AI News

NOVEMBER 16, 2023

Kinetic Consulting , the leading boutique consulting company providing business growth consultancy, has released macky.ai , the first AI business consulting platform that offers any organisation an easy, non-prompt-based AI consulting solution for up to 55 different business categories. What is Macky AI?

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Towards AI

MAY 3, 2024

This is followed by 2 dense layers, which classify the images into 10 categories based on the features. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. At the beginning of the network, convolutional and max pooling layers alternate to extract important features.

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Neural Network Categorization Metadata AI 74

Bugra Akyildiz

JANUARY 1, 2023

They define main 3 different categories: Uncertainty reflects the imperfect or unknown information that makes it difficult for a model to make accurate predictions. Pick the photo that best represents the category. The library that converts stable diffusion models into CoreML is available in GitHub.

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Heartbeat

JANUARY 24, 2024

Pie Chart: The pie chart is identical to the CountPlot, but it additionally provides information about the percentage of each category included in the data, which indicates which category is receiving how much weight in the data. Plotting CountPlot Output: Output of CountPlot 2. We pay our contributors, and we don’t sell ads.

Data Analysis 52

Data Analysis Categorization Data Scientist Machine Learning 52

Towards AI

FEBRUARY 20, 2024

Artificial Intelligence” is a term situated in the same category of other terms such as “strategy,” “consciousness,” “value” and “morality,” a group conveniently labeled “suitcase words” by Marvin Minsky. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

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Towards AI

FEBRUARY 1, 2024

Clustering unveiled: The Intersection of Data Mining, Unsupervised Learning, and Machine Learning by Anand Raj Clustering in Data Mining and Machine Learning reveals patterns by grouping data based on shared traits without predefined categories. Algorithms autonomously find groupings, and metrics like the Dunn index assess their precision.

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Heartbeat

MARCH 6, 2023

Image classification is a computer vision task that allows algorithms to understand an image’s contents and assign one or more categories to the image. In this tutorial, you will use the Fashion MNIST dataset that contains 72K grayscale images of clothes belonging to 10 categories. Add the following code block to your R script.

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Towards AI

JULY 17, 2023

Link to datasets Electronics e-commerce platform dataset: eCommerce behavior data from multi-category store | Kaggle Grocery store dataset (Introduced later in this article): Market Basket Analysis Data | Kaggle Key Terms for this article A “transaction” refers to the purchase of one or more items. Published via Towards AI

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Heartbeat

JULY 19, 2023

Finally, the summarise() function counts the number of reviews in each sentiment category. The confusion_matrix variable stores a table that shows the number of correctly and incorrectly classified reviews for each sentiment category (positive and negative). Next, the group_by() function groups the data by the sentiment column.

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Heartbeat

APRIL 17, 2023

Classification: Each phrase is then classified into specific named entity categories, such as a person, organization, location, date, or numerical expression. The output is a list of named entities and their corresponding categories. SpaCy supports several categories of named entities, including PERSON, ORG, GPE, DATE, TIME, and MONE.

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Towards AI

JULY 17, 2023

This dataset consists of 6 attributes describing cars and one Target variable — car_type containing multiple Categories. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. The dataset used can be found here. From research to projects and ideas.

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Heartbeat

FEBRUARY 13, 2023

Grouped by the category We can also filter the data based on different conditions. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. We pay our contributors, and we don’t sell ads.

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Data Science Python Deep Learning Data Scientist 94

Heartbeat

FEBRUARY 7, 2023

Language models can be divided into two categories: Statistical language models Neural language models Statistical Language Models Based on probability theory, statistical language models calculate the likelihood of a word sequence using statistical methods. How does the team at Uber manage to keep their data organized and their team united?

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Heartbeat

JULY 6, 2023

CNNs are capable of learning features that are robust to variations in object appearance, lighting, and orientation, and can be trained to identify specific object categories such as people, cars, animals, and other objects. In this article, you will learn about object detection through the SWIN Transformer. What is the Swin Transformer?

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Heartbeat

FEBRUARY 21, 2023

Sentiment Analysis One common approach to sentiment analysis is using supervised machine learning techniques to classify text into various sentiment categories, such as positive, negative, or neutral. Once the classifier is trained, it can be used to classify new text into the appropriate sentiment category.

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Ofemwire

NOVEMBER 21, 2023

” “I’m interested in understanding the nuances of selling in specific Amazon categories, such as electronics or beauty products. Can you provide a detailed strategy for budgeting and bidding in Sponsored Products, Sponsored Brands, and display advertising?

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Heartbeat

FEBRUARY 15, 2023

It is a supervised learning methodology that predicts if a piece of text belongs to one category or the other. Conclusion In this article we used Keras with R to build a neural network that can classify text into two categories. Source: [link] Text classification is an interesting application of natural language processing.

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Heartbeat

NOVEMBER 7, 2023

NLP — Topic Modeling For a TV Series Episode Summary Introduction Many of us watch TV shows for leisure within our daily mundane routines via various online streaming platforms (such as Amazon Prime or Netflix), each having its share of show categories. Each episode present in the show contains a story with some difference in their nature.

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Heartbeat

NOVEMBER 22, 2023

Other product categories and details) ''' This step allows you to enter the product list for your store. We offer a variety of products across categories such as Women's Clothing, Men's clothing, Accessories, Kids' Collection, Footwears and Activewear products. Be friendly and helpful in your interactions.

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Snorkel AI

JUNE 15, 2023

All the techniques we use are common across these different categories. Red Bull is an interesting case since we want to track it as an energy drink, but they also sponsor sports events so it appears there. Then we could compose that with other category distinctions that we’re making. PD: It’s a good question.

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Snorkel AI

JUNE 15, 2023

All the techniques we use are common across these different categories. Red Bull is an interesting case since we want to track it as an energy drink, but they also sponsor sports events so it appears there. Then we could compose that with other category distinctions that we’re making. PD: It’s a good question.

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O'Reilly Media

APRIL 23, 2024

Amazon abuses the trust that users have come to place in its algorithms, and instead allocates user attention and clicks to inferior quality sponsored information. The most-clicked sponsored products were 17% more expensive and 33% lower ranked according to Amazon’s own quality, price, and popularity optimizing algorithms.

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Heartbeat

NOVEMBER 15, 2023

The Naive Bayes model determines whether an email is spam based on the frequency of words in each category. Digits=LabelEncoder() The fit() method of the LabelEncoder() class takes a list of categorical values as input and assigns a unique numerical label to each distinct category. We pay our contributors, and we don’t sell ads.

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Machine Learning Categorization Data Scientist Deep Learning 52

Heartbeat

MARCH 5, 2024

Typical computer vision tasks include: Image Classification : Assigning predefined labels or categories to images based on their content, for example, classifying images of animals into different species. Object Detection : Locating and identifying multiple objects within an image or video.

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Computer Vision Deep Learning Convolutional Neural Networks Machine Learning 52

Heartbeat

JUNE 28, 2023

Types of Knowledge Distillation It is broadly categorized into two main categories:- Soft target distillation: In this type of knowledge distillation, the teacher model generates soft targets in the form of probability distributions for each input example, which are then used to train the student model.

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ODSC - Open Data Science

JUNE 13, 2023

Text data: video titles, descriptions, categories, tags filled in by content creators, and comments left by content consumers. These primarily include ads and sponsored content. Statistical data: measured content affinities such as view counts, comment counts, like counts, dislike counts, share counts, and subscription counts.

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Heartbeat

SEPTEMBER 18, 2023

People can easily find the data and tools they need by browsing through logical categories like "Projects," "Experiments," "Models," and "Teams." Thanks to the platform’s centralized dashboard, all ML projects, tests, and models can be seen in one place. We pay our contributors, and we don’t sell ads.

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Heartbeat

APRIL 11, 2023

There are 5,856 chest X-ray images overall in the dataset, divided into two categories: pneumonia and normal. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Heartbeat

JANUARY 5, 2024

Secondly, you can pass the data to a prompt through Prompt Stuffing , the more straightforward way provided by LangChain’s indexing category. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Large Language Models LLM Chatbots AI 52

Heartbeat

AUGUST 21, 2023

AlexNet was created to categorize photos in the ImageNet dataset, which contains approximately 1 million images divided into 1,000 categories. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Heartbeat

SEPTEMBER 20, 2023

Image Segmentation Image segmentation algorithms play a crucial role in computer vision by dividing images into distinct regions based on visual characteristics and assigning each pixel to a specific class or object category. This process enables a more granular understanding of different regions and objects within the image.

Natural Language Processing 52

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Heartbeat

MARCH 1, 2023

The fourth layer then includes 10 categories to reflect the 10 sample images that are included in our dataset. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Heartbeat

JANUARY 30, 2023

The sentiment intensity analyzer function of VADER accepts a string and produces a dictionary of scores for each of the following categories: negative neutral positive compound (the total of the negative, neutral, and positive scores, adjusted between -1 and +1) (strongly positive). Have you tried Comet?

Machine Learning 52

Machine Learning Deep Learning Natural Language Processing NLP 52

John Snow Labs

MAY 10, 2023

Finding patient cohorts for clinical trials – Premier Applied Sciences® (PAS) has teamed with Clinithink , a healthcare technology startup, to bring NLP to investigators, trial sponsors, and other research organizations that can benefit from it. The common types of clinical entities are “ test ”, “ problem ”, and “ treatment ”.

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Natural Language Processing NLP Categorization Big Data 52

Heartbeat

MAY 8, 2023

astype(int) plt.figure(figsize = (15,2)) plt.imshow(X[index]) plt.xlabel(classes[y[index]]) Fig 1 After viewing the various categories of leaves we then start building our ML model. The class labels are obtained from a dictionary called classes. def plot_sample(X, y, index): index = np.round(index).astype(int)

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Computer Vision Machine Learning Data Scientist Deep Learning 52

Heartbeat

FEBRUARY 15, 2024

The HOG Advantage in Object Detection One of the standout advantages of HOG-based object detection is its ability to handle diverse object categories without the need for extensive training data. Practical Deep Learning Courses: Fast.ai We’re committed to supporting and inspiring developers and engineers from all walks of life.

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AssemblyAI

DECEMBER 28, 2022

In addition, we were also proud to be recognized as a G2 High Performer and Momentum Leader in the Voice Recognition Software category for Fall , Summer , and Spring 2022. To receive G2’s High Performer recognition, companies must maintain the highest customer satisfaction scores in the given category.

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