Showing results for "Machine Learning" in Careers
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Machine Learning Interviews
- Kickstart Your Machine Learning and Data Career
- Written by: Susan Shu Chang
- Narrated by: Xifeng Brooks
- Length: 9 hrs and 39 mins
- Unabridged
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As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.
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Machine Learning Interviews
- Kickstart Your Machine Learning and Data Career
- Narrated by: Xifeng Brooks
- Length: 9 hrs and 39 mins
- Release Date: 05-03-24
- Language: English
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₹469.00 or free with 30-day trial
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Machine Learning Interview Help (Hindi)
- Written by: Mr. Hulk
- Original Recording
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"Machine Learning Interview Help" is a podcast designed to assist candidates who are preparing for machine learning or deep learning interviews. In this podcast, I will cover various machine learning algorithms, and explain the types of questions typically asked by interviewers during interviews for machine learning or related positions. I will explore each topic in-depth and help you understand what the interviewer is looking for based on the job description. I will also break down the math behind various machine learning topics and explain it in a way that is easy to understand.
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Machine Learning Engineered
- Written by: Charlie You
- Original Recording
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This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.
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Adventures in Machine Learning
- Written by: Charles M Wood
- Original Recording
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Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
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Human Work in the Age of Smart Machines
- Written by: Jamie Merisotis
- Narrated by: Malcolm Hillgartner
- Length: 6 hrs and 30 mins
- Unabridged
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Jamie Merisotis, author of the award-winning 2016 book America Needs Talent, argues that people will coexist with smart machines by learning, earning, and serving others over their lifetimes. But Merisotis asserts large-scale change is necessary to develop and hone the knowledge, skills, and abilities that render us uniquely human. These qualities include compassion, critical thinking, ethical reasoning, and interpersonal communication.
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Human Work in the Age of Smart Machines
- Narrated by: Malcolm Hillgartner
- Length: 6 hrs and 30 mins
- Release Date: 06-10-20
- Language: English
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₹351.00 or free with 30-day trial
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