Certificate Program In Data Science And Machine Learning By iHUB DivyaSampark IIT Roorkee

Imarticus Learning

Certificate Program In Data Science And Machine Learning By iHUB DivyaSampark IIT Roorkee

About Our Certificate Program In Data Science And Machine Learning

The Certificate Program in Data Science and Machine Learning is designed to get you started on the path of data science and machine learning. Built with iHUB DivyaSampark @IIT Roorkee, this program will teach you the fundamentals and aspects of data science and machine learning while equipping you with the proper knowledge to implement and apply these concepts to real-world problems. Learn data mining and machine learning tools with Python and how to use data-driven insights to positively impact organizational growth in this 5-month program designed by acclaimed IIT faculty members.

This data science program will enable learners to build a strong foundation in data science and specialize in machine learning with Python for data-driven decision-making. Through this program, we aim to develop professionals who can provide meaningful insights from data and help businesses make the right decisions for growth.

Course Details

About iHUB DivyaSampark @IIT Roorkee

iHUB DivyaSampark, a section 8 company (Non-Government Organization), is a Technology Innovation Hub at IIT Roorkee and is set up under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), initiated by the Department of Science & Technology (DST) to build innovative solutions, to train manpower and encourage entrepreneurship for the world’s current challenges like affordable health care, Industry 4.0 and sustainable smart cities. iHUB DivyaSampark aims to enable an innovative ecosystem in new-age technologies like AI, ML, Drones, Robots, data analytics (often called CPS technologies) and become the source for the next generation of digital technologies, products and services by promoting, enhancing core competencies, capacity building, manpower training to provide solutions for national strategic sectors and becoming a key contributor to Digital India.

Certificate Program In Data Science And Machine Learning

Upon successful completion of the program, you will earn a Certificate issued collectively by iHUB DivyaSampark @ IIT Roorkee, Department of Science & Technology (DST) and Imarticus Learning. It will add considerable value to your profile and help your career evolve in the right direction.

Is this the right course for me?

This program is built for:

Early and mid-level professionals interested in gaining a relevant and cutting-edge perspective on data science and machine learning for better career prospects or meeting organizational goals
Professionals and leaders who aspire to lead data-driven disruptions in businesses across various domains like retail, healthcare, supply chain, etc.
Any tech-savvy individual who wants to learn data science and machine learning

Imarticus Learning

Automation: What Does That Mean for Machine Learning and Data Science?

keerthi ravichandran 2023-02-22

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What are the Advantages of working in Analytics or Data Science?

Atul 2023-08-18

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What is the Difference Between NLP and Machine Learning?

Nishit Agarwal 2022-05-10

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What is an Online Executive Program In Data Science and Analytics? & Career scope after this course

Mahi Chauhan 2023-12-08

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How Does Amazon Handle Cyber Security

Spentex 2022-02-07

)PropertyWhen it comes to Amazon’s cloud security issues, only a handful of controversial issues are plagued over the years. TO MAKE AMAZON COPE OF TIMESIn addition to accessing its user data, Amazon has two key areas to focus on data cyber security and protection: Amazon Web Services (AWS) and smart home cloud security. As a result of these errors, Amazon no longer leaves complete data cyber security to its customers. In early 2019, Amazon acquired Eero, which produces Wi-Fi communication devices with mesh routers with a built-in security service. Facebook, Amazon, Microsoft, Google, and Apple all work on ways to improve online security systems on their systems.

Meta-Learning for Few-Shot Learning: Rapid Adaptation with Limited Data

Zaid 1 2024-03-01

Here's an exploration of how meta-learning is applied to few-shot learning for rapid adaptation with limited data:Meta-Learning FrameworkMeta-learning, or learning to learn, involves training a model on a variety of tasks in a meta-training phase. Episodic TrainingMeta-learning for few-shot learning is often formulated as an episodic training procedure. Transfer Learning and Few-Shot LearningMeta-learning can be viewed as a form of transfer learning, where knowledge gained from one set of tasks is transferred to facilitate learning new tasks. Challenges and Future DirectionsChallenges in meta-learning for few-shot learning include handling domain shifts, addressing meta-overfitting, and improving the scalability of meta-learning approaches. ConclusionMeta-learning for few-shot learning represents a powerful approach to address the challenges of adapting machine learning models to new tasks with limited data.

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