Artificial Intelligence

Data Leakage is one of the Biggest issues in machine learning and can lead to deceptive and poor model performance hence it needs to be properly dealt with before deploying your model in production.fountain image from unsplashData leakage is one of the most difficult problems when developing a machine learning model. It happens when you train your algorithm on a dataset that … [Read more...] about How To Properly Deal With Data Leakage

Model evaluation with metric API for regression and classificationPhoto by Sheri Hooley on UnsplashIn this article, we will discuss various metrics of regression and classification in machine learning. We always think of steps involved in modeling a good machine learning algorithm. The one-step is the metrics for evaluation of the goodness of the model. When we fit our model … [Read more...] about Regression and Classification Metrics in Machine learning with Python

At the end of last year, I gave a presentation at QConPlus about some of the more interesting software architectures we ended up building on the Biden for President campaign. The last architecture I discussed was that of CouchPotato, which was essentially a media intelligence platform we built to quickly extract meaning from a video or body of text. CouchPotato became an … [Read more...] about Artificial Intelligence on the Biden Campaign

At CES 2021, Todd Cochrane sits down to talk to Dylan Grey, founder of BOON, an award-winning startup from the UK that is revolutionizing online shopping with psychological research and AI technology.The company has built the technology to create a personalized shopping experience using a unique combination of psychology and AI. The startup works with online retailers to … [Read more...] about BOON Spotlight provides private and personalized shopping @ CES 2021

At the start of January 2020 I made top 5 predictions in the digital, crypto and blockchain space and evaluated how these had played out at the start of January 2020. The results were very accurate. I try to repeat that feat with my key predictions for 2021:Capital markets accelerate the move from analogue to digitalI expect some very interesting developments in the digital … [Read more...] about 5 Digital, Crypto and Blockchain predictions for 2021

Debating the lawyers as coders topicby Dr. Lance B. EliotFor a free podcast of this article, visit this link https://ai-law.libsyn.com/website or find our AI & Law podcast series on Spotify, iTunes, iHeartRadio, plus on other audio services. For the latest trends about AI & Law, visit our website www.ai-law.legalKey briefing points about this article:There is tremendous … [Read more...] about AI & Law: Lawyers As Coders

Decision trees are simple yet powerful. They offer advanced machine learning with relatively high interpretability (contrasting powerful “black box” algorithms such as neural networks). If you’ve ever wondered how computers are able to learn for themselves to address important questions, then stick around for a few.My particular interest is in how Artificial Intelligence can be … [Read more...] about Decision Trees in 5 minutes

Supply and demand are something many companies must consider. A dynamic pricing strategy can help solve fluctuating supply and demand problems by changing the price of an item or service to meet consumer demand.Leveraging pricing power is a great way to achieve business goals. And did you know that machine learning is the best way to leverage pricing power? Read on to find out … [Read more...] about Create a Dynamic Pricing Strategy using Machine Learning

Statutory warning: You will need lot of attention to go through the details, so get ready. 🏋Below is the Transformer image seen across blog posts explaining Transformers and is provided in original “Attention is all you need” paper as well. It was intimidating for me in the beginning & I am sure it would be for you too but do not worry, as we decipher the mystery you will … [Read more...] about Transformers

In part one we used the “Tips” dataset now we will be using the “penguins” dataset.Now let's load the dataset.d = sns.load_dataset(“penguins”)d.columns>> Index(['species', 'island', 'bill_length_mm', 'bill_depth_mm', 'flipper_length_mm', 'body_mass_g', 'sex'],dtype='object')Draw a combination of boxplot and kernel density estimate.A violin plot plays a similar role … [Read more...] about Plotting with Seaborn: part 2