Tag: Data

iFind Data Recovery Enterprise 9.6.1 Multilingual


Free Download iFind Data Recovery Enterprise 9.6.1 Multilingual Fast Links | 10.8 Mb
iFinD Data Recovery is a pretty straightforward application designed to help retrieve data lost in a variety of scenarios. Whether dealing with files you have deleted by accident or formatted partitions, this utility should get the job done.

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Using AI to Improve Ops for Your Data Organization


Free Download Using AI to Improve Ops for Your Data Organization
Released 8/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 1m | Size: 124 MB
Amid the ever-evolving data landscape, organizations strive for operational efficiency and peak performance. However, managing intricate data ecosystems can present challenges in maintaining uptime, resolving issues promptly, and optimizing processes. Enter artificial intelligence-a game-changing solution poised to reshape data management practices and set new benchmarks. In this course, Priya Mohan helps you gain a solid understanding of machine learning fundamentals and practical skills to apply AI strategies effectively. Check out this course so you can confidently deploy AI-powered solutions to optimize data operations, reduce downtime, and enhance overall performance.

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Python Data Analytics From Notebooks to Production


Free Download Python Data Analytics From Notebooks to Production
Released 8/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 58m | Size: 139 MB
Your code needs to run in production, which has its own set of challenges and restrictions. In this course, instructor Miki Tebeka shows you how to convert your research notebook to production ready code. Learn about the needs of production, where notebooks can really help you, and where they might fall short. Explore why you should organize your code and how to write clean API for your modules, as well as how to structure your code with sub modules. Find out why testing your code is important and go over useful techniques and best practices. Plus, dive into dependency management, logging and metrics, performance tuning, securing your code, and more.

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Probability Foundations for Data Science


Free Download Probability Foundations for Data Science
Released 8/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 4h 51m | Size: 450 MB
A solid understanding of mathematics, especially probability, is crucial for successful data science endeavors. This course covers the essentials of probability with clear explanations, common equations, simple examples, and real-life applications. First, a review of the basics, like random variables, are covered along with the core distribution types: discrete, continuous, cumulative, and joint. Then, expectation and variance are explored, including conditional expectation, standard deviation, covariance, and correlation. Next, several standard discrete distributions and continuous distributions are detailed, followed by popular limit theorems and approximations. After that, Bayesian probability is explored, including how it differs from frequentist probability. Finally, a few common estimation methods are covered. Join Megan Silvey as she takes you through each section, imparting her expertise to you.

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Data-Informed Strategic Thinking for Senior Analysts and Data Scientists


Free Download Data-Informed Strategic Thinking for Senior Analysts and Data Scientists
Released: 08/2024
Duration: 2h 56m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 352 MB
Level: Advanced | Genre: eLearning | Language: English
For data scientists, connecting your work to a firm’s business strategy can often be difficult both in terms of the business language used by leaders and the analytical tools (and simple explanations) needed to guide their thinking. In this course, learn how to frame analytical results using strategy language so you can better connect your key outputs with the important needs of a firm’s strategic thinkers and decision-makers. Dr. Paul Thurman shows you how to collaborate with business leaders to present data analytic solutions in non-scientific, business-oriented language. Learn what “strategy” means and the role data science plays, discover how to analyze a market and strategy to assess a firm’s competitiveness, and put a market-tested strategy into effect with the three-pronged thinking framework of conceptual, analytical, and operational strategy.

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