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How to get datasets for Machine Learning?

Knowledge Hut

can help users to get started with Machine Learning. Open Dataset Finders To solve any problem in data science, be it in the field of Machine Learning, Deep Learning, or Artificial Intelligence , one needs a dataset that can be input into the model to derive insights. A technology has no significance without data.

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Highest Paying Data Science Jobs in the World

Knowledge Hut

They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually. It may go as high as $211,000! Additionally, they possess strong communication skills.

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Data Science in FinTech: Roles, Use Cases, and Benefits

Knowledge Hut

FinTech refers to a set of technologies that focus on new ways of providing banking and financial services to consumers. When you use PayPal, Google Pay, or your credit card to pay online, you, the consumer, the e-commerce company, as well as the bank are all using FinTech to complete the transaction.

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Full stack Data Science Explained

Knowledge Hut

Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation.

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10 Unique Business Intelligence Projects with Source Code 2023

ProjectPro

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.

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15 Popular Machine Learning Frameworks for Model Training

ProjectPro

TensorFlow It has a collection of pre-trained models and is one of the most popular machine learning frameworks that help engineers, deep neural scientists to create deep learning algorithms and models. MXNet MXNet is a choice of all Deep Learning developers. Keras fails to handle low-level computation.

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Cyber Security vs Data Science: Key Difference & Similarities

Knowledge Hut

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Data science professionals are in high demand in areas such as banking, healthcare, and e-commerce. Companies in technology, banking, healthcare, and e-commerce.