Infinite Curiosity Pod with Prateek Joshi - Thom Ives on his AI journey, creating educational content, establishing online presence, building a portfolio of machine learning projects, preventing burnout, how growth happens through cycles, storytelling for data scientists.

Thom Ives on his AI journey, creating educational content, establishing online presence, building a portfolio of machine learning projects, preventing burnout, how growth happens through cycles, storytelling for data scientists.

05/09/22 • 41 min

Infinite Curiosity Pod with Prateek Joshi

Thom Ives is the founder of Integrated Machine Learning & AI providing services and instruction in the data science community. And he is the lead data scientist at AI Strategy Corporation. He is the recipient of more than 25 US Patents for many different types of devices. He has a PhD in mechanical engineering and has over 47,000 followers on LinkedIn. He has built an amazing career over the last 30 years.
In this episode, we cover a range of topics including:
- His AI journey
- Creating educational content
- His upcoming book
- Building communities
- "You must first BE to DO to HAVE". What does this mean in our context of data science?
- Building a portfolio of projects as a data scientist
- Growth happens through cycles and maintenance is integral to cycling. How should a machine learning professional think about it?
- Establishing your online presence as a data scientist
- Preventing burnout and the importance of recovery periods
- Storytelling for data scientists
- Why he loves Python

Previous Episode

undefined - What's new in ML: Prateek Joshi talks about generative AI, enzyme that can break down plastic quickly, nuclear fusion, low-carbon concrete, synthesizing molecules, object detection, few-shot learning.

What's new in ML: Prateek Joshi talks about generative AI, enzyme that can break down plastic quickly, nuclear fusion, low-carbon concrete, synthesizing molecules, object detection, few-shot learning.

In this episode, the host Prateek Joshi covers a range of topics including:
- Generative AI and OpenAI's DALL-E 2
- ML based enzyme that can break down plastic really quickly
- Predicting the performance of plasma for nuclear fusion
- Creating low-carbon concrete with ML
- Building ML models that suggest molecular structures that can be synthesized in the lab
- Google launches Pix2Seq, a new language interface for object detection.
- DeepMind introduces Flamingo, a single visual language model (VLM) for few-shot learning.
- Anaconda announces PyScript. It's an in-browser, single-include way to run Python scripts in HTML pages as easily as JavaScript.

Next Episode

undefined - What's new in ML: Prateek Joshi talks about brain computer interface, nanomagnetic computing, counting microplastics using Machine Learning, quantum tunneling memory, wine reviews written by AI, spotting cavity, cancer research

What's new in ML: Prateek Joshi talks about brain computer interface, nanomagnetic computing, counting microplastics using Machine Learning, quantum tunneling memory, wine reviews written by AI, spotting cavity, cancer research

In this episode, the host Prateek Joshi covers the latest developments in Machine Learning including:
- Brain computer interface enters human trials
- Nanomagnetic computing for low-energy AI
- Speeding up the process of counting microplastics using Machine Learning
- Quantum tunneling memory to boost AI energy efficiency
- Wine and beer reviews written by AI
- Spotting cavity using an AI system
- FDA approves the world's first automated and wearable 3D breast ultrasound
- Intel announces new chips for AI processing