Which Data-Science skills are the most vital in 2021?

There are a lot of industry standard tools that any aspiring data scientist will certainly want to be familiar with. Experience with these tools is almost always presented as a requirement on job listings because they are likely the tools you will be working with in-house. At the very least, familiarity with the concepts presented by the tools will make them easier to utilize before you have gotten the chance to get experienced with them.

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Using Linear Regression to predict the Dow Jones Industrial Average Index

The stock market is filled with individuals who know the price of everything, but the value of nothing.” — Fischer“A prediction about the direction of the stock market tells you nothing about where stocks are headed, but a whole lot about the person doing the predicting.”

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How I built this: Machine learning with Amazon Personalize and a Customer Data Platform

By making off-the-rack machine learning models accessible for anyone to use, cloud ML services like Amazon Personalize help make ML-driven customer experiences available to teams at any scale. You no longer need in-house data science and machine learning experts to get the benefit of propensity scoring or product recommendations.

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The Triangular Moving Average: Another way to find Support & Resistance Levels

Moving averages are a great way to provide support and resistance levels among other uses. There are many types of moving averages and in this article, we will discuss the Triangular Moving Average and some strategies revolving around it. For more on other types of moving averages, feel free to check the below article…

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Incoming White House science and technology leader on AI, diversity, and society

Technologies like artificial intelligence and human genome editing “reveal and reflect even more about the complex and sometimes dangerous social architecture that lies beneath the scientific progress that we pursue,” said Dr. Alondra Nelson today as part of the introduction of the Biden administration science team. On Friday, the Biden transition team appointed Nelson to the position of OSTP deputy director for science and society. Biden will be sworn in Wednesday to officially become the 46th president of the United States.

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Why we might be looking at the Brain in the wrong way

The mind tries to understand the world in terms of concepts, most of which are dressed in language and in some cases, in mathematics. But our conceptual understanding of the world suffers from a chicken-and-egg problem: where do the concepts in which this understanding is modeled come from in the first place? How can you build a new theory with old terminology and make sure that it doesn’t suffer from the implicit assumptions inherent in the terminology?

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“Don’t just beat the market – crush it”

When I was reviewing our new flagship SaaS TradersAlmanac.ai, I thought that the charts could use a little extra ‘oomph’ to make them do their conversion magic more powerfully. Indeed, in versions gone by of charts like these for other projects, Coindex CEO Ryan had asked for the very same thing: comparisons against S&P, NASDAQ and DJIA.

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Oqton raises $40 million to apply AI to additive manufacturing

Oqton, a startup developing an operating system that integrates engineering software with manufacturing hardware, has raised $40 million.

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And this, in a nutshell’s nutshell, is “Machine Learning”

Combining Part 1 and 2: Probably imagining a robot or terminator when asking about machine learning, in reality, machine learning is beyond and involved in almost all application you can imagine in our today world. Think of spam filter in your email, voice, face and fingerprint recognition on your phone, your Siri on iPhone, google assistance on android device etcetera have an iota of machine learning.

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Applications of Artificial Intelligence in Fire & Safety

Being a student secretary of the Fire and Security Association of India at my college, I have conducted various surveys and workshops on methodologies to avert the dangers caused due to fire. As an AI enthusiast, I have always aspired to come with innovative solutions to tackle such issues. My experience in the fire and safety domain with competence in building AI solutions motivated me to think of possible solutions to tackle problems faced by the fire department.

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Nayya raises $11 million to guide employee health benefits decisions with AI

Nayya, an insurance benefits management platform, today announced it has closed $11 million in a series A round led by Felicis Ventures. Nayya says the funds will be put toward product research and development as it seeks to acquire new talent and customers.

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Molecula raises $17.6 million for its AI feature store technology

Molecula, which is developing a cloud-based feature store for AI and machine learning workloads, today announced it has raised $17.6 million. The company says the proceeds will be put toward accelerating the launch of its managed cloud service and bolstering its sales and marketing efforts.

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Rapyd raises $300 million for its unified payments platform

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Rapyd, which is developing an all-in-one payments solutions platform, today announced it has raised $300 million, bringing the company’s total raised to over $450 million. CEO Arik Shtilman said the funds will be used to double the size of Rapyd’s engineering and product teams and explore acquisitions globally.
Virtual card spend is projected to grow to $355 billion by 2022, up from $136 billion in 2017, according to Accenture. With annual transaction volumes anticipated to surpass $9 trillion, businesses are increasingly investigating unified payment solutions.

Rapyd offers solutions on the web and mobile, including the ability to accept cash, bank transfers, e-wallets, local debit cards, and over 900 alternative payment methods in more than 100 regions. The platform supports disbursements in over 170 countries and multicurrency settlement to a single file across 65 currencies. Moreover, it delivers real-time foreign exchange, ID verification via document scanning, and anti-money laundering and counter financing terrorism (AML/CFT) services.
Rapyd offers an API, a software development kit that integrates with existing apps, and responsive designs for merchant checkout flows. The checkout solution can stand alone or coexist with gateways and local payment systems, while Rapyd’s white-label wallet platform ships with features targeting retail shops and rewards programs.
Rapyd competes with a number of well-established companies in a financial tech sector estimated at $147.37 billion as of year-end 2018, including Ayden, PayPal, and Stripe. But Rapyd hit around $100 million in revenue last year at a pre-money valuation of $1.2 billion, driven by the fees it levies on payments and multicurrency transactions (3.5% plus 30 cents for funds in and $1.50 plus 1% for exchanges).

Over the past year, Rapyd has expanded its network with new and existing products for Thailand, South Korea, Mexico, India, Brazil, and the U.K. It also acquired Iceland-based payment card service provider Korta, inked agreements with Visa and Mastercard, launched an anti-fraud service called Rapyd Protect, and partnered with payments technology company InComm to support cash bill pay and load solutions at participating retailers in the U.S.
“The demand for online payments has skyrocketed following the restrictions due to the effects of COVID-19, and as a company, we are well-placed to provide businesses across the globe with the solutions they need and to get them up and running fast,” Shtilman said in a statement. “To kick off 2021 with this substantial round of funding to further invest in our platform is a tremendous vote of confidence both in the growing need for local payment solutions that can be deployed at scale globally, and more specifically in our vision and company.”
Coatue led the series D funding round announced today, with participation from Spark Capital, Avid Ventures, FJ Labs, and Latitude. Current backers General Catalyst, Oak HC/FT, Tiger Global, Target Global, Durable Capital, Tal Capital, and Entrée Capital also contributed. Rapyd has offices in London and Mountain View, California.

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What this bald eagle and neural network depiction have to do with future U.S. AI strategy

The White House Office of Science and Technology Policy (OSTP) today announced the launch of the National Artificial Intelligence Initiative Office, an organization that will coordinate and oversee national AI policy initiatives for the United States government. “The Office is charged with overseeing and implementing the United States national AI strategy and will serve as the central hub for federal coordination and collaboration in AI research and policymaking across the government, as well as with private sector, academia, and other stakeholders,” according to a White House statement.

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Google trained a trillion-parameter AI language model

Parameters are the key to machine learning algorithms. They’re the part of the model that’s learned from historical training data. Generally speaking, in the language domain, the correlation between the number of parameters and sophistication has held up remarkably well. For example, OpenAI’s GPT-3 — one of the largest language models ever trained, at 175 billion parameters — can make primitive analogies, generate recipes, and even complete basic code.

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Workato raises $110 million for its business workflow automation platform

Workato, which offers an integration and automation platform for businesses, today announced it has raised $110 million at a post-money valuation of $1.7 billion. The company says it will put the funds toward product innovation and technology development, expanding its customer success program, launching its first user conference in 2021, and investing in scaling teams in the U.S. and internationally.

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