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Python for Data Science: A Hands-On Introduction: 9781718502208: Computer Science Books @ Amazon.com

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Yuli Vasiliev is a programmer, freelance author, and consultant with more than two decades of experience. He began as a developer of database-driven applications, using Oracle database technology. The need for data analysis led him eventually to the field of ML and AI. His present professional interests are in the area of natural language processing (NLP). He runs the @stocknewstip_bot in Telegram, which is available at https://t.me/stocknewstip_bot.


Deep Learning Alone Isn't Getting Us To Human-Like AI

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Of course, deep learning has made progress, but on those foundational questions, not so much; on natural language, compositionality and reasoning, which differ from the kinds of pattern recognition on which deep learning excels, these systems remain massively unreliable, exactly as you would expect from systems that rely on statistical correlations, rather than an algebra of abstraction. Minerva, the latest, greatest AI system as of this writing, with billions of "tokens" in its training, still struggles with multiplying 4-digit numbers.


Why banks are betting big on artificial intelligence

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Before the pandemic, AI in banking was primarily used to automate routine tasks. But banks now see it as a vital tool to support product innovation, develop new business models, and provide a personalised experience for every customer. A recent Economist Intelligence Unit (EIU) survey of banking executives for Temenos found that 85% have a "clear strategy" for adopting AI to develop new products and services. It revealed over a third are prioritising AI to improve customer experience through personalisation. Some are also looking to acquire or partner with fintech companies to enhance their customer experience through a personalised experience when offering investments, saving deposits, and retail lending.


La veille de la cybersécurité

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We're currently in a "data renaissance" where enterprises realize that to execute on novel data and AI use cases, the legacy model of siloed technology stacks needs to give way to a unified approach. They also recognize that they need to empower their data teams with more turnkey solutions in order to focus on creating business value and not building tech stacks. Organizations also realize that the strategy can't be some top-down authoritarian initiative but needs to be supported with training to improve data literacy and capabilities that make data ubiquitous and part of everyday life. Ultimately, every organization trying to figure out how to achieve all this while making things simple. Here are the top habits of successful data and AI-driven organizations.


Complete UiPath RPA Developer Course: Build 7 Robots

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Master Robotic Process Automation (RPA) and UiPath – go from beginner to advanced. Welcome to the Complete UiPath RPA Developer Course: Build 7 Robots where you will learn everything you need to know to get started as a Robotic Process Automation (RPA) developer. Learn and master UiPath Studio and then build state-of-the-art software robots from scratch. The best part about this course is that this course is entirely project-based, which means you will be getting hands-on experience and learn the skills you need on how to build real-world software robots in an enterprise setting. So if you're the type of person who'learns by doing', then this course is for you.


A startup wants to democratize the tech behind DALL-E 2, consequences be damned – TechCrunch

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DALL-E 2, OpenAI's powerful text-to-image AI system, can create photos in the style of cartoonists, 19th century daguerreotypists, stop-motion animators and more. But it has an important, artificial limitation: a filter that prevents it from creating images depicting public figures and content deemed too toxic. Now an open source alternative to DALL-E 2 is on the cusp of being released, and it'll have no such filter. London- and Los Altos-based startup Stability AI this week announced the release of a DALL-E 2-like system, Stable Diffusion, to just over a thousand researchers ahead of a public launch in the coming weeks. A collaboration between Stability AI, media creation company RunwayML, Heidelberg University researchers and the research groups EleutherAI and LAION, Stable Diffusion is designed to run on most high-end consumer hardware, generating 512 512-pixel images in just a few seconds given any text prompt. "Stable Diffusion will allow both researchers and soon the public to run this under a range of conditions, democratizing image generation," Stability AI CEO and founder Emad Mostaque wrote in a blog post.


Faculty position in Artificial Intelligence in Chemical Engineering Department of Chemical & Bioc

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Applicants with research expertise in the application of data science, artificial intelligence, and machine learning to chemical and/or biochemical …


For Rent: 327 Square Foot Apartment With 5 Rooms---Thanks to Robot Furniture

WSJ.com: WSJD - Technology

Our homes are, as comedian George Carlin put it, just a place for our stuff. But what if, asks a new generation of startups, all that stuff could just…disappear? Inventors, architects and designers all over the world have lately converged on ways to do just that. Their technology can make parts of apartments and homes, and all their contents, slide out of view at the touch of a button. Former researchers at the Massachusetts Institute of Technology, ex-Apple and Tesla engineers toiling in San Francisco and a design and architectural firm in Spain are among those devising what can only be described as robotic furniture.


5 Ways AI and Machine Learning Are Changing the Way We Use CRM Software - Boss of Cloud

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Customer experience is crucial today to attract and retain customers. However, customers are getting confused amidst the noise generated by multiple sources of information and marketing via the internet. Enterprises therefore need a holistic strategy to offer a good experience and channels for direct engagement. This strategy requires enterprises to be consistent in the way they communicate key messages, create new products, focus on the selling process, and provide post-sale support and service, amongst other factors. Technology can give enterprises a big leg up in this area.


Visualize AI: Solve Challenges and Exploit Opportunities - ValueWalk

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Every day, new organizations announce how AI is revolutionizing the industry with disruptive results . As more and more business decisions are based on AI and advanced data analytics it is critical to provide transparency to the inner workings within that technology. McKinsey Global InstituteHarvard Business Review According to a recent McKinsey Global Institute analysis, the financial services sector is a leading adopter of AI and has the most ambitious AI investment plans. In a related article by the Harvard Business Review, adoption will center on AI technologies like neural-based machine learning and natural language processing because those are the technologies that are beginning to mature and prove their value. Below, we explore a challenge and opportunity that is unique to the rapid adoption of machine learning.