Deconstructing Deepfakes

For our February AI Ethics Twitter Chat, we invited expert guest, Dr. Brandie Nonnecke, Founding Director, Citris Policy Lab at UC Berkeley to discuss “Deconstructing Deepfakes”. Source Mia Dand: Dr. Nonnecke, Let’s start off with the basics, what are deepfakes? Dr. Brandie Nonnecke: “Deepfakes” are deceptive audio or visual media created with AI to depictContinue reading “Deconstructing Deepfakes”

TensorFlow Dev Summit 2020: Top 10 Tricks for TensorFlow and Google Colab Users

In this piece, we’ll highlight some of the tips and tricks mentioned during this year’s TF summit. Specifically, these tips will help you in getting the best out of Google’s Colab. Originally from KDnuggets https://ift.tt/39Q29WV source https://365datascience.weebly.com/the-best-data-science-blog-2020/tensorflow-dev-summit-2020-top-10-tricks-for-tensorflow-and-google-colab-users

New Course! Web Scraping and API Fundamentals in Python

Hi! I’m Nikola Pulev, a Physics graduate from the University of Cambridge turned Data Science practitioner and a course instructor at 365 Data Science… And I have exciting news coming your way – the release of our new course – Web Scraping and API Fundamentals in Python! In this post, I’ll share with you whatContinue reading “New Course! Web Scraping and API Fundamentals in Python”

3 Reasons to Use Random Forest Over a Neural Network: Comparing Machine Learning versus Deep Learning

Both the random forest algorithm and Neural Networks are different techniques that learn differently but can be used in similar domains. Why would you use one over the other? Originally from KDnuggets https://ift.tt/3aV3jSl source https://365datascience.weebly.com/the-best-data-science-blog-2020/3-reasons-to-use-random-forest-over-a-neural-network-comparing-machine-learning-versus-deep-learning

KDnuggets News 20:n14 Apr 8: Free Mathematics for Machine Learning eBook; Epidemiology Courses for Data Scientists

Stop Hurting Your Pandas!; Python for data analysis… is it really that simple?!?; Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs; Build an app to generate photorealistic faces using TensorFlow and Streamlit; 5 Ways Data Scientists Can Help Respond to COVID-19 and 5 Actions to Avoid Originally from KDnuggets https://ift.tt/2Ro0LEJ source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-20n14-apr-8-free-mathematics-for-machine-learning-ebook-epidemiology-courses-for-data-scientists

T-Cell Receptor Sequencing using Neural Networks

Helping to eradicate diseases and viruses through the power of T-cells. The Greatest Threat to Humanity… What is the greatest threat to humanity? Some might say that it’s a nuclear fallout. Others might say it’s the threat of a large asteroid hitting our planet. In fact, most people believe that the biggest threat to humanity isContinue reading “T-Cell Receptor Sequencing using Neural Networks”

How is Artificial Intelligence used in Sales?

Source Industrialists are using AI as an essential marketing strategy to boost sales. Here are 5 intriguing ways in which Artificial Intelligence is used in Sales. Read these now! Companies are leveraging the incredible benefits of Artificial Intelligence to advance their businesses. With its strong capabilities, Artificial Intelligence has now plunged into the Sales Industry too!Continue reading “How is Artificial Intelligence used in Sales?”

Artificial Intelligence Will Change the Way Leaders Think About Management

Source The robot revolution is here, and it’s taken over the manager’s desk — or, at the very least, begun to share the chair. In recent years, artificial intelligence (AI) tools have begun to edge their way into the day-to-day conventions of work and leadership. In 2019, the Oracle and Future Workplace AI@Work Global Study reported that nearlyContinue reading “Artificial Intelligence Will Change the Way Leaders Think About Management”

2 Things You Need to Know about Reinforcement Learning Computational Efficiency and Sample Efficiency

Experimenting with different strategies for a reinforcement learning model is crucial to discovering the best approach for your application. However, where you land can have significant impact on your system’s energy consumption that could cause you to think again about the efficiency of your computations. Originally from KDnuggets https://ift.tt/3aQepbb source https://365datascience.weebly.com/the-best-data-science-blog-2020/2-things-you-need-to-know-about-reinforcement-learning-computational-efficiency-and-sample-efficiency

Simple Question Answering (QA) Systems That Use Text Similarity Detection in Python

But how exactly are smart algorithms able to engage and communicate with us like humans? The answer lies in Question Answering systems that are built on a foundation of Machine Learning and Natural Language Processing. Let’s build one here. Originally from KDnuggets https://ift.tt/2V4wdsA source https://365datascience.weebly.com/the-best-data-science-blog-2020/simple-question-answering-qa-systems-that-use-text-similarity-detection-in-python

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