Smart Data Collective

FEBRUARY 21, 2020

Data has the power to shape not only financial decisions (like how and when to invest in stock) but the types of financial products that are available to consumers. So how, exactly, has big data changed the financial industry, and what can we expect moving forward? Product Diversity and Availability. Reduced Manual Procedures.

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Big Data Big Data Algorithm Machine Learning 144

Dataconomy

JULY 14, 2023

This evolution is currently taking a new turn with the introduction of AI tools and big data analytics to the niche. It’s just a matter of time until AI and big data analytics will be used all over, for each new influencer marketing campaign by every brand. It’s good that a lot of them can be delegated to AI.

Big Data Analytics 172

Big Data Analytics Big Data Analytics Big Data Big Data 172

Smart Data Collective

DECEMBER 1, 2022

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.

Big Data 145

Big Data Big Data Natural Language Processing Artificial Intelligence 145

Pickl AI

APRIL 21, 2025

Summary: Big Data refers to the vast volumes of structured and unstructured data generated at high speed, requiring specialized tools for storage and processing. Data Science, on the other hand, uses scientific methods and algorithms to analyses this data, extract insights, and inform decisions.

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Big Data Big Data Data Science Machine Learning 52

Smart Data Collective

MARCH 8, 2021

The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data. And I do not mean large amounts of information per se, but rather data that is processed at high speed and has a strong variability.

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Big Data Big Data Predictive Analytics Data Analysis 143

Dataconomy

FEBRUARY 16, 2016

Highly effective data analysis isn’t learned overnight, but it can be learned faster. Here are 7 habits of data analysis I wish someone told me for effectively incorporating, communicating and investing in data analysis geared towards an engineering team.

Data Analysis 132

Data Analysis Data Analysis Algorithm Big Data 132

Smart Data Collective

FEBRUARY 3, 2021

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 However, the impact of big data on the stock market is likely to be even greater. What Impact Is Big Data Having Towards Investing?

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Big Data Analytics Big Data Analytics Big Data Big Data 140

Smart Data Collective

SEPTEMBER 2, 2021

Hacker Moon published an article talking about the ways that AI and big data are changing the future of the video production industry. This has made big data accessible to more and more industries. A number of online video production companies are embracing similar big data and machine learning technology.

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Big Data Big Data Data Analysis Data Analysis 132

Smart Data Collective

JULY 12, 2021

Big data technology keeps reshaping the business landscape and companies have started realizing the importance of using data and analytics in their decision-making processes. While small and medium businesses have yet to adapt to the concept, large businesses invest significantly in data. billion last year.

Big Data 137

Big Data Big Data Predictive Analytics Analytics 137

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

Big Data Analytics 122

Big Data Analytics Big Data Analytics Big Data Big Data 122

Dataconomy

OCTOBER 4, 2023

The online casino market has witnessed profound changes in the last few years, thanks to the increased accessibility of innovative technologies like big data and artificial intelligence. This article looks at how artificial intelligence and big data can help players improve their chances in real money casinos online.

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Big Data Big Data Big Data Analytics Big Data Analytics 121

Smart Data Collective

MARCH 18, 2020

We have written extensively about the benefits of big data in marketing. Louis Columbus wrote a great article in Forbes about 10 ways big data is changing the marketing sector. The business services sector is expected to spend over $77 billion on big data in the near future.

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Big Data Big Data Analytics Analytics 125

Data Science Dojo

AUGUST 27, 2024

Libraries and Tools: Libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Tableau are like specialized tools for data analysis, visualization, and machine learning. Data Cleaning and Preprocessing Before analyzing data, it often needs a cleanup. Normalization: Making data consistent and comparable.

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Data Scientist Data Science Machine Learning Machine Learning 273

Smart Data Collective

DECEMBER 14, 2020

This has driven many companies to find more innovative ecommerce marketing models that rely on big data. However, thankfully, technological tools can make a big difference in this arena. Using big data and analytics, retailers can more easily optimize their supply chains. However, big data can assist.

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Big Data Big Data Analytics Analytics 111

Dataconomy

MARCH 11, 2025

The concept of a target function is an essential building block in the realm of machine learning, influencing how algorithms interpret data and make predictions. By serving as a guide, the target function enables AI systems to forecast outcomes based on training data. Input (I): The data fed into the algorithm for analysis.

Machine Learning 91

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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.

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Big Data Big Data Algorithm Data Analysis 98

Smart Data Collective

JULY 1, 2019

Big data is rewriting the playbook for the criminal justice system. Oxford Research Encyclopedias has talked about some of the ways that criminal justice professionals are utilizing big data. Two significant applications really stand out the most: Big data is used extensively in criminal justice research.

Big Data 101

Big Data Big Data Predictive Analytics Artificial Intelligence 101

Pickl AI

FEBRUARY 23, 2025

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

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Big Data Big Data Apache Hadoop Apache Kafka 52

Smart Data Collective

FEBRUARY 9, 2022

Using the DirectX analytics interface can enable you to pick out important trading insights and points, which simplifies algorithmic trading. For example, when your trading algorithm makes losses or a particular threshold or condition is met. Helps in the design of simple geometric shapes for visual data analysis.

Analytics 145

Analytics Algorithm Analytics Data Analysis 145

Data Science Dojo

SEPTEMBER 12, 2024

AI marketing refers to the use of artificial intelligence technologies to make automated decisions based on data collection, data analysis, and additional observations of audience or economic trends. Big Data Big data allows marketers to aggregate and segment large sets of data with minimal manual work.

AI 195

AI Predictive Analytics AI Big Data 195

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. Key Areas of Study Key areas of study within computer science include: Algorithms : Procedures or formulas for solving problems. Data Structures : Ways to organize, manage, and store data efficiently.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. Key Areas of Study Key areas of study within computer science include: Algorithms : Procedures or formulas for solving problems. Data Structures : Ways to organize, manage, and store data efficiently.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Analytics Vidhya

FEBRUARY 10, 2024

Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya. And why should one consider specializing in it? This blog post aims to answer these questions and more.

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Smart Data Collective

OCTOBER 8, 2021

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Genetic algorithm use case. As well as bolster investor confidence and improve profitability. Final thoughts.

Machine Learning 132

Machine Learning Machine Learning Algorithm ML 132

Dataconomy

MARCH 1, 2024

The startup aims to challenge industry giants like Penguin Random House by claiming a higher success rate with its algorithmic selection process. It focuses on the long tail of undiscovered talent and caters to preferences gleaned through data analysis. This makes them a unique force in an increasingly competitive market.

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Data Science Dojo

AUGUST 27, 2024

It’s like the detective’s toolkit, providing the tools to analyze and interpret data. Think of it as the ability to read between the lines of the data and uncover hidden patterns. Data Analysis and Interpretation: Data scientists use statistics to understand what the data is telling them.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Pickl AI

JUNE 5, 2025

This method uses distance metrics and linkage criteria to build dendrograms, revealing data structure. While computationally intensive, it excels in interpretability and diverse applications, with practical implementations available in Python for exploratory data analysis.

Clustering 52

Clustering Machine Learning Machine Learning Exploratory Data Analysis 52

Data Science Dojo

JUNE 7, 2023

Big data and data science in the digital age The digital age has resulted in the generation of enormous amounts of data daily, ranging from social media interactions to online shopping habits. quintillion bytes of data are created. What is data science? It is estimated that every day, 2.5

Data Science 195

Data Science Data Visualization Data Scientist Machine Learning 195

Dataconomy

APRIL 8, 2025

By employing various methodologies, analysts uncover hidden patterns, predict outcomes, and support data-driven decision-making. Understanding these techniques can enhance a data scientist’s toolkit, making it easier to navigate the complexities of big data. What are data science techniques?

Data Science 91

Data Science Support Vector Machines Data Scientist Data Visualization 91

Dataversity

DECEMBER 16, 2020

Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. The post Understanding GPUs for Deep Learning appeared first on DATAVERSITY.

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Deep Learning Deep Learning Natural Language Processing Big Data 98

Data Science Dojo

OCTOBER 4, 2024

Their work involves designing experiments to test computing theories, developing new computing languages, and creating algorithms to improve software and hardware performance. Mathematical Aptitude: Proficiency in advanced mathematics, including calculus and discrete mathematics, which are essential for developing algorithms and models.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

Dataconomy

FEBRUARY 13, 2025

Rather than a standard magnified optic, these scopes integrate AI-based algorithms to calculate ballistic trajectories , wind corrections, and elevation adjustments on the fly. Drones, sensors, and Big Data tracking Hunting is more than the moment of the shot. This is where drones and sensor networks enter the picture.

AI 121

AI AI Big Data Big Data 121

Pickl AI

NOVEMBER 4, 2024

This article will guide you through effective strategies to learn Python for Data Science, covering essential resources, libraries, and practical applications to kickstart your journey in this thriving field. Key Takeaways Python’s simplicity makes it ideal for Data Analysis. in 2022, according to the PYPL Index.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Analytics Vidhya

MAY 17, 2023

By leveraging a machine learning algorithm and an importance-ranking metric, RFE evaluates each feature’s impact […] The post Recursive Feature Elimination: Working, Advantages & Examples appeared first on Analytics Vidhya.

Machine Learning 277

Machine Learning Machine Learning Algorithm Analytics 277

Women in Big Data

JUNE 6, 2025

The hackathon presented the perfect balance of challenge and engagement, allowing us to implement Python programming skills across the entire data science pipeline – from initial data cleaning and processing through exploratory data analysis to advanced machine learning model development and optimization.

Machine Learning 52

Machine Learning Machine Learning Exploratory Data Analysis Data Science 52

Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. Why is Data Integration a Challenge for Enterprises?

ML 133

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Pickl AI

SEPTEMBER 13, 2024

Summary: This blog examines the role of AI and Big Data Analytics in managing pandemics. It covers early detection, data-driven decision-making, healthcare responses, public health communication, and case studies from COVID-19, Ebola, and Zika outbreaks, highlighting emerging technologies and ethical considerations.

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Big Data Analytics Big Data Analytics Big Data Big Data 52