10 Amazing Machine Learning Projects of 2020

So much progress in AI and machine learning happened in 2020, especially in the areas of AI-generating creativity and low-to-no-code frameworks. Check out these trending and popular machine learning projects released last year, and let them inspire your work throughout 2021. Originally from KDnuggets https://ift.tt/3bNXbyn source https://365datascience.weebly.com/the-best-data-science-blog-2020/10-amazing-machine-learning-projects-of-2020

Top Stories Mar 8-14: How To Overcome The Fear of Math and Learn Math For Data Science

Also: Know your data much faster with the new Sweetviz Python library; Must Know for Data Scientists and Data Analysts: Causal Design Patterns; Are You Still Using Pandas to Process Big Data in 2021? Here are two better options; 3 Mathematical Laws Data Scientists Need To Know Originally from KDnuggets https://ift.tt/3vrfuAT source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-mar-8-14-how-to-overcome-the-fear-of-math-and-learn-math-for-data-science

AI Industry Innovation: Making the Invisible Visible

AI Accelerator Festival: Hardware Acceleration for AI at the Edge . The world’s only end-user led event dedicated to accelerating industries by harnessing the power of AI. March 16-19, 2021. Originally from KDnuggets https://ift.tt/30KbEVn source https://365datascience.weebly.com/the-best-data-science-blog-2020/ai-industry-innovation-making-the-invisible-visible

Kedro-Airflow: Orchestrating Kedro Pipelines with Airflow

The Kedro team and Astronomer have released Kedro-Airflow 0.4.0 to help you develop modular, maintainable & reproducible code with orchestration superpowers! Originally from KDnuggets https://ift.tt/3qH8oVp source https://365datascience.weebly.com/the-best-data-science-blog-2020/kedro-airflow-orchestrating-kedro-pipelines-with-airflow

How Artificial Intelligence Is Helping Enhance Usability of Websites?

Over the past decade, Artificial Intelligence (AI) has found its applications in many different fields. Businesses are increasingly adopting AI for their growth and rightly so as its benefits are evident from the results seen by these businesses. Recent studies have shown that more than 90% of leading businesses have ongoing investments in AI . OneContinue reading “How Artificial Intelligence Is Helping Enhance Usability of Websites?”

FlexibilityKey Advantage in Data Annotation Market

Flexibility — Key Advantage in Data Annotation Market Data Annotation Market Size The global data annotation market was valued at US$ 695.5 million in 2019 and is projected to reach US$ 6.45 billion by 2027, according to Research And Markets’s report. Expected to grow at a CAGR of 32.54% from 2020 to 2027, the booming data annotation marketContinue reading “FlexibilityKey Advantage in Data Annotation Market”

Synthetic Data: a primer for a non-technical audience

Synthetic Data for starters: all you need to know Why Synthetic Data are extremely powerful for AI startups Introduction Imagine you want to make unrecognisable some photos from an album. The most immediate solution would be to obscure people’s faces, and make them “anonymous”. In today’s reality, this solution doesn’t work. Suppose someone wants to re-identify the facesContinue reading “Synthetic Data: a primer for a non-technical audience”

Must Know for Data Scientists and Data Analysts: Causal Design Patterns

Industry is a prime setting for observational causal inference, but many companies are blind to causal measurement beyond A/B tests. This formula-free primer illustrates analysis design patterns for measuring causal effects from observational data. Originally from KDnuggets https://ift.tt/3ctZvJI source https://365datascience.weebly.com/the-best-data-science-blog-2020/must-know-for-data-scientists-and-data-analysts-causal-design-patterns

Know your data much faster with the new Sweetviz Python library

One of the latest exploratory data analysis libraries is a new open-source Python library called Sweetviz, for just the purposes of finding out data types, missing information, distribution of values, correlations, etc. Find out more about the library and how to use it here. Originally from KDnuggets https://ift.tt/3qGYa7m source https://365datascience.weebly.com/the-best-data-science-blog-2020/know-your-data-much-faster-with-the-new-sweetviz-python-library

Design a site like this with WordPress.com
Get started