course?
  The laboratory contents is what all participants would build independently as part of attending the course. Recorded sessions of classes are set to expire automatically after a fixed duration.
• Does IIIT Hyderabad offer a course on Modern Machine Language on-campus ?
  No, there is no equivalent on-campus program. IIIT Hyderabad has curated this exclusively as an online program.
• What is the language of instruction for these courses? Are they available in other regional languages?
  All our program courses are taught in English. Hence, a minimum proficiency in English language is expected to participate in the program.
• Are there any communication groups on WhatsApp, Telegram etc for the online program on Modern Machine Learning?
  Individual emails from IIIT domain would be extended to all participants. Discord would be another source of communicating.
• What should be done if there is an error with registration?
  Please send us your registered email-id,  application number and a screenshot of the error/issue with relevant description to fmml.coordinator@ihub-data.iiit.ac.in .If the error is after payment has been made, please forward the confirmation email along with email-id, application number and screenshot with description.
• Is there an attendance policy for this program?
  Yes. Participants are expected to have minimum 75% attendance.
• Can we have any hands-on training part (practical lab sessions) ?
  All laboratory sessions would be on cloud-based platforms.
• Who will be issuing the certificate ?
  IIIT Hyderabad will be issuing the certificate of completion of the course.
• Are there any projects to work after the course ?
  Those who complete the course with a good rating might be considered for (a) summer internships (b) pursuing higher studies or (c) working on research projects at IIIT Hyderabad.
• Any internship/placement support ?
  Participants who perform reasonably well would be extended opportunity to participate in  summer internship programs organised at IIIT Hyderabad

Curriculum

• Introduction to ML
• Machine Learning Problems
• Learning and Data
• Data Transformations
• Data Visualization and Plotting
• Principal Component Analysis
• Non-Linear Dimensionality Reduction
• Advances in DR for Visualization
• Re-visiting NN Classification
• Performance Evaluation Metrics
• Representing Textual Data
• String Matching and Applications
• Perceptrons, Gradient Descent
• Gradient Descent – A deeper dive
• Margin and Multi-class Classifiers
• Linear SVM
• Non-linear SVM
• Decision Trees
• Decision Tree Learning
• Random Forests and Ensembles
• Linear regression, MSE and polynomial regression

Grading Policy

25% weightage for assignments (github)
75% weightage for examinations (online)
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Grades

Less than 40% – No certificate
40 – 49% – Completion Certificate (Grade P)

50 – 59% – Grade C
60 – 74% – Grade B
75 – 89% – Grade A
90% above – Outstanding (Grade O)

Final Grades

Grades to Participants

Rank	Name	Grade
1	Kowsik Nandagopan D	O
2	Suryaprasath Ramalingam	O
3	Harishit Goel	O
4	Purvansh Barodia	O
5	Sai Venkata Kaushik Pillalamarri	O
6	Arpit Agarwal	O
7	Samarth Meghani	A
8	Sai Mahathi P V N	A
9	Annam Indhu Lekha	A
10	Sanjana Naga Chebiyyam	A
11	Prakashmani Awasti	A
12	Surya Teja Etikala	A
13	Sanapathi Mahendra Kumar	A
14	Kandukuri Venkatesh	A
15	Pallala Arun Kumar	A
16	A. Joel Brelson	A
17	Karthik D	A
18	Thota Varshith	A
19	Arshiya Sarmai	A
20	Himavanth Ravindran Kammari	A
21	Shaantanu Agarwal	A
22	Karnam Karthik	A
23	Katasani Venkata Sravani	A
24	Pingali Sriram Rahul	A
25	Anapureddy Laxmi Rohith Reddy	A
26	Eshan Sharma	A
27	Aakash Srivastava	A
28	Naveen Kumar Kunam	A
29	Nikhil Narang	B
30	Debdutta Chaterjee	B
31	Gokulakannan S	B
32	Brindha Senthil Kumar	B
33	Prince Dwivedi	B
34	Singamaneni Sreenadh	B
35	Laxshmi Sai Bharghavi	B
36	P. Amarnath	B
37	Kanekal Kousar	B
38	Nandiraju Sree Raga Manogna	B
39	Anand G	B
40	P. Venkata Raja Pratyusha	B
41	Nitta Venkat Neelraj	B
42	Basab Kiran Saha	B
43	Rohit Modee	B
44	Lanka Nagalakshmi	B
45	Sai Bharadwaj	B
46	Bollem Lakshmi Sai Ganesh	B
47	Mungani Sreeja	B
48	Kusam Tejaswar Reddy	B
49	Bhyravajjula Sriyugesh	B
50	Manaswini Joshi	B
51	Vishal Kumar	B
52	Arundhati Ghose	B
53	Manusri Santoshi P P	B
54	Md. Tousif Ahmed	B
55	Kilani Bahuguna Swarna Bharathi	B
56	Divyanshu Jain	B
57	Chinninti Tulasi	B
58	Jakkamsetty Kavya	B
59	Bandi Sairam	B
60	Khagga Gayathri	B
61	B.Varun Kumar	B
62	Tanishq Basu	C
63	Pradeep Kumar Pal	C
64	Sarabu Roshitha	C
65	Maddala. Tejasri	C
66	Shivani Chepuri	C
67	Akkim Venkat Tharun	C
68	Kanupuru Sujith	C
69	Shubham	C
70	Teki Kumari Chandini	C
71	K.Gireeswar	C
72	Cheenepalli Chandana	C
73	Tankala Ashok Kumar	C
74	Pula Jayasreenivas	C
75	Sarella Snehasri	C
76	Anantharaju Santosh Kumar	C
77	Bandaru Lakshmi Pravallika	C
78	G. Hemanth Kiran Vekata Sai Ram	C
79	T. Venuka	C
80	L.Vineetha	C
81	A.G.Dharani	C
82	Andiboina Nagesh	C
83	Vavilala Tulasi Sri Bharathi	C
84	Vivek Kumar Astikar	C
85	Varada Ratna Jigeesha	C
86	Sree Soumya Velamuri	C
87	Valusa Raviteja	C
88	Kavin R V	C
89	Shrestha Dey Sarkar	C
90	Vasavi C.S	C
91	Putta Chandana	C
92	Panyam Badrinath Reddy	C
93	Obigalla Chandana Sree	C
94	Korra Siva Naik	C
95	Dharmik Hiteshbhai Patel	C
96	Divya Korlepara	C
97	K. Smitha Varshini	C
98	Ippili Naveen Kumar	C
99	Bhanuprasad Chesetti	C
100	Yarragundu Haripriya	C
101	Buddaiah Vagaira Janardhan Rao	C
102	Jayadithya Nalajala	C
103	Rayavarapu Sai Nandini	C
104	Amit Sharma	P
105	Manikyala Shireesha	P
106	P. Abhishek	P
107	Bhavani Kurupudi	P
108	Madaka Mani Varsha	P
109	Sudharshan R	P
110	G Greeshma	P
111	Deepak Kumar	P
112	Kartheek	P
113	M.Surya Renuka	P
114	Paritosh Sharma	P
115	Lopinti Abhijeeth Baba	P
116	Sai Lakshmi Gurram	P
117	Pattapagalu Pavitra Devi	P
118	Anupama Sharma	P
119	Polaka Lakshmi Devi	P
120	Krithiga Mohanraj	P
121	Bolla Kaseeswari	P
122	P Vijaykanth	P
123	Babanbai Baba Fakruddin	P
124	Tirumalaraju Rakesh Varma	P
125	Praveen Kumar Pasupuleti	P
126	Madugula Pramodha Varshini	P
127	J.Somasekhar	P
128	Shaik Mahammad Tippu Sulthan	P
129	Lepakshi Umar Ahmad	P
130	Karrichekka Sreehari	P
131	Adithya	P
132	Jerupla Santhosh	P
133	Gajaram Swathi	P
134	D. Lakshmi Parvathi	P
135	Aravind Swamy	P
136	Syed Riyaz	P
137	Baji Shaik	P
138	Srirangapuram Jyosthna	P
139	Dathu Harshitha	P
140	Bavugi Baswaraj	P
141	M Asmaa	P
142	Shaik Tameem	P
143	Murari Anusha	P
144	Shaik.Muneera Begum	P
145	Kommana Sai Gowri Subhasree	P
146	Kummari Karthik Babu	P
147	Janga Raja Kumar	P
148	Divyansh	P
149	Kamanuru Afzal	P
150	G Gowtham Naidu	P
151	Srikanth Murella	P
152	Sadhu Munichitra	P
153	Nesha Venkata Raju	P

Final Grades for Participants : Link to Certificates