ODSC - Open Data Science

SEPTEMBER 8, 2023

Creating Visualizations Scatter Plots The classic visualization for a clustering model is a series of scatter plots comparing each pair of features that went into the clustering model, with cluster assignment denoted by color. If you’re not familiar with violin plots, think of them as the grown up cousin of the classic box plot.

Clustering 52

Clustering Data Science Data Scientist Predictive Analytics 52

phData

MARCH 15, 2023

Streamlit has really simple and effective native charts out of the box, while also supporting other python plotting libraries including Plotly, which is the library we will be using today. To plot out the three-point line, first create one side of the straight portion, next the arc, and lastly the other side of the straight portion.

Python 98

Python Database 98

The MLOps Blog

JANUARY 24, 2024

PyMC and ArviZ are an excellent pairing of open-source Python libraries for modeling and visualizing Bayesian models. PyMC provides an intuitive API for describing observables, priors, and likelihoods, while ArviZ produces standard plots with just a few lines of code. You’ll see that both libraries work very well together.

Python 59

Python ML ML Data Scientist 59

Google Research AI blog

JUNE 21, 2023

Imagine plotting two particles’ locations vs. time. If the particles stay put, the plot would simply be two parallel lines, representing their constant locations. The fusion rules of non-Abelian anyons We investigate fusion rules by studying how a pair of D3Vs interact with the bishop-like plaquette violations introduced above.

AI 86

AI AI 86

Towards AI

JANUARY 28, 2023

Calculate the correlation coefficient and correlation plot A correlation coefficient is a number between -1 and 1 that tells the strength (along with direction) between features of the dataset. A correlation plot helps in visualizing correlation coefficients between features of the dataset.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Towards AI

JULY 17, 2023

Today, we will introduce the concept of cost functions, show common examples and learn how to code and plot them. x + noise; return std::make_pair(x, y);}); If we plot this sample using any spreadsheet software, we get something like this: Note that we know the formula of G(X) and F(X). As always, from scratch in pure C++ and Eigen.

Deep Learning 67

Deep Learning Deep Learning Machine Learning Machine Learning 67

PyImageSearch

JULY 17, 2023

script sets up the autoencoder model hyperparameters and creates an output directory for storing training progress metadata, model weights, and post-training analysis plots. saved model weights or performance plots) are stored. reconstruction plots). This would be a 2D plot since the EMBEDDING_DIM is 2. The config.py

Deep Learning 98

Deep Learning Deep Learning Python Machine Learning 98

Mlearning.ai

JUNE 10, 2023

To plot the contour of the loss function, we begin by selecting a center point W* , which represents the set of weights after the full training. Random sets The idea is to plot a function of the following form : Loss function form As mentioned earlier, δ and η are direction vectors with values ranging from [-1, 1]. That’s about it!

Algorithm 52

Algorithm AI AI Deep Learning 52

ML @ CMU

DECEMBER 29, 2023

Below, we see that the CIFAR10-FEMNIST and StackOverflow-Reddit pairs (top left, bottom right) show the clearest transfer between the two datasets. For each pair of datasets, we randomly sample 128 configurations and plot each configuration at the coordinates corresponding to the error rate on the two datasets.

Algorithm 236

Algorithm Machine Learning Machine Learning ML 236

Heartbeat

FEBRUARY 22, 2024

This lets you use natural language to execute Pandas' commands, like manipulating data frames and plotting a graph. Overview of PandasAI PandasAI is a powerful Python library that uses generative AI models to make Pandas conversational. You can also view it on the Comet Platform.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Azure 52

Mlearning.ai

JULY 17, 2023

Gower distance is a metric used to calculate the similarity between pairs of objects or observations in a dataset. The Gower distance matrix is then calculated using the gower_matrix function, which computes the Gower distance for each pair of data points. Finally, a scatter plot is created to visualize the clusters.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

Hacker News

DECEMBER 5, 2023

Find me all the pairs of phones that were moving toward each other, turned themselves off, then turned themselves on again an hour later while moving away from each other (a sign of a secret meeting). Find everyone who is plotting a crime, or spreading a rumor, or planning to attend a political protest. There’s so much more.

AI 144

AI AI Artificial Intelligence Artificial Intelligence 144

Shreyansh Singh

FEBRUARY 18, 2024

The first pair of 10 × 50 haystack plots on the left compare Gemini 1.5 Pro successfully retrieves the secret word inserted at all depth percentages up to an hour of video, as shown by the all-green plot. This figure compares Gemini 1.5 All video clips are sampled at one frame-per-second (1 fps).

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52

Towards AI

MAY 10, 2024

GLCM is a matrix representing the relative frequencies of a pair of grey levels present at a certain distance apart and a particle angle. In Figure 6, the data points have been classified into two classes, and a new data point with an unknown class is added to the plot. Figure 3 shows how the GLCM is determined.

K-nearest Neighbors 85

K-nearest Neighbors Decision Trees Machine Learning Machine Learning 85

ODSC - Open Data Science

MARCH 1, 2024

Trending AI Open Source Projects minbpe is an open-source project from famed researcher Andrej Karpathy and provides minimal, clean code for the ( Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization. Neural Flow is a Python script for plotting the intermediate layer outputs of Mistral 7B.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI AI 98

Towards AI

MAY 12, 2023

Step 1: Sort data: 2, 4,6,9,12,102Step 2: Spot for extreme values we can see 102 is an extreme value so that could be an outlier for us.Method 4: Plotting scatter plot, boxplotScatterplot: It is a great indicator that allows us to see whether there is a pattern between two variables.

Data Science 85

Data Science Hypothesis Testing AI AI 85

Hacker News

MARCH 29, 2024

Here’s a plot of the inex and saros numbers of all eclipses between 1000 AD and 3000 AD (with the April 2024 eclipse indicated in red): Each saros series shows up as a vertical line of eclipses, and each inex series as a horizontal line. For each saros, inex number pair there’ll be some kind of eclipse.

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PyImageSearch

SEPTEMBER 11, 2023

In computer vision, the recent foundational models mainly rely on utilizing large scale web-data and aligning image and text pairs to train strong representation models. Next, we define our helper functions which will allow us to plot the different prompts and visualize the segmentation masks. without further fine-tuning).

AI 117

AI AI Deep Learning Deep Learning 117

Mlearning.ai

JUNE 27, 2023

MAX:- This metric calculates the maximum distance between any pair of data points belonging to different clusters. Group-Average: This metric computes the average distance between all pairs of data points belonging to different clusters. Minimum computation. MIN Dendrogram. This is how we define similarity using the MIN approach.

Clustering 52

Clustering Algorithm Computer Science Computer Science 52

ODSC - Open Data Science

APRIL 25, 2023

Graph theory defines a graph as a collection of objects where pairs of objects are connected and represented as mathematical entities known as nodes and edges. Step 5: Use ChatGPT to Generate Data To accurately plot the countries on the map, we need precise coordinates such as latitude and longitude.

Data Science 52

Data Science AI AI Algorithm 52

PyImageSearch

JUNE 5, 2023

We have 2 Generators ( G and F ) and 2 Discriminators ( X and Y ), which allow us to perform image-to-image translation between the apples and oranges domains without paired images. set_title("Input Image") # plot the predicted CycleGAN image ax[1].imshow(array_to_img(pred)) Next, we plot the corresponding CycleGAN output (i.e.,

Deep Learning 56

Deep Learning Deep Learning Data Pipeline Python 56

Hacker News

MAY 21, 2024

The UMD pair said they spent a month early in their research continuously querying the API, asking it for the location of more than a billion BSSIDs generated at random.

Database 165

Database 165

The MLOps Blog

DECEMBER 19, 2022

Metric Learning problems principally fall into two categories one is Supervised where data points have a class label as target (same as in standard classification problem), and another one is Weakly Supervised where data points are at tuple level (pairs, triplets or quadruplets). m is the margin. m is the margin. Dw is the distance function.

ML 52

ML ML Algorithm Deep Learning 52

Flipboard

APRIL 17, 2023

Visualizing the function plt.scatter(xs, ys) plt.xlabel("xs") plt.ylabel("ys") plt.title("Linear Function") plt.show() Figure 1: A plot of a linear dataset (source: image by the authors). Figure 1 visualizes the linear function using matplotlib. To combat a linear dataset, we build a linear regression model.

Machine Learning 107

Machine Learning Machine Learning Deep Learning Deep Learning 107

Ocean Protocol

DECEMBER 19, 2023

See “DappRadar : Predictoor” page , the “UAW” line on the plot. What numbers would need to be met before another say 100 price feeds are added to predictoor (1, 15, 30 min feeds), more token pairs including Ocean (helping increase Ocean volume) etc. As part of our work, we are exploring other trading venues & pairs.

AI 52

AI AI Analytics Analytics 52

phData

DECEMBER 22, 2023

This procedure uses Snowpark Python to query the source_table (the table that was populated by get_n_random_locs()) and creates a distance lookup between coordinate pairs. One caveat to be aware of is that the Plotly 3D plots that create the globes are a bit hefty. Depending on your machine, your mileage may vary.

Algorithm 52

Algorithm Python SQL Database 52

Heartbeat

SEPTEMBER 28, 2023

During this step, for each plot, I utilize experiment.log_figure(figure=plt) to log the plot to Comet for enhanced tracking and visualization. You can access these plots by navigating to [Respective Experiment] > Graphics. Customer Churn Distribution This plot shows the distribution of churn vs. non-churn customers.

Support Vector Machines 52

Support Vector Machines Machine Learning Machine Learning ML 52

Hacker News

JUNE 28, 2023

megabytes of memory), and it was a thrill see functions like Plot and NestList work just as they would today—albeit a lot slower. is RegionHausdorffDistance which computes the largest of all shortest distances between points in two regions; in this case it gives a closed form: Another pair of new functions in Version 13.3 Version 13.3

Machine Learning 159

Machine Learning Machine Learning AI AI 159

phData

AUGUST 1, 2023

I’m going to train a model, generate some forecasts and a plot, and then save the plot and model to my managed folder, as well as output the forecasts to a new dataset in Dataiku. Within the folder, I have a binary file with the model and an HTML file containing an interactive plot of the forecast.

Python 52

Python Database ML ML 52

phData

AUGUST 1, 2023

I’m going to train a model, generate some forecasts and a plot, and then save the plot and model to my managed folder, as well as output the forecasts to a new dataset in Dataiku. Within the folder, I have a binary file with the model and an HTML file containing an interactive plot of the forecast.

Python 52

Python Database ML ML 52

Towards AI

JUNE 2, 2023

The plots of acceleration, velocity, and position over time. Crossover: Select pairs of chromosomes and exchange segments at corresponding array locations (alleles). Integrating integer-like acceleration twice results in a smooth position curve. Source: image by the author.

Algorithm 94

Algorithm Python Computer Science Computer Science 94

AWS Machine Learning Blog

JANUARY 19, 2024

In this demo, the target task is a binary classification problem where BERT is used to identify, from a dataset that consists of a collection of pairs of text fragments, whether the meaning of one text fragment can be inferred from the other fragment. This dataset consists of pairs of sentences.

AWS 91

AWS Machine Learning Machine Learning ML 91

AssemblyAI

AUGUST 1, 2023

The PM ascribes a numerical value or “ preference score ” to a prompt/response pair, where a pair with a higher score is considered more preferable to another pair with a lesser score. Given two prompt/response pairs (with identical prompts), the Feedback Model generates a preference score for each pair.

AI 52

AI AI Deep Learning Deep Learning 52

Towards AI

APRIL 18, 2023

Cosine Similarity for 1 Trillion Pairs of Vectors Introducing ChunkDot pub.towardsai.net I described how ChunkDot works under the hood and I showed some benchmarks against execution time and memory consumption for dense embeddings. He’s going to be a talking machine in no time.”

Algorithm 80

Algorithm Clustering Python AI 80

Google Research AI blog

MAY 15, 2023

For each plot, models are shown in order of increasing model size (e.g., In general, models’ success at in-context learning is enabled by: Their use of semantic prior knowledge from pre-training to predict labels while following the format of in-context examples (e.g., targets) instead of natural language labels.

Natural Language Processing 134

Natural Language Processing Machine Learning Machine Learning 134

DrivenData Labs

DECEMBER 7, 2023

ii) Network graphs: these were used to explore keyword pair occurrences within narratives for the different clusters, with keyword ranking via the PageRank algorithm highlighting significant terms. race and sex).

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130

ODSC - Open Data Science

MAY 25, 2023

Our mentoring program pairs you with an experienced tech mentor who will work with you on specific learning goals related to coding or methods. link] sktime, the open mentoring and upskilling platform At sktime, we’re dedicated to creating opportunities for the next generation of open source leaders around the world.

Machine Learning 98

Machine Learning Machine Learning Python Data Scientist 98