Although the term ‘machine learning’ has been around for more than half a century, it’s only recently that this field of computer science has become a hot topic in the programming community. Machine learning methods enable programs to use models and sample inputs to create their own patterns to allow them to make predictions as compared to most programming which revolves around creating clear cut instructions for machines to follow.Basically, machine learning creates programs that are smarter which help devices and applications ‘teach’ themselves or ‘learn as humans would’.While most of us interact with ML-based programs on a daily basis, such as virtual personal assistants like Siri or Cortana, and recommendation engines in streaming services and social networks(like YouTube or facebook), the details behind what makes these features possible are known to only a few.Whether you already work with data models and artificial intelligences, want to transition into this field, or simply want to know more about what ML is and how it can be applied, we’ve curated a list of 10 excellent podcasts that’ll help keep you up to date on this growing field.
Machine Learning Guide
This series is hosted by Tyler Renelle, a web and mobile developer transitioning into the field of machine learning. Machine Learning Guide covers the basics of ML and artificial intelligence, and is recommended for people who are curious about this field but haven’t yet ventured into the territory of machine learning by checking into any courses on its data science.
Data and statistical models provide the backbone and fuel for machine learning models. However, is the data we’re using—and the way we’re using it—truly useful? With Kylie Polich as host, Data Skeptic explores this question by alternating between long-form interviews with experts in the field, and mini-episodes that provide a high level insight to some aspects of the data science used in ML.
This Week in Machine Learning & AI
If you want to stay on top of the biggest trends and newest developments in ML and AI, this is podcast you’ll want to follow. This Week in Machine Learning and AI is a weekly show with Sam Charrington as host interviewing some of the top researchers in the field to discuss the ever increasing uses of machine learning and artificial intelligence.4.O’Reilly Data ShowThis podcast is excellent for anyone wanting to delve deeper into the data science behind machine learning, and the techniques and analysis used to drive AI. The episodes of O’Reilly Data Show are an intense half an hour packed with information.
Co-hosts Katherine Gorman and Neil Lawrence provide a glimpse into the world of machine learning that’s both thorough and accessible to all knowledge levels with their backgrounds in radio production and academic computer science. Each week’s episode of Talking Machines looks at how machine learning is changing the world around us, and how we can make best utilise these changes.
The field of data science is growing rapidly, and is considered to be one of the most lucrative jobs of the 21st century. But what exactly does working in data science look like? In Data Framed, host Hugo Bowne-Anderson addresses the topics of why data science had become so popular and what problems it’s aiming to solve.
Although this discipline is centered on making smart predictions, many applications of machine learning have been far from predictable. Linear Digressions, hosted by data scientist Katie Malone and UI engineer Ben Jaffe, often explores the offbeat applications of machine learning.
As the ubiquitousness of artificial intelligence in our society increases, so does the debate on its moral and ethical ramifications. If you’re concerned if AI is using the data we provide it responsibly, or if you watched Terminator too much as a child and have your doubts about the robots being submissive, you’ll appreciate the existential questions raised in the Concerning AI podcast.
Even though it was launched in early 2012, Data Stories hosts Enrico Bertini and Moritz Stefaner are still serving up amazing data based content that seems like food fresh out of the kitchen. These hosts and their guests are so passionate about the subject that despite the often visual nature of the data models they discuss, their enthusiasm and detailed descriptions give you an experience almost as if the numbers and models have come to life.
Learning Machines 101
Interacting with AI has become a part of our daily lives, and you may want to find out more about these intelligent machines and how effective (or ineffective) they actually are. Learning Machines 101 covers how machines actually implement machine learning, and separates the facts from the myths about how machine learning actually works.Is there a particular series you enjoy that’s not mentioned on this list? Let us know in the comments below!
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