Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Trading in the 21st century has evolved exponentially since its commencement. Meanwhile, modern computing technology has developed faster, sustainable, stress-free automated trading systems by orienting machine learning […].

Machine Learning 218

Machine Learning Data Science Publishing Technology 218

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Likewise, the trading world is also moving forward to the appliance of algorithms to improve the occurrence and drive objectivity […]. The post How to Ensure you don’t have Bias in your Trading Robot AI Algorithms?

Machine Learning 236

Machine Learning Data Science Publishing Analytics 236

Analytics Vidhya

JULY 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction “There is a saying ‘A jack of all trades and. The post An Intuitive Way to Understand Gradient Descent with Some Python Code appeared first on Analytics Vidhya.

Data Science 305

Data Science Publishing Analytics Machine Learning 305

Analytics Vidhya

MARCH 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Source-Pixabay The Trade-off is when you choose to accept less. The post Intuitive Understanding of Bias and Variance Trade-Off ?? appeared first on Analytics Vidhya.

Data Science 187

Data Science Publishing Analytics Machine Learning 187

CIO Business Intelligence

FEBRUARY 15, 2024

We took it seriously and said we need to have software, data, and AI capabilities,” says Nilles, who signed on to the CDIO role at the time. “We But to achieve Henkel’s digital vision, Nilles would need to attract data scientists, data engineers, and AI experts to an industry they might not otherwise have their eye on.

B2B 138

B2B Optimization Machine Learning Software 138

Smart Data Collective

JULY 16, 2023

Big data technology has undoubtedly changed the financial industry in extraordinary ways. We usually talk about the benefits of big data from the perspective of financial institutions such as hedge fund managers, insurance companies and banks. It will play an even more important role in the future.

Big Data 76

Big Data Marketing Strategy Insurance 76

KDnuggets

AUGUST 31, 2022

The Complete Data Science Study Roadmap • 7 Techniques to Handle Imbalanced Data • 3 Ways to Append Rows to Pandas DataFrames • The Bias-Variance Trade-off • How to Package and Distribute Machine Learning Models with MLFlow.

Data Science 104

Data Science Machine Learning Modeling 104

O'Reilly on Data

JUNE 15, 2023

All of these efforts reflect the general consensus that regulations should address issues like data privacy and ownership, bias and fairness, transparency, accountability, and standards. Companies cite user privacy concerns, trade secrets, the complexity of the system, and various other reasons for limiting disclosures.

Metrics 284

Metrics Reporting Measurement Finance 284

Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

Smart Data Collective

APRIL 3, 2022

One of the ways to make money through the use of AI technology is with algorithmic trading. What is algorithmic trading? One such avenue for making money is algorithmic trading. You probably already know all about trading, which is the activity of generating profits by making use of price movements of financial instruments.

Technology 95

Technology Cost-Benefit ROI Strategy 95

Smart Data Collective

SEPTEMBER 14, 2022

One of the best is the promise of taking advantage of high-frequency trading. There are a lot of great AI tools that help traders engage in high-frequency trading. AI Technology Makes High Frequency Trading Possible. In the beginning of the 2010s, it accounted for more than 70% of all equity trades in the US alone.

Marketing 80

Marketing Testing Data-driven Machine Learning 80

Smart Data Collective

MAY 10, 2022

In the modern sense, it’s a broad subfield of computer science concerned with building machines exhibiting intelligence similar to that of humans. Banks, payment and trading apps, middleman lenders, and the likes deal with unprecedented fraud daily. The US Federal Trade Commission said consumers lost $5.8

Marketing 110

Marketing Technology Insurance Machine Learning 110

The Data Visualisation Catalogue

FEBRUARY 2, 2024

Essentially, this is a visual enhancement to a graph, which offers more detail and context to data changing over time. In investing and trading, there’s a variation of Area Bands, known as Bollinger Bands , which can be applied to OHLC Chart and Candlestick Charts.

Snapshot 84

Snapshot Visualization Marketing Reporting 84

Smart Data Collective

APRIL 13, 2020

Big data is becoming an integral part of the financial sector. Large financial brands are seemingly the biggest investors in big data. However, smaller investors and solopreneurs are likely to make big data a focus in the coming years as well. Day traders, in particular, are placing more emphasis on big data technology.

Big Data 101

Big Data Marketing Machine Learning Strategy 101

DataCamp

MAY 29, 2020

As artificial intelligence, machine learning, and data science are fundamentally changing the world, we need to investigate how they’re impacting finance and algorithmic trading, particularly at a time when markets are so vulnerable and volatile.

Finance 110

Finance Machine Learning Data Science Marketing 110

Smart Data Collective

JANUARY 27, 2021

In this circumstance, the price will continue to decrease at a faster pace, which creates more cryptocurrency trading opportunities. There are many reasons big data has affected cryptocurrencies. In the early days of cryptocurrency trading, investors had a proclivity for relying on traditional fundamental analysis for asset valuation.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

CIO Business Intelligence

JUNE 5, 2023

The firms’ trade compliance teams must not only engage with all these processes but ensure they are aligned with ever-increasing regulations, which can differ notably from country to country. Merck Life Sciences, a leading chemical and pharmaceutical company, with 60,000 employees working across 66 countries, was one of them.

Unstructured Data 98

Unstructured Data Sales Digital Transformation Strategy 98

CIO Business Intelligence

APRIL 5, 2024

The announcement came at the end of a meeting of the EU-US Trade and Technology Council in Leuven, Belgium, on Friday, and followed this week’s broadly similar pact between the US and UK on AI safety.

Risk 130

Risk Testing Consulting Machine Learning 130

CIO Business Intelligence

AUGUST 11, 2023

But the area I want to focus on is the unintended consequences of public cloud adoption that created wave after wave of data loss and exposure. You see, unlike IaaS where organizations hold encryption keys, AIaaS, by default, is learning from your data. Everything from privacy of customer data to intellectual property is at risk.

IT 98

IT Data Processing Risk Strategy 98

Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

Data Science 91

Data Science Statistics Data-driven Machine Learning 91

Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Definition: Data Mining vs Data Science.

Data mining 143

Data mining Data Science Informatics Statistics 143

CIO Business Intelligence

NOVEMBER 29, 2023

In SuperWorld , you can purchase, sell, and trade virtual blocks of land that owners can customize. Persistence : Persistence maintains the state of virtual assets, spaces, and data when users log out or leave the environment. Want to own a park, a museum, or your hometown? Consider creating a virtual team to explore use cases.

Interactive 105

Interactive Recreation/Entertainment Enterprise Advertising 105

Smart Data Collective

OCTOBER 23, 2021

And that is mainly due to the availability of trading profits that has driven a HUGE population to take interest in it. Many people would like to increase their wealth by helping mine bitcoin and other cryptocurrencies, as well as to help them make more profitable cryptocurrency trading decisions.

Machine Learning 133

Machine Learning Cost-Benefit Technology Forecasting 133

Smart Data Collective

JUNE 24, 2022

Data analytics has led to some major changes in the field of finance. Financial institutions invest heavily in big data technology in order to offer the highest ROI to their clients. However, individuals are also using big data to improve their own financial strategies. For example, 21 divided by 34 equals 0.618, or 61.8%.

Data Analytics 98

Data Analytics Analytics Big Data ROI 98

O'Reilly on Data

NOVEMBER 29, 2022

For years, malicious computer worms and viruses were the stuff of science fiction. Ron Wyden (D-Oregon) introduced a bill requiring “companies to assess the algorithms that process consumer data to examine their impact on accuracy, fairness, bias, discrimination, privacy, and security.” The blueprint is an unenforceable document.

Machine Learning 278

Machine Learning Recreation/Entertainment Risk Testing 278

CIO Business Intelligence

APRIL 23, 2024

AI stands to be the next revolutionary advancement because it has the ability to learn and far surpass human intelligence, enabling it to analyze data more deeply and generate insights that would be impossible for humans alone. Technology as a job creator One change we already see unfolding is how we consume data.

Uncertainty 111

Uncertainty Enterprise Technology Manufacturing 111

Smart Data Collective

OCTOBER 16, 2023

This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. The influence of Big Data on business is enormous. Where does big data come from?

Big Data 102

Big Data IoT Cost-Benefit Advertising 102

Cloudera

OCTOBER 31, 2023

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. They released a blog this year with the results from their annual data mining, it includes the top 3 candies purchased for each state and the quantity purchased in pounds.

Data mining 77

Data mining Machine Learning Data Science Sales 77

Smart Data Collective

MAY 23, 2021

Using data science and artificial intelligence can be useful for this type of growth. Rodrigo Liang is CEO of SambaNova, which provides both hardware and software to businesses for the purpose of analyzing data. Data science. Data science can be used to spot trends and patterns in your business.

Data Science 99

Data Science Cost-Benefit Statistics Predictive Modeling 99

Jet Global

SEPTEMBER 3, 2020

Transfer pricing is how subsidiaries within a group trade with each other, and the price at which that trade takes place. The price at which cross border subsidiaries trade impacts the distribution of profit across those jurisdictions, and therefore the tax which is payable in the jurisdiction where each subsidiary is based.

Cost-Benefit 78

Cost-Benefit Data Science Modeling Strategy 78

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. It can provide a complete solution for data exploration, data analysis, data visualization, viz applications, and model deployment at scale.

Testing 75

Testing Data Processing Visualization Data Science 75

O'Reilly on Data

JANUARY 22, 2019

At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. Ever since then, economists have endeavored to make their discipline into a science like physics. An exploration of three types of errors inherent in all financial models.

Modeling 134

Modeling Finance Uncertainty Data mining 134

Sisense

JULY 29, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. We’ll see how.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

CIO Business Intelligence

OCTOBER 4, 2023

At the lowest layer is the infrastructure, made up of databases and data lakes. User data is also housed in this layer, including profile, behavior, transactions, and risk. Data that unlocks value at both ends is key. These applications live on innumerable servers, yet some technology is hosted in the public cloud.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

IBM Big Data Hub

JANUARY 5, 2024

Derived from the Greek words for “hidden writing,” cryptography is the science of obscuring transmitted information so that only the intended recipient can interpret it. Since the days of antiquity, the practice of sending secret messages has been common across almost all major civilizations.

Consulting 99

Consulting Technology Risk Publishing 99

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

DataRobot Blog

MAY 23, 2022

This use case can reduce wait times to spur economic trade, as well as ensure enough personnel are on hand to screen for illegal goods and criminal activity. Department of Transportation Data. Example of border transport data from USDOT. The database contains entry data from Mexico to the U.S. Canada and U.S.-Mexico

Forecasting 59

Forecasting Statistics Machine Learning Modeling 59