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machine learning algorithms
Explore " machine learning algorithms" with insightful episodes like "028. International Association of Algorithmic Auditors", "AI and ChatGPT Are Here to Stay", "#5 - The AI Doctor: Fact or Fiction?", "611: Open-Ended A.I.: Practical Applications for Humans and Machines" and "118: Machine Learning or Machine Failing?" from podcasts like ""Lunchtime BABLing with Dr. Shea Brown", "The Business Trendsetter Podcast", "The AI Frontier Podcast", "Super Data Science: ML & AI Podcast with Jon Krohn" and "Still To Be Determined"" and more!
Episodes (8)
AI and ChatGPT Are Here to Stay
There’s been a lot of confusion about what ChatGPT and other AI tools can do. Some people think it’s the end of humanity. Others think it will be greatly productive. The important thing to know is that, like the internet, this is a big advance in technology that will create a lot of opportunities for better business operations and growth.
ChatGPT is basically a word calculator. If we use calculators, why not use a word calculator instead of generating all those words? This podcast explains that what started out as neural networks 35 years ago, and machine learning algorithms 20 years ago, is now AI. It’s a bigger, better tool for looking at very large data sets to help you make a better decision. And those who make better decisions make more money, sell more stuff, and survive longer in the marketplace. Ignore AI at your peril, because you could end up like farriers, mule skinners and elevator operators if you don’t.
Thinking points:
- Have you tried ChatGPT? Have you experimented with any AI tools?
- Are you actively reading about people in your industry who have applied AI?
- Are you investigating AI tools for operational enhancement, or better understanding customer needs?
- Do you have future scenarios for your business that include the use of AI tools?
#5 - The AI Doctor: Fact or Fiction?
In this episode of The AI Frontier, we explore the emerging role of AI in healthcare. Join us as we discuss the history of AI in healthcare, the current applications of AI in medical diagnosis and treatment, and the ethical considerations and challenges associated with its use. We also take a look into the future of AI in healthcare, and what listeners can expect to see in the years to come. Tune in to learn more about the AI Doctor - Fact or Fiction?
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611: Open-Ended A.I.: Practical Applications for Humans and Machines
Dr. Ken Stanley, a world-leading expert on Open-Ended AI and author of the genre-bending book "Why Greatness Cannot be Planned," joins Jon Krohn for a discussion that has the potential to shift your entire view on life. Tune in now to learn more about the complex topics of genetic ML algorithms, the Objective Paradox, Novelty Search, and so much more.
This episode is brought to you by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• Ken on his book 'Why Greatness Cannot Be Planned" and the Objective Paradox [4:15]
• The Novelty Search approach [24:14]
• How open-ended algorithms like Novelty Search can be stopped from doing something potentially dangerous [1:00:00]
• The future of open-ended AI and its intimate relationship with Artificial General Intelligence [1:07:34]
• Ken's new company [1:13:34]
• How AI could transform life for humans in the coming decades [1:18:29]
Additional materials: www.superdatascience.com/611
118: Machine Learning or Machine Failing?
https://youtu.be/Ew-c2UhWtRc
If the machines have learned anything, it’s that we’re talking about them and machine learning’s impact on our future.
Watch the Undecided with Matt Ferrell episode, “How AI Could Solve Our Renewable Energy Problem”: https://youtu.be/HAdiVIitI9M?list=PLnTSM-ORSgi5LVxHfWfQE6-Y_HnK-sgXS
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★ Support this podcast ★Questions before joining Data Science Course
Data Science Course: How to join right data science course? What are various questions and doubts before joining any Data Science Course? Listen to this podcasts on Various questions one need to ask before joining Data Science Course. Kind of mindset to have before joining the program.
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How to choose Machine Learning Algorithm in 10 Minutes?
Let's look into what companies are looking for from Machine Learning.
Machine Learning Job Requirement -1:
Knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Machine Learning Job Requirement -2 :
• Works to design and develop analytical/ data mining/ machine learning models as part of data science solutions.
• Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement the solution on a Big Data platform.
• Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function. etc..
We from BEPEC are ready to help you and make you shift your career at any cost.
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3 Major Machine Learning Equations in algorithms
We have nealry 15+ Machine learning algorithms, but entire machine learning can be summarised into 3 major machine learning equation which rule entire machine learning. Most of the people are learning machine learning courses and planning a career in machine learning. This podcast is pretty important to rule in space of machine learning.
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