Podcasts about analytics vidhya

A community startup is built on the back of a strong organically grown community base, hyper-focused on adding value to the community. Kunal Jain is one of the early pioneers in community building and he shares his journey of starting a community, bootstrapped, and how it became a full-fledged platform for analytics professionals with a global reach.For more such interesting founder journeys, subscribe to our newsletter founderthesis.comRead more about Analytics Vidhya:-1.Demand for data science professionals continuously increasing: Analytics Vidhya

Co-Occurrence #3 - Grappling with Bias in AI: How are You Inspiring a Critical Mindset? (EP.26) With Tacita Morway (she/her) How can we mitigate the biases present in Generative AI? What role do we play in shaping a more equitable outcome? In this episode, Tacita Morway, Textio's Chief Technology Officer, weighs in to share her insights on bias in AI, the importance of critical thinking, and using your fears as a roadmap to discovery. This episode is the third installment of our limited series, "Co-Occurrence," featuring conversations exploring AI and related technologies as well as possible, probably and actual impacts on education. From discussions around what we know, what we hope for, and what is happening concretely today - this limited series will give you some things to ponder and actionable takeaways. Questions? Feedback? Ideas? Contact us at edufi@mayo.edu Audio Editor: Jaquan Leonard Additional Resources: Guvvala, Sujitha. “Bias Mitigation in Generative AI.” Analytics Vidhya. N.p., 12 Oct. 2023. Manyika, James. “What Do We Do about the Biases in AI?” Harvard Business Review. N.p., 17 Nov. 2022. Landers, R. N., & Behrend, T. S. (2023). Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models. American Psychologist, 78(1), 36. Buslón, N., Cortés, A., Catuara-Solarz, S., Cirillo, D., & Rementeria, M. J. (2023). Raising awareness of sex and gender bias in artificial intelligence and health. Frontiers in Global Women's Health, 4. Ferrara, E. (2023). Should chatgpt be biased? challenges and risks of bias in large language models. arXiv preprint arXiv:2304.03738. Shiroma, Mauricio. “Critical Thinking – the Bias Battle | Cambridge English.” World of Better Learning | Cambridge University Press. N.p., 7 Sept. 2022. Synder, K., Textio Blog: Mindful AI: Crafting Prompts to Mitigate the Bias in Generative AI - 2023.

Tanvi Purohit has over 8+ years of experience in the industry and is currently the Lead Business Analyst at DocOn Technologies, a health tech startup. She has also been an Analytics Vidhya volunteer in the past. Hear her share her experience in the field of data science with our host Hetankshi Desai.

Subscribe & Download Listen on Apple Podcasts Listen on Google Play Follow us onSoundCloud Listen on Spotify Guest: Kunal Jain https://vimeo.com/450499038 Episode Transcript 00:06 Ramesh: Hello everyone. Welcome to one more episode of the agile entrepreneur podcast and video cast. And this is your host Ramesh Dontha. And today I'm very, very excited to introduce a guest who I've been meaning to talk for quite some time. His name is Kunal Jain. Kunal is the founder and CEO of Analytics Vidhya. Analytics Vidhya is one of the largest data science community across the globe and Analytics Vidhya helps millions of people every month in the data science learning and helps its community members find the dream jobs, focuses on education and training and then jobs. And before starting Analytics Vidhya Kunal graduated from the India's prestigious Indian Institute of technology in Bombay studying aerospace engineering and joined capital one as a business analyst in UK in 2006 and later on he decided to start Analytics Vidhya. So let's talk to Kunal on his journey, why he did what he did. Kunal Welcome. 01:11 Kunal: Thanks. Thanks, Ramesh, for that lovely introduction and really excited and happy to be here on the show. I've been wanting to talk for a long time. But thanks for inviting me and looking forward to the session. 01:30 Ramesh: Definitely no worries at all. So Kunal let's take it from the beginning. So right now you are the CEO of Analytics Vidhya. So tell the audience and tell me about what is Analytics Vidhya and even though I introduced it in your own words, what does it do? 01:49 Kunal: Sure. The vision behind Analytics Vidhya is to create a platform where every data science professional can come and get their knowledge and career needs addressed in form of the platform in the community, which is there on the platform. So you know, if you think about the career needs data scientists, there are broadly for different needs which they have. So that is learning on a day to day basis. So that happens through various blogs, which we publish a lot of education material along with some free courses and paid courses. Recently we also started a boot camp, so maybe I'll explain that a bit more, but this is like a physical nine-month program with people in there. Engagement happens through a whole lot of community activities starting from meetups, webinars, podcasts and you know, the biggest run which we do is a conference in India called Data hacks Ramesh. That happens in November every year. Then there is competition. So we organize you know, very short duration competitions or two-day competitions to 15-day competitions where companies give their data sets and problems to our community and the community solves them. So from a community perspective, you get the best data scientists to compete on the problem you want to solve. From a data scientist perspective, you get a whole variety of problems to work upon instead of just being siloed on the industry you are work...

Here is a brief summary of what experience I have so far in learning data science including courses, programming languages, learning tools and more. The guide that I am using is “A comprehensive path to become a data scientist in 2020” on Analytics Vidhya. --- Send in a voice message: https://anchor.fm/tlkdata2me/message

Hello Everyone, Our next guest is founder of Analytics Vidhya. They have over 400K+ community following them. So they themselves are the brand. Audio Podcast - https://anchor.fm/vaishali-lambe/episodes/SoLeadSaturday---Episode-3---Kunal-Jain-analyticsvidhya-dataanalysis-machinelearning-eaeib8 Instagram : @dataneighbor Youtube : https://lnkd.in/eGDYYnK Twitter : https://lnkd.in/dnjbeWY LinkedIn : https://lnkd.in/eWqitWg Facebook -https://lnkd.in/efRshBR --- Support this podcast: https://anchor.fm/vaishali-lambe/support

Welcome to the First episode of Data Science Stories. Experiences teach us lots of things and open new doors of insights. So on our first episode, I have with me Mohammad Shahbaz He is Currently Top 1% among Kaggle Expert in kernel category. Recently He interned at Analytics Vidhya and has won 3 national level Hackathon in 2018. Mohammad is going to share his experiences about what is data science and how he began his journey in data science field.

We see a ton of aspiring data scientists interested in this field, but they often turn away daunted by the challenges NLP presents. It's such a niche line of work, and we at Analytics Vidhya would love to see more of our community actively participate in ground-breaking work in this field. So we thought what better way to do this than get an NLP expert on our DataHack Radio podcast? Yes, we've got none other than Sebastian Ruder in Episode 12! This podcast is a knowledge goldmine for NLP enthusiasts, so make sure you tune in.

Carla Gentry is one of most popular social media influencers in the data science field. She has over 300,000 followers on LinkedIn and 48k followers on Twitter. Her experience in this field is unparalleled and we are grateful for leaders like her who consistently give back to the community. She has been a regular reader of Analytics Vidhya’s articles for quite a while now. It was a pleasure to have her appear on the podcast and to hear her views on data privacy, how the domain has changed in the last few years, her advice for women in data science, and a whole host of other topics.

Marios Michailidis is an experienced data scientist who is currently working at H2O.ai. One of most fascinating facts about Marios is that he had no programming background till he finished his Masters degree. He is the very definition of an inspiring self-taught data scientist! In this third episode of DataHack Radio, Kunal chats with him about his background, his approach to machine learning competitions, his Kaggle journey, his appreciation for Analytics Vidhya, and a whole lot more. Marios even gave us some terrific analogies throughout the podcast.