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Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the lates ...
 
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
 
Welcome! We at MLST are inspired by scientists and each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is ridiculously technical and we believe strongly in diversity of thought in AI, covering all the main ideas in the field, avoiding hype where possible. MLST is run by Dr. Tim Scarfe and Dr. Keith Duggar, and with regular appearances from Dr. Yannic Kilcher.
 
Это подкаст о машинном обучении от неспециалиста для неспециалистов. Буду рассказывать о развитии индустрии, проводить ликбез, объяснять терминологию и профессиональные жаргонизмы, общаться с профессионалами из индустрии Искусственного Интеллекта. Я сам не так давно начал погружаться в эту тему и по мере своего развития буду делиться своим пониманием этой интересной и перспективной области знаний. Почта для обратной связи: kms101@yandex.ru Сообщество подкаста в ВК: https://vk.com/mlpodcast Т ...
 
Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
 
Der Podcast für Young Professionals, die wissen möchten was hinter KI, Machine Learning und Data Science steckt und wie damit gearbeitet wird. The Erium Podcast räumt mit Mythen auf, gibt Einblicke in die Welt und Algorithmen der Data Scientists und zeigt euch die Power von Machine Learning. Master the Complexity!
 
Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 ...
 
Welcome to the Machine Commons podcast, where we explore the various and far reaching impacts of machine learning - the software approach better known as artificial intelligence (or, AI). The world has teetered over an invisible edge, where more of our lives are governed by software that is decreasingly coded and increasingly trained - a world where our governing software 'learns'. It is the technology at the cross section of multiple advanced fields. Come hang out with Alex and Lucie, as th ...
 
The Machine Learning podcast by edureka! will talk about what is Machine Learning, types of Machine learning and Machine Learning Algorithms. You will also get to know enough reasons for learning Machine Learning. Website: https://www.edureka.co/masters-program/machine-learning-engineer-training Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
 
This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.
 
Short, simple summaries of machine learning topics, to help you prepare for exams, interviews, reading the latest papers, or just a quick brush up. In less than two minutes, we'll cover the most obscure jargon and complex topics in machine learning. For more details, including small animated presentations, please visit erikpartridge.com. Please do join the conversation on Twitter for corrections, conversations, support and more at #mlbytes
 
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.
 
Blockchain is complex? Machine Learning is Boring? This show will focus on the ins and outs of Blockchain and Machine Learning. We will also look at innovative ways these new technologies are being applied to solve complex business challenges. BONUS : Interviews with Industry Leaders about Blockchain and ML
 
En esta serie de Podcast titulado Machine Learning en Español se discutirán temas relacionado a Machine Learning (aprendizaje maquina), Data Science (ciencia de datos), Big Data, Artificial Intelligence (inteligencia artificial), Business Intelligence (inteligencia de negocios) y Deep learning entre otros. Su anfitrión Gustavo Lujan, quien es un Data Scientist trabajando para Intel, compartirá su experiencia y tendencias en este fascinante mundo de Machine Learning.
 
Machine Learning with Coffee is a podcast where we are going to be sharing ideas about Machine Learning and related areas such as: artificial intelligence, business intelligence, business analytics, data mining and Big data. The objective is to promote a healthy discussion on the current state of this fascinating world of Machine Learning. We will be sharing our experience, sharing tricks, talking about latest developments and interviewing experts, all these on a very laid back, friendly man ...
 
In this course we will explore the challenges presented when designing AI-powered services. In particular, we will take a look at Machine Learning (such as deep learning and generative adversarial networks), and how that can be used in human-centered design of digital services. This course is created for User Experience (UX) professionals, Service Designers, and Product Managers as a way to help take a human-centered approach to AI in their work. The course is also useful for developers and ...
 
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Learning Machine

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This is Learning Machine. A podcast about digital marketing, content, strategy, startups, and business. If you like Mixergy, Entrepreneur on Fire, Tropical MBA, Rocketship.fm, SaaStr, Tim Ferriss show, or Startups for the Rest of Us, you will love Content and Coffee.
 
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show series
 
This week, we continue our conversations around the topic of Data-Centric AI joined by a friend of the show Adrien Gaidon, the head of ML research at the Toyota Research Institute (TRI). In our chat, Adrien expresses a fourth, somewhat contrarian, viewpoint to the three prominent schools of thought that organizations tend to fall into, as well as a…
 
The end goal is to provide business users with trusted data, faster at lower cost. How do you build to achieve that? What approach should you take, which tools and what resources and skill-mix are required to support that? Our Data Engineering Summit coming up on 31st August will look at exactly those demands. As we explore these challenges, we rev…
 
Ben and Michael walk through two different cases studies relative to production ML infrastructure and recommendation engines. The first is about a free on-line tutoring service for underserved communities called “Learn to Be”, and the second centers around the online course provider “Coursera”. Ben and Michael set up the case studies with fundament…
 
Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low re…
 
On this week's episode we interview Michael Cohen, the Tech Rabbi. Michael is both a designer and an educator, as well as the author of the recent book Educated by Design, which outlines methods for bringing design thinking and creativity into the classroom - Michael is a big fan of creativity. Our conversation started from the recognition that the…
 
Paul Pupprecht leitet als Senior Projektmanager das Team Machine Learning Projects & MLOps bei Merantix Momentum, einem Machine Learning Service Provider mit Sitz am AI Campus in Berlin. Dabei nutzt er seine Erfahrung im Bau von Data Science Pipelines und der Umsetzung von Projekten in den Bereichen Predictive Maintenance, Predictive Quality und Co…
 
В гостях Никита Васильев - Senior Big Data Engineer, Grid Dynamics и Вероника Голубева - Senior Data engineer, Datrics. Разговариваем о том, кто такие дата-инженеры и где их место среди всего дата-сайнс. Почему в некоторых компаниях дата-инженеры выделились в отдельную профессиональную единицу, а в других даже не понимают кто это? Какой круг обязан…
 
An emergent behavior or emergent property can appear when a number of simple entities operate in an environment, forming more complex behaviours as a collective. If emergence happens over disparate size scales, then the reason is usually a causal relation across different scales. Weak emergence describes new properties arising in systems as a resul…
 
Shackleton believed in the importance of comforts in maintaining morale. Shackleton insisted on healthy diet, exercise, and reasonably safety measures. The play soccer and hockey, raced the dogs, and took long walks. Orde-Lees rode his cherish bicycle and one venture went too far and got lost, after that Shackelton forbad his to ride the bicycle. I…
 
The answer to this question is simple: it was the center of an important trade It was the junction of two trade routes, one east ��west and one north south The latter, which was the more important, was the one that crossed the Isthmus of Tehuantepec It was at this point that the trade from Oaxaca to the region of the Gulf of Mexico was transferred …
 
Today we focus on oil recovery from wells with pressure and viscosity levels that make oil production from these wells uneconomical This creates a market for additives to increase viscosity, increase pressure, and make these wells more economic The future of oil recovery from wells with high pressure and low viscosity is a new generation of additiv…
 
WHY WILL DEVELOPMENT OF OIL FIELDS IN SIBERIA BE IMPORTANT INVESTMENTSFOR THE ECONOMY OF THE REGION?The development of the oil fields in Siberia is a very important investment for the economical development of the region The development of oil fields in Siberia will improve the economic situation in the region and will allow to solve the problem of…
 
WHY HAS THE MARKET IGNORED MONTHLY INCREASES IN FOOD AND ENERGY COSTSThe upward path of food and energy prices has been well-documented by the U S Department of Labor and other governmental bodies The yearly changes in the Consumer Price Index for all items since 2000 The CPI for food and energy And it is apparent that the inflation rate for food a…
 
Today we kick things off with a conversation with D. Sculley, a director on the Google Brain team. Many listeners of today’s show will know D. from his work on the paper, The Hidden Technical Debt in Machine Learning Systems, and of course, the infamous diagram. D. has recently translated the idea of technical debt into data debt, something we spen…
 
The drop in Japanese bond yields has been attributed to investors switching from low-yield bonds in Europe to higher-yielding Japan But analysts say it is also due to the Bank of Japan's aggressive monetary policy, which is aimed at lowering the yen's value to boost exports and reignite inflation Its bond-buying programme has been running for sever…
 
The Lord is the bride groom. He will receive his bride: the House of Israel, who divorced Him in the past through harlot-like behaviors of disloyalty. The House of Israel was the wife of His youth, having wandered for four-thousand years. The marriage will be epic, and all things will be restored—a love between husband and wife restored—the feeling…
 
the exorbitant price of oil was the key factor in the economic collapse of the Soviet Union in the 1980s The world oil price collapsed in 1986 to a low of $10 per barrel by the end of the year The price of oil never recovered in the 80s and then crashed in the early 1990s as the Soviet Union collapsed The Mexican oil price collapsed too in 1986 and…
 
I am not a "perma-bear" -- someone who is always predicting bearish events -- but I am a "perma-realist" -- someone who is right more often than wrong Every time I predicted the price of oil would drop, it did I predicted the collapse of oil prices when oil was at $20 a barrel I said the price of oil would drop to $15 a barrel in early 2016 I said …
 
the exorbitant price of oil was the key factor in the economic collapse of the Soviet Union in the 1980s The world oil price collapsed in 1986 to a low of $10 per barrel by the end of the year The price of oil never recovered in the 80s and then crashed in the early 1990s as the Soviet Union collapsed The Mexican oil price collapsed too in 1986 and…
 
why are junk bonds growing out of controlThe explanation is simple The Fed��s policies are a boon for Wall Street, but the market is simply not getting the money that is being created by the trillions, because of the Feds Quantitative Easing (QE) policies That is, the Fed��s total assets are near $9 trillion, but most of that is sitting on the book…
 
China is currently the worlds second-largest economy and is projected to be the largest by the year 2050 Chinas economy is growing at 2% per year and is expected to continue to grow at an average of 2% annually https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=CN&start=2003China is now the third-largest destination for U S exports an…
 
According to the U S Census Bureau, there are more than 5200 credit unions in the United States, with almost 114 million members The average credit union has about $1 billion in assets and 21,000 member https://mobile.creditunions.com/#/6922/blogs/industry-insights/members-by-the-numbers-1q18/What's in store for the future? In the next five years, …
 
There is a common perception that renewable energy is an expensive option However, renewable energy is now close to, or even cheaper than, fossil fuel options in a number of countries A report by the US Lawrence Berkeley National Laboratory suggests that by 2020, the cost of solar PV will be cheaper than the cost of onshore wind globally Renewable …
 
Today we’re joined by Rob Walker, VP of decisioning & analytics and gm of one-to-one customer engagement at Pegasystems. Rob, who you might know from his previous appearances on the podcast, joins us to discuss his work on AI and ML in the context of customer engagement and decisioning, the various problems that need to be solved, including solving…
 
The idea is that robots will be able to learn how to recognize, classify, and even behave in certain situations by interacting with people like a child does: by watching and listening to what people do and say, and by trying to imitate them. My research focuses on a small part of this bigger picture: on the design of learning algorithms that help r…
 
We can be grateful that the Lord will restore the plain and precious truths of the gospel. We will experience the love and understanding of Christ, and our hearts will love Him. Just as we adore a lamb, His kindness and strength will be a joy to us as Satan rages. We will look to Christ in every thought. We will come upon to the Savior and be saved…
 
Revelation 115 And if any man will hurt them, fire proceedeth out of their mouth, and devoureth their enemies: and if any man will hurt them, he must in this manner be killed.Elijah had power to call down fire from heaven to burn up the altar of Baal.6 These have power to shut heaven, that it rain not in the days of their prophecy: and have power o…
 
We deserve what we get for allowing the constitutional protections God caused to be raised up be replaced by an arm-of-flesh system that can so easily impoverish and enslave the people. It is leaving us all as paupers and serfs in the land our forefathers fought to make free. It isn’t free. We have allowed Gadiantons to get above us and have not aw…
 
And that brings us to a big question why are bond yields so low and why has this phenomenon been going on for the last several years?It is a puzzle we have been trying to solve for some time but the more we learn, the less we understand The orthodox view is that it is a rational response to the economic conditions The argument goes that the economy…
 
The answer is in Chinas monetary policy China has been pumping credit into the economy for over a decade We call it printing money�� in the west The Chinese call it credit growth China��s monetary policy is similar to Japans in the 1980s, just on a larger scale The Chinese are not printing money to cover its deficits as Japan did But they are pumpi…
 
Joseph was son of Jacob and Rachael. He was a visionary youth. Jacob loved Joseph realizing he was highly-favored of the Lord. There seems to be jealousy among “sons of Bilhah, and with the sons of Zilpah” with Joseph. Joseph reported the evil to his father. The jealousy among the brothers increased towards Joseph because of his integrity and his f…
 
Today we close out our coverage of the ICLR series joined by Meg Mitchell, chief ethics scientist and researcher at Hugging Face. In our conversation with Meg, we discuss her participation in the WikiM3L Workshop, as well as her transition into her new role at Hugging Face, which has afforded her the ability to prioritize coding in her work around …
 
Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and automate human work, improve operational efficiencies and customer experiences, and ultimately empower people to be their best. Michael shares specific examples of how this can be done for human agent productivity within contact center…
 
LENR occurs when special circumstances exist causing the electromagnetic and weak nuclear reaction break down. The flow bond model between quarks makes more sense. If the quark twister pump configurations change than the flow charges change and the structure of the atom changes because a proton becomes a neutron. For a neutron to become a proton, o…
 
Energy is conserved, "you can increase energy here, but you will have to lower it there". Raw mass provides a potential source of energy. Energy can be in the form of mass or kinetic energy. E = mc^2 + 1/2 mv^2 suggests that 1/2 mv^2 is the kinetic energy of the moving mass. Energy, mass, and momentum combine into a single spacetime object. Space a…
 
Some people believe that the energy in the Universe is limited They say that there is only so much energy, and when it is used up, we will all have to stop In fact, according to the Standard Model, the amount of matter and energy in the Universe is not limited It is infinite --- Send in a voice message: https://anchor.fm/david-nishimoto/message…
 
The most obvious explanation is that investors around the world, who will eventually be the buyers of the S&P 500, are being suppressed by the monetary authorities in their home countries The European Central Bank (ECB) is purchasing Italian and Spanish government bonds in their secondary markets The Bank of Japan is conducting an unprecedented mon…
 
Today we continue our ICLR coverage joined by Been Kim, a staff research scientist at Google Brain, and an ICLR 2022 Invited Speaker. Been, whose research has historically been focused on interpretability in machine learning, delivered the keynote Beyond interpretability: developing a language to shape our relationships with AI, which explores the …
 
What would GE be like without Gary Wendt, Dennis Nayden, and Mike Neal? Nayden the brainpower to structure big complex deal; Neals the people connections negotiator; and Wendt the idea man and acquistion proposing machine. Wendt and Nayden drove GE towards global growth: The 1983 purchase of American Mortgage , 1984 purchase of Employers Reinsuranc…
 
When a bank extends credit, it issues debt in the form of a claim against the borrower It might be a mortgage on a house, a car loan, a credit card, or some other kind of debt instrument The important thing about the debt is not so much its type as its size relative to the borrower’s balance sheet If the bank makes a loan of $100,000, for example, …
 
The sabbath is a sign to the Lord we desire to delight in what he delights in. We need to be the kind of person that delights in sabbath day worship and learning. If we don’t delight in the sabbath we can work piece by piece until the sabbath is a day we look forward too.Isaiah 5813 If thou turn away thy foot from the sabbath, from doing thy pleasu…
 
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