Why Electric Cars Aren’t Here, yet

www.bloomberg.com/news/articles/2019-01-06/before-the-electric-car-takes-over-someone-needs-to-reinvent-the-battery

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Here is an Overview of Machine Leaning

http://www.superdatascience.com/2

Data Science and Machine Learning is somethings we all should be aware of. Attached is a podcast with a course overview I am taking to get started.

Instrutor Bios are below

 

Instructors

Kirill Eremenko
Data Scientist & Forex Systems Expert
My name is Kirill Eremenko and I am super-psyched that you are reading this!

I teach courses in two distinct Business areas on Udemy: Data Science and Forex Trading. I want you to be confident that I can deliver the best training there is, so below is some of my background in both these fields.

Data Science

Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.

Forex Trading

Since 2007 I have been actively involved in the Forex market as a trader as well as running programming courses in MQL4. Forex trading is something I really enjoy, because the Forex market can give you financial, and more importantly – personal freedom.

In my other life I am a Data Scientist – I study numbers to analyze patterns in business processes and human behaviour… Sound familiar? Yep! Coincidentally, I am a big fan of Algorithmic Trading 🙂 EAs, Forex Robots, Indicators, Scripts, MQL4, even java programming for Forex – Love It All!

Summary

To sum up, I am absolutely and utterly passionate about both Data Science and Forex Trading and I am looking forward to sharing my passion and knowledge with you!
Hadelin de Ponteves
Data Scientist
Hello ! Je m’appelle Hadelin de Ponteves et je suis un data scientist passionnĂ© !

Etant particulièrement sensible au domaine de l’Ă©ducation, je suis dĂ©terminĂ© Ă  y apporter de grandes contributions. J’ai dĂ©jĂ  investi beaucoup de mon temps dans la sphère de l’Ă©ducation, Ă  Ă©tudier et enseigner divers sujets scientifiques.

Aujourd’hui, je suis passionnĂ© de data sciences, d’intelligence artificielle et de deep learning. Et je ferai de mon mieux pour vous transmettre mes passions. Car c’est en Ă©tant passionnĂ© que l’on rĂ©ussit le mieux dans un domaine, et que l’on est le plus heureux dans notre travail au quotidien.

J’ai acquis beaucoup d’expĂ©rience en data sciences. J’ai effectuĂ© mes Ă©tudes Ă  l’Ă©cole Centrale Paris, oĂą j’ai suivi le parcours Data Sciences, en parallèle d’un master de recherche en machine learning Ă  l’Ecole Normale SupĂ©rieure. Ma page Ă©tudiante s’est enchaĂ®nĂ©e avec une expĂ©rience chez Google oĂą j’ai fait des data sciences pour rĂ©soudre des problèmes business. Puis j’ai rĂ©alisĂ© que je passais la plupart de mon temps Ă  analyser et je dĂ©veloppais petit Ă  petit un besoin de crĂ©er. Donc pour nourrir ma crĂ©ativitĂ©, je suis devenu un entrepreneur.

Et justement, mes cours vont tous combiner ces deux dimensions d’analyse et de crĂ©ativitĂ©, grâce auxquelles vous intĂ©grerez toutes les compĂ©tences Ă  avoir en data sciences, en les appliquant Ă  des idĂ©es crĂ©atives.

J’ai hâte de vous retrouver dans mes cours et de partager mes passions avec vous !

Hi ! My name is Hadelin de Ponteves. Always eager to learn, I invested a lot of my time to learning and teaching, covering a wide range of different scientific topics. Today I am passionate about data science, artificial intelligence and deep learning. I will do my very best to convey my passion for data science to you. I have gained diverse experience in this field. I have an engineering master’s degree with a specialisation in data science. I spent one year doing research in machine learning, working on innovative and sexy projects. Then a work experience at Google where I implemented some machine learning models for business analytics. Eventually, I realised I spent most of my time doing analysis and I gradually needed to feed my creativity. So I became an entrepreneur. My courses will combine the two dimensions of analysis and creativity, allowing you to learn all the analytic skills required in data science, by applying it on creative ideas. Looking forward to working together !

Hadelin de Ponteves

New From Credit Suisse: Bonds for Self-Inflicted Catastrophes

Sagacious LLC will help customize a similar program to save op risk regulatory capital at your institution. 

By ANUPREETA DAS and LESLIE SCISM
May 16, 2016 1:21 p.m. ET WSJ

Credit Suisse Group AG is going to give it a try in the bond market. The bank plans as early as this week to launch unusual new securities that would pay investors relatively high interest rates. The catch is Credit Suisse could take their principal if incidents like rogue trading, information-technology breakdowns or even accounting errors lead to massive losses for the bank, people familiar with the offering said.

The deal is a first-of-its-kind twist on the “catastrophe bonds” that insurers have used for years to lay off the risk of natural disasters like hurricanes. Credit Suisse’s offering covers self-inflicted disasters as well as external events and has been marketed to hedge funds and other big investors.

The insurance feature of the bonds would be triggered if Credit Suisse’s annual operational risk-related losses cross $3.5 billion. Buyers have a level of comfort, however, because it’s a “second-event” bond. The most any single event could contribute to the trigger is $3 billion, meaning it would take more than one event to cross the threshold. The odds of that are remote: Credit Suisse has put them at roughly 1 in 500, the people said.

A Credit Suisse spokeswoman declined to comment.
The appetite for such offerings in the capital markets, as persistently low interest rates send investors searching for higher yields, is encouraging Wall Street companies to test new uses for the structure.

MORE

Heard on the Street: Credit Suisse Takes Out Insurance on Itself
Insurance-industry executives said that they haven’t previously seen a bank attempting to tap capital markets to cover this type of risk. The move has its roots in regulation. Under European bank rules, banks must calculate operational risk and may use insurance products as part of meeting their capital requirements, according to industry participants.

In general, operational risk is the possibility of losses resulting from insufficient internal controls, errant systems or rogue employees. The Credit Suisse offering doesn’t cover market losses from trading that is authorized by the bank, some of the people familiar with the matter said.

Paul Schultz, chief executive of the Aon Securities unit of global insurance brokerage Aon PLC, said an offering like Credit Suisse’s reflects “growing investor sophistication on the underwriting side and a general view that to continue to grow the asset class, investors are going to have to expand from simply writing property risk.”

Zurich-based Credit Suisse, via a Bermuda company called Operational Re, plans to issue a five-year bond of up to 630 million Swiss francs ($646 million) to qualified institutional buyers such as hedge funds, asset managers and firms that pool together capital from pension funds. The bonds are part of a planned package that includes an insurance policy of up to 700 million francs issued by Zurich Insurance Group. Most of the cost of any claim would be paid for by the bonds. The size of the bond offering and the policy limits ultimately will be determined by investor interest, the people said. A spokeswoman for Zurich said the company’s policy is not to comment on current or potential commercial relationships.

The coupon is expected to be in the “mid-single digits,” one of the people said—higher than what Credit Suisse was initially planning, in order to entice investors to buy the novel security.

Credit Suisse last week reported a first-quarter net loss of 302 million francs, compared with a profit of 1.05 billion francs in the same period last year. The bank’s new chief executive, Tidjane Thiam, has been retooling the bank away from its investment-banking business toward its more stable wealth-management unit.

European banks have long used insurance products to meet capital requirements set by regulators or to unload risk from their balance sheets. Before the financial crisis, giant insurer American International Group Inc. sold financial derivatives known as credit-default swaps to major European banks as insurance against losses in their holdings of subprime mortgage assets. AIG’s near collapse in 2008 in the wake of the housing-bubble burst was tied to the massive volume of credit-default swaps it had sold.

As for Credit Suisse’s new bond, the bank can’t call on the money to cover regulatory liabilities or government fines, the people said. Losses from rogue trading, which have hobbled large banks such as Société Générale and UBS Group AG in recent years, could be covered by the insurance provided by the bond, but any fines stemming from it wouldn’t be, they said.

Write to Anupreeta Das at anupreeta.das@wsj.com and Leslie Scism at leslie.scism@wsj.com

Sagacious LLC can customize a disaster bond for your institution.