Alina Schellig

28. Januar 2021

Cientista de dados: saiba tudo sobre a profissão

Filed under: Bootcamp de programação — admin @ 18:51

Isso deve ser levado em conta na hora de contratar esse profissional, já que, talvez, ele não seja exatamente o que a sua empresa precisa. Ademais de se debruçarem sobre estatísticas avançadas, eles conhecem e dominam diferentes linguagens de programação e ainda têm a visão sobre todas as áreas do negócio. Para quem está buscando saber como se tornar cientista de dados, é importante lembrar que é possível entrar na área sem ter todos esses conhecimentos completamente desenvolvidos. A pessoa cientista de dados também cuida da visualização dos insights encontrados e do compartilhamento desses achados para outras pessoas em uma linguagem compreensível. É dever dessa pessoa cuidar do deploy do modelo ou algoritmo de análise para que ele seja utilizado no dia a dia, como parte de outra aplicação.

  • Um cientista de dados costuma trabalhar com um time de Ciência de Dados na empresa.
  • As técnicas de Ciência de Dados permitem que os engenheiros analisem esses dados em tempo real, identificando padrões, anomalias e problemas potenciais antes que se transformem em problemas críticos.
  • O analista de dados pega esses dados brutos já tratados e os transforma em informação.
  • Recentemente, a USP de São Carlos incluiu no seu portfólio o curso de Estatística e Ciência de Dados (bacharelado).
  • E, claro, nada impede que um Engenheiro Químico se torne Cientista de Dados ao desenvolver as habilidades analíticas necessárias.

É importante ter a capacidade de desenvolver modelos para estruturar a relação entre os dados e implementá-los com uma linguagem. O conhecimento desenvolvido sobre Data Science aplicado a aquele modelo de negócio molda profissionais experts em uma vertical. Esse perfil de data scientist se torna muito valioso no mercado, na medida em que novas empresas de um mesmo segmento surgem e passam a buscar por especialistas. Atualmente, existem várias “gerações” de cientistas de dados que entraram e saíram das mais variadas organizações, e que vêm com diferentes qualidades que podem se adequar a diferentes tipos de empresas. Tudo depende dos tipos de problemas ou projetos que são trabalhados no local, o que não significa que um tipo de cientista de dados é melhor do que o outro, mas sim do que a empresa está procurando.

O que faz um cientista de dados? Conheça a profissão

Embora seja uma profissão recompensadora e em alta demanda, há várias questões e desafios que os cientistas de dados enfrentam regularmente. A formação e as habilidades necessárias para ser um https://deliriumnerd.com/2024/04/22/cientistas-de-dados-empresas/ vão muito além do conhecimento técnico. Elas abarcam uma combinação de educação formal, aprendizado contínuo e desenvolvimento de competências interpessoais. A formação acadêmica para cientistas de dados frequentemente começa com uma graduação em áreas como Estatística, Matemática, Ciências da Computação ou Engenharia. No entanto, o campo é notavelmente interdisciplinar, e profissionais com formações diversas podem se tornar cientistas de dados, desde que adquiram as habilidades técnicas necessárias.

  • Os cientistas de dados podem usar métodos de machine learning como uma ferramenta ou trabalhar em estreita colaboração com outros engenheiros de machine learning para processar dados.
  • Por isso, experts são bem-vindos, mas são ainda melhores quando conseguem manter um olhar amplo sobre todo o mercado.
  • Essa pessoa deve saber realizar investigações nos dados para extrair valor e conseguir responder às perguntas do negócio com análises aprofundadas e multifuncionais.
  • Ter um ritmo faz você manter aquele trabalho a médio-longo prazo, então a gente vê uma correlação entre você ter ritmo com um objetivo a médio-longo prazo de concluir diversos estudos.

Um cientista de dados pode projetar resultados de reservas para diferentes níveis de gastos de marketing em vários canais de marketing. Essas previsões de dados dariam à empresa de reservas de voos mais confiança para tomar suas decisões de marketing. Embora a profissão ofereça muitas recompensas e oportunidades, ela também exige dedicação, aprendizado contínuo e a habilidade de navegar em um ambiente que está sempre mudando. Para aqueles que se adaptam bem a estas condições, a carreira de cientista de dados pode ser extremamente gratificante e enriquecedora. Os salários dos cientistas de dados podem variar consideravelmente, dependendo de fatores como localização geográfica, setor de atuação, nível de experiência e habilidades específicas.

Você dentro do mercado

Por exemplo, um serviço de reserva de voos pode registrar dados como o número de bilhetes reservados a cada dia. A análise descritiva revelará picos de reservas, quedas nas reservas Como os cientistas de dados podem ajudar as empresas e meses de alta performance para este serviço. Os analistas de dados geralmente focam na interpretação e apresentação de dados existentes para responder a perguntas específicas.

What is Staking? How to Earn Crypto Rewards

Filed under: Cryptocurrency exchange — admin @ 18:47

how to stake ethereum

For starters, any user who wants to become a validator must generate a key pair, a private and public key. These are known as their “validator keys” and they are responsible for identifying the validator and handling reward collection. It’s these keys that any validator will need to sign messages and participate in consensus activities. By September 2022, the Proof-of-Stake chain had gathered enough validators to support the whole Ethereum network in a decentralized manner.

What is a validator?More

how to stake ethereum

The network is designed to catch you back up to where you should have been had your equipment not been under maintenance. However, you won’t get the rewards you may have received if your equipment had been operating. Ethereum staking strengthens the network’s security by incentivizing validators to act responsibly and honestly. Each of us has extensive theoretical and practical experience in trading, cryptocurrencies, and blockchain.

Our Services

how to stake ethereum

Of the crypto exchanges reviewed by NerdWallet, a handful offer staking or rewards for at least some crypto assets. For one, they’ll likely take a cut of your earnings — a cost you could avoid by staking on your own. One option is to use an online service to stake your tokens for you.

If you believe in the value of the Ethereum network, for notes to monetary statements definition and which means instance, the day-to-day swings in price may not affect your desire to sell. Staking is one thing you can do to get shorter-term value from a crypto investment you want to hold onto. Crypto.com, for instance, was estimating in July of 2024 that annual yield for its highest-yielding cryptocurrency would exceed 19%.

Create a Crypto Wallet

Research those minimums before getting involved so you have the funds available to adhere to the strategy you developed earlier. The vast majority of users, however, will be better served by staking ETH on a platform like Binance.US. Hardware costs for the Ethereum validator node depend on what you use. Building a computer to serve as a node can cost between $700 to $1500, not including monthly expenses, and can go up from there, depending on the specific components, their quality, and replacement schedules. You could think of staking as being similar to a stock that pays dividends.

Have you explored other forms of passive income?

With Ledger Live, you have a few options to begin earning ETH rewards passively. While this method is much more hands-off than native (solo) staking, it still has a big barrier to entry, as not everyone has 32ETH to fund a validator with. That said, Solo staking on Ethereum represents the gold standard for staking.

  1. Partial withdrawals, on the other hand, can take about 4.27 days to process.
  2. To explain, the entity offering this service is doing so to make money themselves.
  3. No two individuals will share the exact same approach to the market, so build a plan that works for you.
  4. For comparison, yields on savings accounts reviewed by NerdWallet are currently averaging 0.46% APY, according to the Federal Deposit Insurance Corp.

Currently, the annual percentage rate hovers around 4% to 5%, but this rate is set by the Ethereum network and rises and falls based on the number of validators. The fewer validators, the higher the return, which incentivizes users to join the network and stake funds. The greater the number of validators, and the APR will fall slightly. One of the perks of moving to proof-of-stake was that any Ethereum holder could earn rewards by staking their funds and becoming a participant in the network.

This means your computer has to update to the most recent copy of the Ethereum blockchain. From there you’ll need to generate your validator keys and deposit 32 ETH to the deposit contract address. This activates your node, which you can monitor and control using your validator keys.

Joining a pool

Users are compensated with an equal amount of stETH as the amount of ether they staked. The stETH tracks Ethereum’s price, so there is virtually no lost value. Using a staking pool through an exchange is easily the most straightforward and simple.

If they behave well, they receive rewards and if they behave badly, their stake is slashed. An Ethereum node consists of both an execution layer (EL) client, as well as a consensus layer (CL) client. These clients are software that work together, along with a valid set of signing keys, to verify transactions and blocks, attest to the correct head of the chain, aggregate attestations, and propose blocks. Staking ETH comes with potential volatility and liquidity risks, maintenance and technical issues with equipment, and financial penalties. The price of ETH could drop or the validator could stop working as intended due to malfunctions, errors, or hacks, causing you to lose some of your investment. Your staked ETH will be locked up for the duration of the staking period, and you will not be able to access it during that time.

So the existing Ethereum clients deactivated their mining, block propagation, and consensus logic and these tasks henceforth became the responsibility of the Beacon Chain. Meanwhile, this PoS chain joined together with the rest of the original Ethereum network in an event known as the Merge. To make the transition, it relied on the creation of a new chain; the Beacon chain. This new Proof-of-Stake chain started out by accepting blockchain transactions from the original proof-of-work Ethereum network. However, to achieve enough decentralization to support the entire network securely, it needed more validators.

On the Ethereum network, for example, you’d need to start with at least 32 ETH, which on July 3, 2024, would be worth more than $105,000. Staking through a pool or through an online service does not carry such requirements. “People often delegate to validators with lower voting power to increase the decentralization of an ecosystem,” Bhat says. However, these exchange-based staking programs are under increasing regulatory scrutiny. U.S. regulators have gone after a handful of providers, most recently Coinbase, alleging that the arrangement runs afoul of securities laws. We believe everyone should be able to make financial decisions with confidence.

To explain, becoming a validator, or even just funding one, doesn’t require high-performance hardware. Staking provides the security model for Proof-of-Stake (PoS) networks like Ethereum. Put simply, participants lock up a certain amount of their cryptocurrency holdings, known as a “stake”. Then these funds act as collateral allowing them to validate transactions.

Popular exchanges like Binance or Coinbase allow users to lock up their Ethereum and earn generous rewards that are paid out every few days. This requires software such as Stereum, Vouch + Dirk or Rocket Pool CLI. Generally, the more that is at stake, the better a user’s chance of earning transaction fee rewards. But when a user’s proposed block is found to have inaccurate information, they can lose some of their stake — in a process known as slashing. Staking rewards for Ethereum vary based on factors such as the number of participants, the total amount of ETH staked, and the staking platform used.

26. Januar 2021

Azure Data Engineer Job Description Roles and Responsibilities

Filed under: Education — admin @ 18:41

This in turn increases the number of job opportunities for Azure Data Engineers constantly. Second, Jack communicates with the Data Scientist azure cloud engineer to understand the data requirement. He also communicates with the business team to know the business requirements of the organization.

In order to manage big data and other operational services, businesses are continuously in need of data engineers. You can check out all the above-mentioned resources to prepare https://remotemode.net/ for the exam. However, if you want to learn from an expert, Intellipaat is your best option as its training programs are designed and led by industry professionals.

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Kingson Jebaraj is a highly respected technology professional, recognized as both a Microsoft Most Valuable Professional (MVP) and an Alibaba Most Valuable Professional. With a wealth of experience in cloud computing, Kingson has collaborated with renowned companies like Microsoft, Reliance Telco, Novartis, Pacific Controls UAE, Alibaba Cloud, and G42 UAE. He specializes in architecting innovative solutions using emerging technologies, including cloud and edge computing, digital transformation, IoT, and programming languages like C, C++, Python, and NLP. Wee Hyong Tok is a principal data science manager with the AI CTO Office at Microsoft, where he leads the engineering and data science team for the AI for Earth program.

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Azure Data Engineer Job Description [Roles and Responsibilities]

Implementing an Azure Data Solution is covered in DP-200, and designing an Azure Data Solution is covered in DP-201. Data engineers who are interested in creating and implementing data management, monitoring, security, and privacy should take any of these tests. To start a successful career in cloud computing, you must have a solid conceptual foundation. Online Cloud training courses concentrate on assisting you in mastering complex ideas from scratch. Once you achieve the certification, it validates your knowledge and/or experience in the domain. Since now you know the topics that are covered in the examination, let’s see how you can prepare for this certification.

azure engineers

Organizations constantly hire certified Azure Data Engineers to convert unstructured data into smart structured data, which Data Analysts and Data Scientists can use. In this blog, you will get a step-by-step guide to how you can become a Microsoft Certified Azure Data Engineer. You will also see how you can prepare for Azure Certifications like the new DP-203 with the help of the right training and guidance. In the previous article, we discussed the concepts of prompt and zero-shot learning.

000+ Azure Cloud Engineer Jobs in United States

Microsoft Azure is a cloud computing platform that gives businesses fantastic services. Microsoft reported that every year about 400,000 businesses sign up for the Azure platform. This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. We hope that this blog has opened up the door to learn about the Azure Data Engineer jobs, roles and responsibilities, certification along with its benefits. If you have more queries, drop a comment below, and let us reach out to you.

  • As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform.
  • Visit our other pages focused on salary and education for azure engineers.

You’ll use the training and deployment workflow for the Azure Machine Learning service in a Python Jupyter notebook and then use the notebook as a template to train your own machine learning model with your own data. The ability of applicants to leverage the whole stack of Azure data services to meet business requirements is also tested in the certification examinations. In the above sample job description of Azure Data Engineer, you may have noticed that Azure Data Factory, Databricks, and Azure Data Lake Storage are some of the highly preferred skills. As organizations running on Azure need Data Engineers who are proficient in such Azure Data Services, these are some common skills required from aspiring Azure Data Engineers. The path to becoming a Microsoft Certified Azure Data Engineer includes many steps.

Go through these steps and prepare at your pace to attain the certification. However, you have to note that the Azure Data Engineer learning path is not the same for everyone. If you are a fresher or an IT professional who wants to switch your career, the path to attain this certification is similar for both. If you are already working in this domain and want to attain this certification to advance in your career, then the path will be much easier for you. To get certified, one has to pass the exam, and for that, one needs to know what questions will be asked in it and what the exam pattern will be.

azure engineers

Treatment of Substance Use Disorders Overdose Prevention

Filed under: Sober living — admin @ 14:27

This finding can provide an insight for researchers to clarify the definition of recovery before designing the research. Ambiguity in the definition of recovery occurred when the researcher tried to emphasize the theoretical differences in its definition but overlooked them in practice. We need to relinquish certain restrictions of the theoretical definition, but instead exert them practically. The researchers and clinicians need http://www.freeoboi.ru/eng/wallpaper/7497.html to agree on the criteria that determine the indicators of recovery in persons for assessing the recovery.

addiction vs recovery

Meeting People Where They Are

addiction vs recovery

A good place to start looking at this issue is to focus on the problems themselves. Both addiction and mental illness are brain diseases that affect behavior, attitudes, moods, and cognition alike. Both are profoundly stigmatized and those who struggle with these issues too often deal simultaneously with social isolation, poverty, http://anfiz.ru/books/item/f00/s00/z0000034/st049.shtml family estrangement, unemployment, and a loss of social status both at home and in the community. Many end up treated more like children than adults – people unable to make their own decisions or have control of their fate.

addiction vs recovery

What Is the Difference Between Treatment & Recovery?

  • In the first stage, precontemplation, substance users are largely unaware that their alcohol or drug use is causing problems.
  • „This is really good news I think and something to share and be hopeful about,“ said Dr. John Kelly, who teaches addiction medicine at Harvard Medical School and heads the Recovery Research Institute at Massachusetts General Hospital.
  • Peer or mutual support is not restricted to AA or NA; it is available through other programs that similarly offer regular group meetings in which members share their experiences and recovery skills.
  • A faith-based approach in conjunction with medication may resonate with one person, whereas someone else may prefer behavioral therapy and a different type of medication for opioid use disorder (at least three are available and effective).
  • Community is the relationships and social networks that provide support, acceptance, friendship, love, respect, and hope.

The goal, Rutherford explains, is to construct a “recovery story” built from both qualitative and quantitative data for each individual seeking support. Various HEAL-funded research projects, such as the HEALing Communities Study, partner with recovery organizations to help communities choose the most effective strategies to meet local needs and conditions. The NIH HEAL Initiative also partners with NIDA to fund research within the Consortium on Addiction Recovery Science, a nationwide effort that focuses on research network-building initiatives. Put simply, these projects will benefit communities grappling with opioid misuse and overdose and other substance use disorders by rapidly advancing research aimed at providing effective recovery support services to people who need them. Research on the science of addiction and the treatment of substance use disorders has led to the development of research-based methods that help people to stop using drugs and resume productive lives, also known as being in recovery. Recovery from addiction is not a linear process, and increasingly, relapse is seen as an opportunity for learning.

  • Many of these people run the risk ofrelapsingbecause they have not made any fundamental changes to their behavior.
  • Now she’s a homeowner, she started a small business and says life is „awesome.“
  • Researchers say these hopeful findings are significant because they might inspire people to keep attempting recovery even after they endure multiple relapses.
  • He is the author of numerous books, including From Bud to Brain and Marijuana on My Mind.
  • At every step of the way, support from friends, peers, and family is useful, but there are also many services and organizations that provide guidance., and many can be accessed through Recovery Community centers.
  • Many people desire only to moderate use and bring it under control.
  • Overdose prevention is a CDC priority that impacts families and communities.

The Difference Between Sobriety & Recovery

Recently, a new patient reached out in the support group channel, struggling in his first week of treatment, and a Recovery Coach replied via text message and voicemail to offer support. Feeling too ill to speak on the phone, the patient communicated with the coach via text. He was initially reluctant to open up, but the coach utilized skills learned in the Recovery Coach Academy, providing support and offering to “meet” the patient at the next support group meeting.

Perspectives in Primary Care

Ironically, the admitting of powerlessness permits addicts to now have a say in their future behaviors. They no longer have to give in to their drug of choice because the recovery process of having hit “rock bottom” creates new opportunities to grow in a community with other like-minded people. Addressing misperceptions, especially in marginalized communities, is crucial for improving overall treatment access.

To save lives, overdose antidote should be sold over-the-counter, advocates argue

addiction vs recovery

With repeated heavy drinking, however, tolerance develops and the ability of alcohol to produce pleasure and relieve discomfort decreases. Here, we outline a framework for understanding alcohol-induced changes in the brain, which can help you appreciate the challenges faced by many patients with AUD when they try to cut back or quit drinking. We then describe evidence-based treatments you can recommend to patients to help the brain, and the patient as a whole, to recover. Recovery starts and continues in relation to personal traits, intensity, duration, personal needs, and society. In the course of recovery, the individual’s objectives matter and this process may continue at any speed or rate and taking any approach and everyone’s own experience (4, 26, 29-31). For many with an alcohol problem, drinking a different https://r2b.ru/stati/pervoe-prjamoe-dokazatelstvo-togo-chto-reakcija.html kind of beverage can keep recovery on track.

How AI Can Help Accountants

Filed under: Bookkeeping — admin @ 12:08

AI in Accounting

The salient question is how AI is changing accounting, how AI innovation can change accounting jobs, and what accountants need to do to thrive during this digital revolution. It’s essential to choose the right accounting software to handle your needs, including sending invoices, receiving payments AI in Accounting and monitoring cash flow. Check out our reviews of the best accounting and invoice software to get started. We’ll explore the relationship between AI and accounting and share how to use AI to automate and streamline accounting while supporting skilled accountants and finance teams.

  • If organic search is part of how you market (or want to market) your accounting business, you might consider adding Surfer to your content tech stack.
  • However, it is crucial to implement robust data governance and ethical considerations when incorporating generative AI to maintain data integrity and compliance.
  • These benefits highlight how adopting AI in accounting can transform traditional accounting practices, improve efficiency, and provide valuable insights for better decision-making and financial management.
  • We’ll explore the relationship between AI and accounting and share how to use AI to automate and streamline accounting while supporting skilled accountants and finance teams.
  • John McGowan is the founder and CEO of HubSync, an SaaS company, offering a tax and accounting automation platform.

The technology is fantastic for automating tasks, discovering hidden trends and insights, and enhancing accuracy and efficiency. It can also be used to extract key information from contracts for the purposes of lease accounting or revenue recognition, for example. These articles and related content is the property of The Sage Group plc or its contractors or its licensors (“Sage”). Please do not copy, reproduce, modify, distribute or disburse without express consent from Sage. These articles and related content is provided as a general guidance for informational purposes only. These articles and related content is not a substitute for the guidance of a lawyer (and especially for questions related to GDPR), tax, or compliance professional.

Stay up to date on the latest accounting tips and training

We’ve covered actionable strategies to help you incorporate AI into your workflow. Now, let’s jump into some actual artificial intelligence tools accounting firms can use to increase productivity. Integrating AI into these systems allows users to get real-time answers to their questions. For instance, a member of the accounting team could have critical details like discount deadlines, payment schedules and possible savings at their fingertips. When deployed effectively, intuitive AI doesn’t just automate the process but also infuses intelligence and responsiveness into the workflow, enhancing both efficiency and financial decision-making.

How will AI affect accounting jobs? – Thomson Reuters Tax & Accounting

How will AI affect accounting jobs?.

Posted: Tue, 31 Oct 2023 21:35:07 GMT [source]

The automated trading platforms have enabled companies to optimize their profits margins and efficiency, allowing them to gain a competitive advantage in the market. By leveraging AI-driven analytics, organizations can gain a strategic advantage by being able to make informed decisions about their resource allocation and future strategies. If you’re interested in pursuing an accounting career, learn to address the evolving business landscape. Check out Maryville University’s online Bachelor of Science in Accounting to learn more about the program’s curriculum to see how we can help you prepare for your future in accounting. Rachel Grimes, Business Insider contributor and president of the International Federation of Accountants, urges those pursuing a career in accounting to embrace machine learning and other aspects of AI.

Next step: Start upskilling with these baseline AI skills

Such as financial accounting, auditing, managerial accounting, tax, and others, and were of different types (multiple choice, short answers, true/false) and difficulty levels. The tracking and procurement method can take up too much time for many businesses because it is filled with paperwork and using file formats that are not compatible with one another. Machines with AI capability can quickly process unstructured data to make the procurement procedure paperless and easier. The sooner a business gets its numbers, the more time it has to come up with strategies about how to utilize those figures. That allows businesses to speed up their monthly or quarterly close procedures, and gain accuracy. Only, the role of accountants is changing as it aligns itself with the new technologies.

AI in Accounting

Alternatively, if your forecasting identifies an increased demand for a particular product or service, this could indicate an opportunity for growth that you can capitalize on. AI technology enables finance professionals to focus on higher-value activities, such as strategic planning and analysis, instead of manual and transactional activities. https://www.bookstime.com/articles/bench-accounting Generative AI empowers faster and better data-driven decisions based on historical data, market trends and the use of AI foundation models that identify patterns and anomalies often missed by traditional analysis methods. Accenture also asserts that hiring changes could result from an increased role in the accounting industry’s use of AI.

Diversification for small firms key amid tech adva…

By drawing on both internal metrics—like past sales data or inventory levels—and external indicators—such as market trends or competitive analyses—intuitive AI can generate comprehensive forecasts. Rather than just crunching numbers, it understands the relationships and subtleties between these dimensions. So, when forecasting demand for a particular product in a specific region, the AI can intuitively factor in regional preferences, historical sales, and even broader market shifts. Predicting demand and revenue is often more of an art than a science, requiring both an understanding of past patterns and foresight into market dynamics. While these three competencies are a good place to start, consider joining a training program or an online course relevant for financial analysts.

  • Alternatively, if your forecasting identifies an increased demand for a particular product or service, this could indicate an opportunity for growth that you can capitalize on.
  • Labor-saving devices like the washing machine have improved our standard of living.
  • The amalgamation of AI with accountancy platforms is a pivotal stride towards redefining the profession.
  • Accountants are aware of the transformative potential of cloud technology, but how do they get there?
  • Quickbooks uses AI to automate a lot of back-office tasks, including cash flow forecasting, smart match reconciliations, and payroll.

In 2019, Sage research ran a large-scale survey of people in the accounting industry. Intelligent technology has the ability to max out efficiency and create unparalleled insights. This is shaping the world of accounting every day, and the role of accountants stands to change. There are many different AI technologies available for accounting, including machine learning, natural language processing, and robotic process automation. Accounting firms should carefully evaluate each technology and choose the one that best meets their needs and budget. The discourse surrounding AI’s integration extends beyond mere operational efficiency.

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