Towards AI

OCTOBER 11, 2023

Last Updated on October 12, 2023 by Editorial Team Author(s): David R. For the model to understand everything it has written it needs to keep a very long context window, otherwise, the ending of the book would not wrap up all of the plot details. Winer Originally published on Towards AI.

LLM 110

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Towards AI

FEBRUARY 22, 2024

import torchimport torch.nn.functional as Fimport matplotlib.pyplot as plt # for making figuresimport numpy as np%matplotlib inline Next we’ll import our dataset of names and build vocabulary out of it # read in all the wordswords = open('names.txt', 'r').read().splitlines()#

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Mlearning.ai

FEBRUARY 25, 2023

Data visualization can also be used to communicate findings to others in an easily understandable format, such as tables, plots, diagrams, and infographics. Matplotlib is a plotting library for the Python programming language which is a powerful tool for data visualization and is widely used in the scientific community.

Data Science 52

Data Science Python Categorization Explainability 52

Mlearning.ai

JUNE 25, 2023

Basic workflow pictorial illustration — Image by Author In the above basic workflow, we can see the different steps that includes user login; API key submission form; uploading files; input text area for user questions; displaying response as text/graphs output; displaying the history of queries and responses, etc.

Generative AI 52

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Pickl AI

NOVEMBER 6, 2023

Steps to Perform Data Visualization: Data visualization is the presentation of information and statistics using visual tools that include charts, graphs, and maps. By visualizing data distributions, scatter plots, or heatmaps, data scientists can quickly identify outliers, clusters, or trends that might go unnoticed in raw data.

Data Scientist 52

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Mlearning.ai

JULY 29, 2023

The term “data visualization” refers to the visual representation of data using tables, charts, graphs, maps, and other aids to analyze and interpret information. Moreover, Python can seamlessly integrate with other popular data visualization languages like R. What is data visualization? An overview of data visualization 2.1

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Mlearning.ai

AUGUST 4, 2023

Unveiling Developers’ Technologies and Tools Usage in Large and Small and Medium-sized Enterprises with ChatGPT In this article, I delve into an in-depth exploration and analysis of the 2023 StackOverflow Survey data to uncover the technologies and tools utilized by Developers by showcasing an interesting application of ChatGPT in programming tasks.

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Pickl AI

JULY 18, 2023

R: Statistical Powerhouse R is a statistical Data Science programming language. Hence, Data Scientists rely on R to perform complex statistical operations. With a wide array of packages like ggplot2 and dplyr, R allows for sophisticated data visualization and efficient data manipulation.

Data Science 52

Data Science Data Scientist Python Business Intelligence 52

Marktechpost

JULY 18, 2023

Fast R-CNN The Fast R-CNN technique, or Fast Region-Based Convolutional Network method, is a training algorithm for detecting objects. This method improves the speed and accuracy of R-CNN and SPPnet while addressing their key weaknesses. Python and C++ create fast R-CNN software (Caffe).

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Topbots

JUNE 22, 2023

The plot below shows bimodal distributions in both training and testing sets. Moreover, its capacity to be an ML model trained for general tasks and perform very well in domain-specific situations is impressive. I am a researcher, and its ability to do sentiment analysis (SA) interests me. finance, entertainment, psychology).

Machine Learning 111

Machine Learning ChatGPT Natural Language Processing Categorization 111

Shreyansh Singh

MARCH 26, 2023

Overview Attention as we know, in its standard implementation is an $O(N^2)$ operation, where N is the sequence length. The algorithm uses tiling to reduce the number of memory reads/writes between GPU high bandwidth memory (HBM) and GPU on-chip SRAM. length 512) compared to the MLPerf 1.1 training speed record, 3× speedup on GPT-2 (seq. length 1K).

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Algorithm BERT Explainability 99

Pickl AI

JULY 28, 2023

Use graphs, charts, and interactive visualizations to present your findings in an engaging manner. Tools like Python (matplotlib, seaborn) or R (ggplot2) can be helpful for creating visualizations. Python, R, SQL), any libraries or frameworks, and data manipulation techniques employed.

Data Analysis 52

Data Analysis Python Explainability Machine Learning 52

PyImageSearch

MAY 1, 2023

The goal would be to train a YOLOv8 variant that can learn to recognize 1 of 5 hand gestures (e.g., one , two , three , four , and five ) with good mean average precision (mAP). Looking for the source code to this post? The progress in this domain has been significant; every year, the research community achieves a new state-of-the-art benchmark.

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Computer Vision Deep Learning Neural Network Python 107

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. link] Note: * represents your OpenAI API token key. You can find on your account here.

Artificial Intelligence 52

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Almost 50 years later, the estimation of housing prices has become an important teaching tool for students and professionals interested in using data and ML in business decision-making. In this post, we discuss the use of an open-source model specifically designed for the task of visual question answering (VQA).

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Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Vaswani et al. without conventional neural networks. without conventional neural networks.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Towards AI

MARCH 21, 2023

PowerBI, Tableau) and programming languages like R and Python in the form of bar graphs, scatter line plots, histograms, and much more. Processes like exploring, cleaning, and transforming the data that make the data as efficient as possible. These visualizations can be done using platforms like software tools (e.g.,

ETL 79

ETL Data Scientist Automation Data Science 79

Mlearning.ai

AUGUST 13, 2023

1) — Importing libraries import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt df = pd.read_excel(r"C:UserswitZPyStock_Sold_Products_1st_Semester-2023.xlsx") twinx() # Bar graph for category frequency category_counts.plot(kind='bar', ax=ax1, color='C4', position=0.5,

Python 52

Python Data Analysis ML Data Science 52

DataRobot Blog

FEBRUARY 21, 2022

Visualizations: How flexible is plotting? The output was designed for the command line world, not a graphical plot world. The output was designed for the command line world, not a graphical plot world. The bar for AI keeps rising. At the same time, the toolkit needs to meet enterprise needs and regulatory requirements.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Mlearning.ai

FEBRUARY 24, 2023

library(readr) library(readxl) library(ggplot2) theme_set(theme_bw()) library(dplyr) library(lubridate) ggplot(df_temp, aes(x=Tijd, y=Temperature, col=bron))+ geom_line(alpha=0.5)+ labs(x="Time") First plot shows all the temperature data that I have. This is not an easy thing to do. df_weight%>% timetk::summarise_by_time(.,

ML 52

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Pickl AI

APRIL 26, 2024

Additionally, it delves into case study questions, advanced technical topics, and scenario-based queries, highlighting the skills and knowledge required for success in data analytics roles. Mastering Data Analyst Interviews: Top 50+ Q&A Data Analysts are pivotal in deciphering complex datasets to drive informed business decisions.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Mlearning.ai

JUNE 29, 2023

Photo by Aditya Chache on Unsplash DBSCAN in Density Based Algorithms : Density Based Spatial Clustering Of Applications with Noise. Earlier Topics: Since, We have seen centroid based algorithm for clustering like K-Means.Centroid based : K-Means, K-Means ++ , K-Medoids. & One among the many density based algorithms is “DBSCAN”. Density = 7.

Algorithm 52

Algorithm Data Mining Categorization Deep Learning 52

Mlearning.ai

JULY 2, 2023

Plotly proved to be quite helpful in creating interactive graphs for visualizing the data. Following these steps, I will preprocess the data and perform a multivariate forecasting study. Following these steps, I will preprocess the data and perform a multivariate forecasting study.

Categorization 52

Categorization Data Analysis Data Science ML 52

PyImageSearch

JANUARY 15, 2024

The structure is a graph representing similarities between other images in our dataset and our input image. Notice that the graph in the figure above contains images of other bulldogs that are similar to our input dog image. Let us try to understand in detail how the NSL framework works. Suppose we have a bulldog image (i.e.,

Computer Vision 64

Computer Vision Neural Network Deep Learning Artificial Intelligence 64

AI Impacts

DECEMBER 13, 2023

Hardware Overhang for AI One major concern about pausing AI development, from a purely safety perspective, is the possibility of hardware overhang. 1 Here is the concern as I understand it: Suppose a policy were put in place tomorrow that banned all progress in AI capabilities anywhere in the world for the next five years.

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Explainability AI AI AI Developer 147

TensorFlow

MARCH 14, 2023

Posted by Sivylla Paraskevopoulou, Product Marketing Manager at MathWorks In this blog post I will show you how to use TensorFlow™ with MATLAB® for deep learning applications. Deep Learning Toolbox provides a framework for designing and implementing deep neural networks with algorithms, pretrained models, and apps. Why TensorFlow and MATLAB?

Deep Learning 52

Deep Learning Neural Network Python Computer Vision 52

Mlearning.ai

DECEMBER 25, 2023

Unimodal Function Plots Golden Ratio, in mathematics two quantities are said to be in golden-ratio if their ratio is same as the ratio of sum of two quantiles, only if a and b > 0. To put it in simple terms, optimization algorithms find the values of weights (parameters) that reduce the errors while mapping input to output/targets.

Algorithm 52

Algorithm Machine Learning Artificial Intelligence Artificial Intelligence 52

Mlearning.ai

NOVEMBER 30, 2023

Mastering Tree-Based Models in Machine Learning: A Practical Guide to Decision Trees, Random Forests, and GBMs Image created by the author on Canva Ever wondered how machines make complex decisions? Just like a tree branches out, tree-based models in machine learning do something similar. They’re the backbone of decision-making processes in AI.

Machine Learning 52

Machine Learning Data Science Algorithm Python 52

PyImageSearch

DECEMBER 26, 2022

When wrapped inside the Value class, the scalar value is considered a Node of a Graph. When we use Value s and build an equation, the equation is considered a Directed Acyclic Graph (DAG). With the help of calculus and graph traversal , we compute the gradients of the nodes automatically (autodiff) and backpropagate through them.

Neural Network 52

Neural Network Computer Vision Deep Learning Python 52

Mlearning.ai

MARCH 9, 2023

Specifically, the MBD approach constructs a directed acyclic graph (DAG) from the image pixels and labels, where the nodes in the graph represent the pixels and labels, and the edges represent the causal dependencies between them. 2018; Sitawarin et al., 2018; Papernot et al., foreground or background) (Xu et al.,

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

Computer Vision 64

Computer Vision Machine Learning ML Convolutional Neural Networks 64

TensorFlow

APRIL 28, 2023

These types of models allow people to generate these images not only from images but also condition them with other inputs such as segmentation maps, other images, depth maps, etc. In many ways, an end Stable Diffusion system (such as this ) is often very complete. Our code is open-sourced in this repository. Let’s dive in. GBs in size).

Machine Learning 52

Machine Learning ML Deep Learning Linked Data 52

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. What is Data Science?

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). Depending on the data they are provided, different classifiers may perform better or worse (eg. Uysal and Gunal, 2014). The main reason for this is that there are a lot of classes and a lot of different texts.

BERT 52

BERT NLP Natural Language Processing Algorithm 52

Mlearning.ai

NOVEMBER 29, 2023

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. That is if you are looking to take a sturdy, profitable position amongst business competitors in your niche.

Machine Learning 52

Machine Learning ML Neural Network Convolutional Neural Networks 52

PyImageSearch

OCTOBER 23, 2023

Moreover, you’ll grasp the unique characteristics that set VAEs apart in the world of generative models alongside notable counterparts like Generative Adversarial Networks (GANs) and Energy-Based Models (EBMs). Ready to unravel the intricacies of training and experimenting with Variational Autoencoders on the CelebA dataset using PyTorch?

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Computer Vision Deep Learning Neural Network Explainability 67

The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. MLOps landscape One of the defining characteristics of the MLOps landscape in 2023 is the coexistence of both open-source and closed-source solutions.

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