HiddenRamp e-Techcon

2 Million+

People reached

5000+

Attendees

300+

College connected

100+

Speakers, VC and Chief guests

Exclusive Training on AI & ML

Artificial Intelligence Training Module

Introduction and importance of AI

Artificial Intelligence becomes the important part of our daily life. Our life is changed by AI because this technology is used in a wide area of day to day services. These technologies reduce human effort. Now in many industries, people are using this technology to develop machine slaves to perform the different activity. Using the machine for the work speed up your process of doing work and give you an accurate result.

Introduction to Neural Networks

A neural network is an interconnected assembly of simple processing elements, units or nodes, whose functionality is loosely based on the animal neuron. The processing ability of the network is stored in the interunit connection strengths, or weights, obtained by a process of adaptation to, or learning from, a set of training patterns.

Learning/Deep Learning Algorithms

In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance. Models are trained by using a large set of labeled data and neural network architectures that contain many layers.

Tensor Flow

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

Data Science and Statistics

Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems. Statistics is a tool or method for data science, while data science is a wide domain where a statistical method is an essential component.

Projects and Robots

Artificial intelligence (AI) is arguably the most exciting field in robotics. It's certainly the most controversial: Everybody agrees that a robot can work in an assembly line, but there's no consensus on whether a robot can ever be intelligent.

Anaconda

Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Package versions are managed by the package management system conda.

Machine Learning Training Module

Machine Learning methodology

Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. The algorithms adaptively improve their performance as the number of samples available for learning increases.

Introduction to Python Data Science tools

When it comes to data science, Python’s syntax is the closest to the mathematical syntax and, therefore, is the language that is most easily understood and learned by professions like mathematicians or economists.

Data handling with Pandas

Pandas is one of those packages, and makes importing and analyzing data much easier. Pandas builds on packages like NumPy and matplotlib to give you a single, convenient, place to do most of your data analysis and visualization work.

Introduction to Numpy

NumPy is module for Python. The name is an acronym for "Numeric Python" or "Numerical Python". NumPy enriches the programming language Python with powerful data structures, implementing multi-dimensional arrays and matrices. These data structures guarantee efficient calculations with matrices and arrays. The implementation is even aiming at huge matrices and arrays, better know under the heading of "big data". Besides that the module supplies a large library of high-level mathematical functions to operate on these matrices and arrays.

Introduction to Scikit Learn

Scikit Learn is built on top of several common data and math Python libraries. Such a design makes it super easy to integrate between them all. You can pass numpy arrays and pandas data frames directly to the ML algoirthms of Scikit! Scikit-learn provides a range of supervised and unsupervised learning algorithms via a consistent interface in Python.

Python for Machine Learning

Python community has developed many modules to help programmers implement machine learning.

TECHNOLOGIES WE WOULD COVER

ABOUT e-TECHCON

India's biggest Information Technology event
Covering areas of Artificial intelligence and Machine Learning.
Industry experts and leader experts in AI & ML as core speakers in the event.
Demonstrations from Top ML companies and AI companies in various segment from Finance, IT, Medical ,etc.
Reach among more than 2 million people from different vicinity.
Top Corporate will be hiring employees for Interns and employees.
Budding Technologist contest for finding Innovating talents.
Live event streaming and broadcasting of the vent across the country.
Chief guests from Top Ministries of the country.

OUR TRAINERS

Sayan Dey | AI, ML

Data Scientist | BI Consultant | Machine Learning Engineer

Data Science and Analytics Professional with 7+ years of rich experience across the analytics technology stack. Worked across a multitude of roles spanning corporate trainer, individual contributor, developer, consultant, project manager, scrum master and client engagement manager. Acquired numerous professional certifications across the Data Science technology stack. Successfully trained tens of thousands of IT professionals spanning 10000+ hours across.

Kumar KB Bhowmik | AI, ML

Machine Learning, Artificial Intelligence Trainer & Consultant

Kanchan Kumar Bhowmik is a Data Scientist with 15+ years of experience on Information Technology and has executed Mission Critical IT Solutions in United States, Europe and Asia Pacific for Govt. of India, Corporate & Multinational Organisations. He has over 5 years of experience on Data Science, Machine Learning & Artificial Intelligence as a Trainer & Consultant primarily to Engineering Students from Engineering Colleges / Universities / Academic Institutions and Corporate employees from Corporates. Have extensive Technology expertise, Business Acumen Skills, Industry Process and Practices in Corporates & Multinational Organisations Globally. He is a Certified Data Scientist from Govt. of India.

Chandan Verma | AI, ML, DEEP LEARNING, PYTHON, IOT

Corporate Trainer & Consultant

Chandan has 6 Year of experience in Embedded System Design, Embedded Applications,Machine Learning, Artificial Intelligence and IOT. He is Guest Speaker at 3+ International Conferences and Summits on IoT. He Worked on 5+ Industrial IoT Projects with Anacardium Techtronics Private Limited and Anvay Techno solutions. He has Delivered 50+ workshops & Lectures across pan India including IIT Roorkee, IIT Kanpur, IIT BHU, IIT Guwathi, IIT Delhi, VNIT Nagpur and IISC Bangalore and also Provided Online and class room Training to corporate employees (like Infosys , deloitte, Cybercure Technologies,faasos etc.). He has Corporate Clients – NTPC, Aptech, Wisdomware India Technology, E.I System, Gratia Technology, H.T India Labs, Dawnix Tech, Anacardium Techtronics ,Bethink Technologies, Anvay Techno solutions.

OUR KEYNOTE SPEAKERS

As a two day conference, e-Techcon focuses on exploring the IT field with an in depth analysis of the shortcomings and ideas that could create a revolutionary movement in the area.

Subinder Khurana | AI

Lead Mentor, Founder NASSCOM DeepTech Club

Subinder has been a successful technology & analytics entrepreneur, investor and mentor for two decades. Most recently he was Founder & CEO of BankSmarts President of marketRx India (acquired by Cognizant); VC at Infinity Ventures (invested in IndiaBulls, India Games and Avendus); and Founder & CTO of EZPower Systems (now a part of Oracle).He is currently Member of the Board at TiE Delhi, member of NASSCOM Product Council, founder and lead mentor of the NASSCOM Deep Tech Club, and was earlier Chair of TiE Entrepreneurship Nurturing Program and a NASSCOM-Emerge Mentor. He is a B. Tech. from IIT Delhi.

Prasanna Lohar | ML

Head Technology - Innovation and Architecture - DCB

I have Over 18 Years of Industry Experience in Engineering & Development, Product Development, Organization Strategy & Governance, Risk Audit Compliance Management, Business Process Management, Enterprise Architecture, Mobile Apps, Digital Transformation, Fintech, E-Commerce, Payments, Platform and Product Innovation, Data Science, Machine Learning, Artificial Intelligence, Open Stack, Cloud Computing, Analytics, Big Data, IOT, BlockChain, UI-UX, Product Roadmap Strategy, Business Development , Leadership & Team Building.

Vikram Naresh Chaudhary | AI

Chairman and Managing Director (Council Of Information Security)

Vikram Naresh Chaudhary has the expertise in the field of Artificial Intelligence. He has the enthusiasm to countinuously learn things to make the day-to-day life better with technologies. He has very rich experience in the field of Artificial Intelligence. Currently, Vikram Naresh Chaudhary is the Chairman and Managing Director of Council of Information Security.

Anurag D | AI, Data Analytics

Country Head - Data Analytics and AI, Panasonic

Learning is an virtue, I keep on my side. Folks say, I have an assured sense of humor, which makes me a huge people person. Having spent several years in companies like Lucent, IBM and aggressive startups like Kodiak and Azaire, I have discovered , that connecting with smart people and working on newer technologies gives me a high. I feel more inspired to be with like minded people and folks who can make a difference. I know quite a bit of tech in various areas, ranging from Telcos, to Security to Cloud and to Analytics. I am owning and driving data analytics and Artificial Intelligence related innovations and solutions for Panasonic in India and middle East. On a personal note I believe, future lies on how companies use their huge data assets for predicting and planning their future. Getting a talent pool capable of doing so , will be the area where opportunity lies for many of our youngsters.