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Top Data science blogs to follow

Apiumhub

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. The site covers a wide array of data science topics regarding analytics, technology, tools, data visualization, code, and job opportunities. Posts include videos, podcasts, and superbly written articles.

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How to Choose a Data Science and AI Consulting Company

Altexsoft

Customer-facing applications powered by machine learning algorithms solve your customers’ problems. Business analytics: business intelligence and statistical analytics. Business analytics (BA) is the exploration of data through statistical and operations analysis. Client analysis.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Here’s also a video for an overview of demand forecasting and predictive analytics.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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Analyst One Announces Top Analytical Technologies List

CTOvision

H2O is the open source math & machine learning platform for speed and scale. Alpine has simplified popular machine-learning methods and made them available on petabyte-scale datasets. DECISIVE ANALYTICS Corporation (DAC) is engaged by commercial and government clients to solve their most complex analytical problems.

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Building a Beautiful Data Lakehouse

CIO

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. Learn more at [link]. .

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Analytics Engineer: Job Description, Skills, and Responsibilities

Altexsoft

For more detailed information on data science team roles, check our video. What is an analytics engineer? An analytics engineer is a modern data team member that is responsible for modeling data to provide clean, accurate datasets so that different users within the company can work with them.