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Starting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers. Concepts like hidden layers, convolutional neural networks, backpropagation. The post Getting into Deep Learning? Here are 5 Things you Should Absolutely Know appeared first on Analytics Vidhya.
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.
Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Data Science 101.
It doesn’t matter what the project or desired outcome is, better data science workflows produce superior results. But if you’re still working with outdated methods, you need to look for ways to fully optimize your approach as you move forward. 5 Tips for Better Data Science Workflows. Data science is a complex field that requires experience, skill, patience, and systematic decision-making in order to be successful.
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Emily Glassberg Sands is the Head of Data Science at Coursera. This is a nice talk about how Coursera uses data science to improve the scale of teaching and learning. This talk was delivered at Women in Data Science 2020. The post Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale appeared first on Data Science 101.
Emily Glassberg Sands is the Head of Data Science at Coursera. This is a nice talk about how Coursera uses data science to improve the scale of teaching and learning. This talk was delivered at Women in Data Science 2020. The post Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale appeared first on Data Science 101.
Big data has opened up a can of worms when it comes to online privacy. A poll cited by Broadband Now shows that 95% of Americans are concerned about their online privacy, but only 50% are taking action to safeguard it. This has opened up discussions about the benefits of online proxies. Concerns about online privacy have peaked this week. A bipartisan bill by Senators Dianne Feinstein and Linsey Graham would require online platforms to make messages unencrypted.
Introduction spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP. The post spaCy Tutorial to Learn and Master Natural Language Processing (NLP) appeared first on Analytics Vidhya.
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Fire safety technology is changing in interesting ways. Worcester Polytechnic Institute has the only graduate fire protection engineering program in the United States. Professors at this school have said that big data is becoming more integral to the fire protection field. Big Data Finds New Applications in Fire Safety. Data analytics is a pretty hot topic right now.
Pivot tables – the Swiss Army Knife of data analysis I love how quickly I can analyze data using pivot tables. With one click. The post Here’s How to Build a Pivot Table using Pandas in Python appeared first on Analytics Vidhya.
You’ve heard about how AI and machine learning are transforming businesses across industries and around the world, but you don’t know how they’ve done it or even where to start. Figuring out the right problems to solve with machine learning can be a daunting exercise. Where are the good opportunities to leverage AI within your organization? What problems are best solved with AI?
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Ryan Swanstrom.
Introduction to Random Forest What’s the first image that comes to your mind when you think about Random Forest? It conjures up images of. The post A Beginner’s Guide to Random Forest Hyperparameter Tuning appeared first on Analytics Vidhya.
For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields.
In a spirit of sharing and transparency, in this post we’ll share the policy that we have adopted at Alation in approaching work during this Coronavirus outbreak. We announced this policy to our employees on Friday, March 6, 2020. It was the time when they loved each other best, without hurry or excess, when both […]. The post Work in the time of Coronavirus appeared first on Alation.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Now that we've seen earnings from all of the tier-one infrastructure players, hosts Steve McDowell & Matt Kimball talk about what the flat-to-down quarter means to the overall enterprise infrastructure market. There are earnings from Dell Technologies, Hewlett Packard Enterprise, Vmware, as well as other recent earnings announcements, that give us color.
Introduction For loops are the antithesis of efficient programming. They’re still necessary and are the first conditional loops taught to Python beginners but in. The post What are Lambda Functions? A Quick Guide to Lambda Functions in Python appeared first on Analytics Vidhya.
Has coronavirus impacted your conference or other travel plans, and do you anticipate it causing further professional or educational disruption in the near future? Take part in the new KDnuggets poll and have your say.
Our goal is to use visual grounding to improve unsupervised word mapping between languages. The key idea is to establish a common visual representation between two languages by learning embeddings from unpaired instructional videos narrated in the native language.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Introduction TensorFlow is a popular and leading open-source framework for developing machine learning and deep learning applications. Developed and pioneered by Google, TensorFlow is. The post Top Highlights from TensorFlow Dev Summit 2020! appeared first on Analytics Vidhya.
I train a series of Machine Learning models using the iris dataset, construct synthetic data from the extreme points within the data and test a number of Machine Learning models in order to draw the decision boundaries from which the models make predictions in a 2D space, which is useful for illustrative purposes and understanding on how different Machine Learning models make predictions.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.
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