KDnuggets

SEPTEMBER 21, 2022

7 Machine Learning Portfolio Projects to Boost the Resume • Free SQL and Database Course • Top 5 Bookmarks Every Data Analyst Should Have • 7 Steps to Mastering Python for Data Science • 5 Concepts You Should Know About Gradient Descent and Cost Function.

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Data Science Dojo

JUNE 23, 2023

Fortunately, the internet has made it possible to learn about cybersecurity from anywhere through online courses. In this article, we will outline the benefits of taking a cyber security course online and some of the best top-ranked online cybersecurity courses available. Mastering cybersecurity – Source: Freepik 1.

Data Science 195

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

AI 98

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Dataconomy

JULY 24, 2023

If you’ve found yourself asking, “How to become a data scientist?” In this detailed guide, we’re going to navigate the exciting realm of data science, a field that blends statistics, technology, and strategic thinking into a powerhouse of innovation and insights. What is a data scientist?

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Pickl AI

APRIL 10, 2023

Nowadays, technology-based courses are picking up the pace. With the growing infiltration of technology across different business domains, the requirement for data experts is on the rising. So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India.

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Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

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Towards AI

AUGUST 24, 2023

in Mathematics and an MSCS in Artificial Intelligence, so I am more than qualified to mentor and teach undergraduate mathematics and computer science courses, as well as many graduate courses in Math/CS. I also have a GitHub repo with lots of notes and links to AI/ML articles on various topics LearnAI. I also have an M.S.

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Applied Data Science

OCTOBER 25, 2021

How I learned to stop worrying and love the field This blog covers all the core themes to starting your career in data science: ? Based on current predictions (enabled by data science), this trend will continue, as more and more industries shift towards data-driven and automated solutions.

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Dataconomy

SEPTEMBER 18, 2023

Unlocking the secrets of how to make money online with AI could be the game-changer you’ve been waiting for in your entrepreneurial journey. Far from being a futuristic fantasy, earning a substantial income with AI is a tangible reality today, and the startup costs are often surprisingly low.

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Pickl AI

MAY 31, 2023

With the expanding field of Data Science, the need for efficient and skilled professionals is increasing. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

JANUARY 12, 2023

Due to the growing application of Data Science in different industries, companies are now looking forward to hiring individuals and training their employees on newer technologies that can eventually help the organization attain its goals. Best Data Science courses for working professionals 1.

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How to Learn Machine Learning

MAY 14, 2023

Our article will guide you through the best free online courses to help you achieve your goals as a machine learning engineer. Machine learning engineers are in high demand, and the pursuit of a career in this field can be both personally and financially rewarding. The Machine Learning Engineer Career Path 1.

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Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Definition: Data Mining vs Data Science.

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Pickl AI

MAY 29, 2023

These invaluable insights shall serve as your guiding compass as you embark upon the remarkable odyssey of mastering Python. Devised by the esteemed Guido van Rossum and unveiled in 1991, Python has rapidly become a universal choice across diverse realms of web development, data analysis, and artificial intelligence. What is Python?

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PyImageSearch

MAY 8, 2023

Case Study 1: A “Marvelous” Problem How many times have you looked at the result of your model and wondered what-if the data was something other than what it trained on? Suppose Marvel hires you as a data scientist. What is the reason for such injustice, and how can we exploit that in machine learning? Let’s find out. What is up?

Machine Learning 111

Machine Learning Machine Learning Deep Learning Deep Learning 111

PyImageSearch

FEBRUARY 6, 2023

Jump Right To The Downloads Section Training a Custom Image Classification Network for OAK-D Before we start data loading, analysis, and training the classification network on the data, we must carefully pick the suitable classification architecture as it would finally be deployed on the OAK. tomato, brinjal, and bottle gourd).

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PyImageSearch

MARCH 20, 2023

Jump Right To The Downloads Section Training and Making Predictions with Siamese Networks and Triplet Loss In the second part of this series, we developed the modules required to build the data pipeline for our face recognition application. Furthermore, we will discuss how we can use our model to make predictions in real-time.

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ODSC - Open Data Science

FEBRUARY 17, 2023

What to Expect in 2023: A Data Scientist’s Top 5 AI Predictions Between improved NLP and increased use of AI in finance, here are one data scientist’s 2023 AI predictions. Master the fundamentals before ODSC East 2023 with the pre-conference virtual live training included in a Mini-Bootcamp Pass.

Azure 52

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PyImageSearch

APRIL 24, 2023

Project Structure Accelerating DNNs Using TorchDynamo TorchDynamo vs. TorchScript vs. FX Tracing Data-Dependent Control Flow Non-PyTorch Libraries TorchDynamo FX Graphs Summary Citation Information What’s Behind PyTorch 2.0? data-dependent flows or non-PyTorch libraries). torch.compile What’s Behind PyTorch 2.0?

Deep Learning 103

Deep Learning Deep Learning Python Computer Science 103

PyImageSearch

JANUARY 9, 2023

We will start by loading the Labeled faces in the wild data and prepare for our face recognition application. Jump Right To The Downloads Section Face Recognition with Siamese Networks, Keras, and TensorFlow Deep learning models tend to develop a bias toward the data distribution on which they have been trained.

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PyImageSearch

JANUARY 30, 2023

Yet, globally, it is estimated that around 750 million adults are still functionally illiterate, primarily women living in Africa and South Asia. Even though Artificial Intelligence (AI) is likely to replace millions of workers, it has great potential to enable them to keep up with changing technologies and remain valuable to the country.

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Pickl AI

FEBRUARY 2, 2023

The global AI in retail is expected to swell from under $5 billion in 2021 to more than $31 billion by 2028. AI-powered tool can analyze sales data and predicting future demand. It will be undergoing a major transformation in the years to come. There are several ways in which AI can catalyze the growth of retail businesses.

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Artificial Intelligence Artificial Intelligence AI AI 52

PyImageSearch

FEBRUARY 20, 2023

Many people have asked us to create a course about JAX, so we decided to take on the challenge. Once you complete this course, you’ll be able to understand and work with any code written in JAX/FLAX. Table of Contents Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ??

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Machine Learning Machine Learning Deep Learning Deep Learning 114

Flipboard

MARCH 6, 2023

In the previous tutorial of this series, we built the dataset and data pipeline for our Siamese Network based Face Recognition application. Specifically, we looked at an overview of triplet loss and discussed what kind of data samples are required to train our model with the triplet loss. Looking for the source code to this post?

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Deep Learning Deep Learning Data Pipeline Computer Science 97

PyImageSearch

DECEMBER 29, 2022

The model must beat the current model’s F1 scores by 5% or more. Grooming is taking your product’s to-do list of work and transforming it into a product backlog. If you’d like to learn how to groom or refine your backlog so you’re ready for your Sprint, just keep reading. Here’s why.

Clustering 52

Clustering 52

Heartbeat

DECEMBER 22, 2023

They can retrieve and integrate real-time data from external systems through APIs, enabling them to provide up-to-date and accurate responses. Real-time Information: If your application requires access to real-time information or external systems through APIs, a conversational agent can facilitate the retrieval and integration of such data.

Data Science 52

Data Science Data Scientist Deep Learning Deep Learning 52

Flipboard

FEBRUARY 13, 2023

Project Structure Creating Our Configuration File Creating Our Data Pipeline Preprocessing Faces: Detection and Cropping Summary Citation Information Building a Dataset for Triplet Loss with Keras and TensorFlow In today’s tutorial, we will take the first step toward building our real-time face recognition application.

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PyImageSearch

JANUARY 2, 2023

This lesson is the 4th of a 5-lesson course on CV and DL for Industrial and Big Business Applications 102. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Towards AI

NOVEMBER 9, 2023

This article is part of a free course about Large Language Models available on GitHub. Although if you’re reading these lines, you probably already meet the requirements, I’ll remind you that it’s necessary to have: You will need an Azure subscription, which is free and comes with initial free credits if you sign up for the first time.

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Snorkel AI

MAY 10, 2023

William Huang is a senior data scientist at Capital One. He presented “Data and Manual Annotation Monitoring for Training Data Management” at Snorkel AI’s The Future of Data-Centric AI event in 2022. Today I’ll be talking about monitoring for training data maintenance and looking at manual annotation.

Data Science 52

Data Science Data Scientist AI AI 52

Snorkel AI

MAY 10, 2023

William Huang is a senior data scientist at Capital One. He presented “Data and Manual Annotation Monitoring for Training Data Management” at Snorkel AI’s The Future of Data-Centric AI event in 2022. Today I’ll be talking about monitoring for training data maintenance and looking at manual annotation.

Data Science 52

Data Science Data Scientist AI AI 52

PyImageSearch

APRIL 3, 2023

Jump Right To The Downloads Section Deploying a Custom Image Classifier on an OAK-D Introduction As a deep learning engineer or practitioner, you may be working in a team building a product that requires you to train deep learning models on a specific data modality (e.g., Looking for the source code to this post?

Deep Learning 64

Deep Learning Deep Learning AI AI 64

DrivenData Labs

MARCH 28, 2023

The Challenge ¶ “I believe that we are just at the beginning of the Earth Observation big data revolution. Joint effort and open science are the fundamental bricks to build new models and services for addressing societal challenges.” Let's see how the winners of this challenge bio-passed the test!

Machine Learning 130

Machine Learning Machine Learning Cross Validation Deep Learning 130

PyImageSearch

JANUARY 15, 2024

Home Table of Contents Adversarial Learning with Keras and TensorFlow (Part 2): Implementing the Neural Structured Learning (NSL) Framework and Building a Data Pipeline Adversarial Learning with NSL CIFAR-10 Dataset Configuring Your Development Environment Need Help Configuring Your Development Environment?

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Data Pipeline Deep Learning Deep Learning Computer Science 64

PyImageSearch

FEBRUARY 19, 2024

This lesson is the 3rd in a 6-part series on Gemini Pro: Introduction to Gemini Pro Vision Image Processing with Gemini Pro Image Classification with Gemini Pro (this tutorial) Lesson 4 Lesson 5 Lesson 6 To learn how to create image classification code in PyTorch using Gemini Pro and compare its performance with ChatGPT-3.5, vs. ChatGPT-3.5

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PyImageSearch

AUGUST 14, 2023

Figure 2: Product graph representing co-purchase and co-view relationships between products (source: Amazon Science ). Over the past decade, Amazon has become the first place to look for any product we want. Everyone who comes to amazon.com sees a different homepage personalized according to his interests and purchases.

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PyImageSearch

OCTOBER 2, 2023

While they can reconstruct input data effectively, they falter when generating new samples from the latent space unless specific points are manually chosen. Objective Functions of VAE Reparameterization Trick Configuring Your Development Environment Need Help Configuring Your Development Environment? Let’s get started!

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Deep Learning Deep Learning Clustering Computer Science 120