GPT-2 vs GPT-3: The OpenAI Showdown

Thanks to the diversity of the dataset used in the training process, we can obtain adequate text generation for text from a variety of domains. GPT-2 is 10x the parameters and 10x the data of its predecessor GPT. Originally from KDnuggets https://ift.tt/3pt4YFj source https://365datascience.weebly.com/the-best-data-science-blog-2020/gpt-2-vs-gpt-3-the-openai-showdown

Why kids should start learning AI

“AI is likely to be either the best or worst thing to happen to humanity — Stephen Hawking” Iron Man | A.I | Marvel Artificial Intelligence is the one of the most popular term in 21st century. It has carved new ways to work and progress and even learn. It has enabled computers to show some intelligence somewhat similarContinue reading “Why kids should start learning AI”

Understanding Model Training: From Hyperparameter Tuning to Result Evaluation

Photo by Mia Bruning on Unsplash Welcome back to our blog series about machine learning projects. Are you involved in planning an AI project? Then you’re in the right place. We explain all the project phases in a series of blog posts. AI projects are usually carried out in a cyclic process. In previous articles we alreadyContinue reading “Understanding Model Training: From Hyperparameter Tuning to Result Evaluation”

How AI Can Improve Your Security System

How AI Can Improve Your Security System? With traditional home security devices, the system can be programmed to trigger a predetermined response based on certain events. For example, if the system is armed, the countdown begins when the door is opened. If you fail to enter the code on the keypad in time, it alerts theContinue reading “How AI Can Improve Your Security System”

10 resources for data science self-study

Many resources exist for the self-study of data science. In our modern age of information technology, an enormous amount of free learning resources are available to anyone, and with effort and dedication, you can master the fundamentals of data science. Originally from KDnuggets https://ift.tt/3bh269d source https://365datascience.weebly.com/the-best-data-science-blog-2020/10-resources-for-data-science-self-study

Deep Learning-based Real-time Video Processing

In this article, we explore how to build a pipeline and process real-time video with Deep Learning to apply this approach to business use cases overviewed in our research. Originally from KDnuggets https://ift.tt/3jX8bf2 source https://365datascience.weebly.com/the-best-data-science-blog-2020/deep-learning-based-real-time-video-processing

KDnuggets News 21:n07 Feb 17: We Dont Need Data Scientists We Need Data Engineers; Data Science vs Business Intelligence Explained

Do we need more data engineers than data scientists? Data Science vs Business Intelligence, Explained; Telling a Great Data Story: A Visualization Decision Tree; Essential Math for Data Science: Scalars and Vectors; 7 most recommended skills for a Data Scientist. Originally from KDnuggets https://ift.tt/3b7WNZS source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-21n07-feb-17-we-dont-need-data-scientists-we-need-data-engineers-data-science-vs-business-intelligence-explained

Machine Learning for Cybersecurity Certificate at U. of Chicago

Hands-On Machine Learning Training from UChicago: 5-week remote Machine Learning for Cybersecurity certificate, Mar 30 – Apr 27. Learn from & network with leading faculty/industry leaders, learn data-driven prevention strategies. Group discounts, tuition support. Originally from KDnuggets https://ift.tt/3amvZG1 source https://365datascience.weebly.com/the-best-data-science-blog-2020/machine-learning-for-cybersecurity-certificate-at-u-of-chicago

Data Observability: Building Data Quality Monitors Using SQL

To trigger an alert when data breaks, data teams can leverage a tried and true tactic from our friends in software engineering: monitoring and observability. In this article, we walk through how you can create your own data quality monitors for freshness and distribution from scratch using SQL. Originally from KDnuggets https://ift.tt/3u161Qe source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-observability-building-data-quality-monitors-using-sql

Why Feature Store Is the Future For AI

Every project in data science begins with discovering the correct features. The issue is that there is not a unique, centralized place to browse for the most part; features are hosted everywhere. First and foremost, therefore, a feature store offers a single glass pane to share all the features available. When a new project isContinue reading “Why Feature Store Is the Future For AI”

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