19 Result(s)
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Data Mining and Knowledge Discovery
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A Quick Solution - MLaaS
This video introduces you to the recent innovation in the field of data science and that is ML as a Service, followed by a quick introduction to the instructor and how he is perfectly poised to deliver this co...
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Do It Yourself
This video tells you how your approach of classical ML development depends on your data size and type.
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Less Efforts with ANN
This video describes fully what all you need in building your own ANN network.
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Clustering
This video will show you why clustering is the most daunting task for a data scientist and provides guidelines on how to cluster small to enormously sized datasets, with the help of an organized list of severa...
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Modern Data Scientist’s Challenges
This video introduces you to the recent innovation in the field of data science and that is ML as a Service, followed by a quick introduction to the instructor and how he is perfectly poised to deliver this co...
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Keep Your Data on-Premise
This video segment describes the use of automated tools to perform entire ML development on premise. You will find the list of major providers in this space and the pros and cons of using the AutoML service.
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Get Best Out of GOFAI
This video gives you the best practices in all stages of classical ML development.
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Transfer Learning
This video teaches you what is transfer learning and describes several pre-trained models available for text and image datasets.
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Ultimate Guidelines
This video presents a consolidated cheatsheet of all the processes in data science and will surely help you in deciding upon your approach in your next data science project.
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Introduction to Analytic Data
This video segment introduces analytic data and the goals of this video series.
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Assigning Business Goals and Meaning to Data
This video segment talks about the critical need to assign business meaning to data prior to architecting and implementing it.
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Optimizing Data Load Processes
This video segment delves into ETL and the processes needed to efficiently move data from a transactional source to an analytic destination.
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ETL, Validation, and Analyzing Data Sources
This video segment discusses the need to analyze, understand, and validate data sources to ensure high data quality.
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Scaling Analytic Data
This video segment talks about scalability and tactics towards allowing data to scale with time as its size and usage grows.
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Conclusion
This video segment summarizes this video series and recaps the key topics from each segment.
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OLAP vs. OLTP - How Do They Differ
This video segment discusses the differences between OLAP and OLTP and when each should be used.
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Classifying Data - Dimensions vs. Facts
This video segment contrasts facts from dimensions and how each is important in analytics.
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Indexing - B-Tree Versus Columnstore Indexes
This video segment introduces columnstore indexes and how they can allow OLAP data to scale to far greater sizes than traditional indexing solutions can.
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Caching Challenging Metrics for Quick Retrieval
This video segment walks through the staging of complex data alongside data load processes to improve the speed and availability of analytics.
