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AI News Saturday, March 3 Available machine workforce, Broader financial trends, Artificial intelligence & more…

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AI News TLDR / Table of Contents

  • Advancements in AI are rewriting our entire economy
    • Advancements in AI are already impacting our economy, both in terms of individual wealth and broader financial trends.
    • available machine workforce, broader financial trends, S. Skoll chair, huge shift, standard 40-hour work
  • Artificial Intelligence Gains Momentum: From Machine Learning to Deep Learning
    • Artificial intelligence has quickly evolved from science fiction to digital assistants such as Alexa…
    • artificial intelligence, AI, Johnson, financial services firms, data
  • Every single Machine Learning course on the internet, ranked by your reviews
    • A year and a half ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master’s program using online resources. I realized that I could…
    • weighted average rating, machine learning, , ,
  • Deep learning is only as good as its data
    • “Deep learning” has become a hot topic in the general rush to launch AI products. But many of these products will fail because companies are putting branding ahead of functionality. Success depends on understanding what deep learning is, how it works, and what its most effective applications are.
    • deep learning, neural networks, deep learning networks, data, training data
  • The Luxembourg Fintech Map
    • The Luxembourg Fintech Map Complied with the support of LFF, ALFI, ACA and ABBL, you will find below a non-exhaustive Fintech map giving an overview of the vibrant Luxembourg…
    • vibrant Luxembourg Fintech, non-exhaustive Fintech map, , ,

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Advancements in AI are rewriting our entire economy

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  • Its long been theorized that a readily available machine workforce will make it more difficult for humans to keep their jobs, but automation may, in fact, offer up more even-handed consequences.
  • Image: Techonomy – – – – – While jobs that rely on manual labor may increasingly fall to machines, everything from the design of these systems to their upkeep has the potential to create new jobs for humans.
  • Universal basic income (UBI) has been touted as one solution to decreased job opportunities for humans.
  • It would be a huge shift in its own right, and there could be smaller changes to be made in the meantime that would ease the transition toward a greater reliance on automation and AI.
  • Automation and AI could have a positive effect on wealth disparity and quality of life for the average person.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: available machine workforce, broader financial trends, S. Skoll chair, huge shift, standard 40-hour work[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Advancements in AI are rewriting our entire economy | World Economic Forum[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Artificial-Intelligence-Gains-Momentum-From-Machine-Learning-to-Deep-Learning”][vc_column width=”1/2″][vc_separator][vc_column_text]

Artificial Intelligence Gains Momentum: From Machine Learning to Deep Learning

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  • But we havent seen the penetration of AI within institutional finance, said Richard Johnson, vice president of market structure and technology at Greenwich Associates on a recent webinar about the evolution of A.I. and current levels of adoption on Wall – Street.
  • Large banks, hedge funds and traditional asset managers have been hiring data scientists to develop machine-learning algorithms that scan billions of data points, news articles, blogs, social media posts, and images.
  • Whats changed is computers can learn from data, and data is a key part of the growth of AI, said Johnson.
  • In research conducted last summer, Greenwich found that 18% of financial services firms had already implemented AI technology in their business, while 57% were exploring the technology and had plans to implement in the next 12 months.
  • Overall, three-quarters – of banks and financial services firms have plans to implement AI in the next 12 months, said Johnson.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: artificial intelligence, AI, Johnson, financial services firms, data[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Artificial Intelligence Gains Momentum: From Machine Learning to Deep Learning[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Every-single-Machine-Learning-course-on-the-internet-ranked-by-your-reviews”][vc_column width=”1/2″][vc_separator][vc_column_text]

Every single Machine Learning course on the internet, ranked by your reviews

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  • Every single Machine Learning course on the internet, ranked by yourreviews – A year and a half ago, I dropped out of one of the best computer science programs in Canada.
  • Preference is given to courses that cover more without skimping on detail.Usage of common data science and machine learning tools.
  • If you are interested in deep learning specifically, weve got you covered with the following article: – My top three recommendations from that list would be: – Creative Applications of Deep Learning with TensorFlow by KadenzeNeural Networks for Machine Learning by the University of Toronto (taught by Geoffrey Hinton) via…
  • Ng explains his language choice: – In the past, Ive tried to teach machine learning using a large variety of different programming languages including C++, Java, Python, NumPy, and also Octave And what Ive seen after having taught machine learning for almost a decade is that you learn much faster…
  • Highly recommended.The only problem I see with this course if that it sets the expectation bar very high for other courses.The preview video for Andrew Ngs Machine Learning class.A new Ivy League introduction with a brilliant professorMachine Learning (Columbia University via edX)Columbia Universitys Machine Learning is a relatively new offering…

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[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Every single Machine Learning course on the internet, ranked by your reviews[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Deep-learning-is-only-as-good-as-its-data”][vc_column width=”1/2″][vc_separator][vc_column_text]

Deep learning is only as good as its data

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  • Previously called artificial neural networks or neural networks, deep learning uses multiple such nodes, organized like the neural networks originally invented in 1943 to model how human brains work.
  • Deep learning requires ample data and training time.
  • Mislabeling and overuse – Vendors tendency to label almost anything deep learning is a recipe for disappointment because the technology is less effective without sufficient data and domain expertise.
  • With deep learning, you start with sample data, deploy the model, and then expose it to the real world.
  • While deep learning might eliminate the need to have domain experts in the feature extraction part of the classification process, it still requires expertise in the data extraction process.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: deep learning, neural networks, deep learning networks, data, training data[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Deep learning is only as good as its data | VentureBeat[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”The-Luxembourg-Fintech-Map”][vc_column width=”1/2″][vc_separator][vc_column_text]

The Luxembourg Fintech Map

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  • Complied with the support of LFF, ALFI, ACA and ABBL, you will find below a non-exhaustiveFintech map giving an overview of the vibrant Luxembourg Fintech ecosystem.
  • Spot a Fintech company in Luxembourg missing from this map?

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: vibrant Luxembourg Fintech, non-exhaustive Fintech map, , , [/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]The Luxembourg Fintech Map – Insights – LHoFT[/vc_column_text][/vc_column][/vc_row]