Towards AI

AUGUST 24, 2023

Common mistakes and misconceptions about learning AI/ML Markus Spiske on Unsplash A common misconception of beginners is that they can learn AI/ML from a few tutorials that implement the latest algorithms, so I thought I would share some notes and advice on learning AI. Trying to learn AI from research papers.

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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.

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PyImageSearch

MAY 8, 2023

Home Table of Contents Introduction to Causality in Machine Learning Correlation and Causation Case Study 1: A “Marvelous” Problem Scenario 1: A Direct Cause Scenario 2: Reversing the Cause and Effect Scenario 3: Investigating a Hidden Cause Causal Thinking Case Study 2: Food App Conundrum Quiz Time! Let’s find out.

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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. One of the biggest challenges that students face after clearing college is to find the right learning platform. Lakhs to ₹ 11.0

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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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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

Its universal appeal extends to both novices, without any prior programming experience, and adept developers eager to augment their skills. 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.

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PyImageSearch

FEBRUARY 6, 2023

Validation Testing Classification Report Sample Test Set Predictions Summary Citation Information Training a Custom Image Classification Network for OAK-D In this tutorial, you will learn to train a custom image classification network for OAK-D using the TensorFlow framework. tomato, brinjal, and bottle gourd).

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PyImageSearch

MARCH 20, 2023

We discussed how it could be used to learn an embedding space where “similar faces” (i.e., We discussed how it could be used to learn an embedding space where “similar faces” (i.e., In this tutorial, we will take this further and learn how to train our face recognition model using Keras and TensorFlow.

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DrivenData Labs

JANUARY 11, 2023

The results of this GCMS challenge could not only support NASA scientists to more quickly analyze data, but is also a proof-of-concept of the use of data science and machine learning techniques on complex GCMS data for future missions. The NASA Mars Curiosity rover.

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PyImageSearch

JANUARY 30, 2023

In emerging markets, AI has the potential to provide affordable post-secondary education, make learning exciting and fun, and make the content personalized to individual students’ needs. This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector.

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PyImageSearch

FEBRUARY 20, 2023

Table of Contents Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? Jump Right To The Downloads Section Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? What Is JAX? autograd XLA ? ⬇️ Import JAX ?

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PyImageSearch

JANUARY 9, 2023

We will start by loading the Labeled faces in the wild data and prepare for our face recognition application. To learn how to develop Face Recognition applications using Siamese Networks, just keep reading. Looking for the source code to this post?

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Tableau

OCTOBER 6, 2021

The academic and professional worlds may not always be on the same page when it comes to equipping the incoming workforce with data skills. As the data shows us, there’s room for improvement in closing the data literacy gap. Lesson #2: Take time to learn. Lesson #1: Build on the basics . Gabby Isaguirre .

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Tableau

OCTOBER 6, 2021

The academic and professional worlds may not always be on the same page when it comes to equipping the incoming workforce with data skills. As the data shows us, there’s room for improvement in closing the data literacy gap. Lesson #2: Take time to learn. Lesson #1: Build on the basics. Gabby Isaguirre. Sravya Balasa.

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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? This tutorial is primarily for developers who want to accelerate their deep learning models with PyTorch 2.0.

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DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., Your access to DataRobot AIX is free with just a quick registration. Explore nine great reasons to join DataRobot AIX 2022.

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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?

Deep Learning 97

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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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Pickl AI

NOVEMBER 8, 2023

Python’s data analysis and visualization libraries, such as Pandas and Matplotlib, empower Data Scientists and analysts to derive valuable insights. It excels in Machine Learning and Artificial Intelligence with libraries like TensorFlow and Scikit-learn. A Python developer gets ₹5,00000 per year in India.

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Explosion

DECEMBER 30, 2021

Jan 19: The new year started with the Portuguese translation of our free spaCy online course: PLN avançado com spaCy. Jan 22: Ines was invited as a guest to the TalkPython podcast and discussed how to build a data science startup. Apr 30: Later that month, Ines joined the Snorkel Science Talks.

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. This lesson is the 4th of a 5-lesson course on CV and DL for Industrial and Big Business Applications 102. These investments range from digital diagnosis to clinician decision support to precision medicine.

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Heartbeat

DECEMBER 14, 2023

Want to learn how to build modern software with LLMs using the newest tools and techniques in the field? Check out this free LLMOps course from industry expert Elvis Saravia of DAIR.AI! An Agent with Memory is different from a Chain with Memory regarding functionality.

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Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. You can use the below resources for creating your data.

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Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. What is the Data Fabric? I will define this later as the “Data Product.”

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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?

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Heartbeat

DECEMBER 8, 2023

Agents can be used for applications such as personal assistants, question answering, chatbots, querying tabular data, interacting with APIs, extraction, summarization, and evaluation. Want to learn how to build modern software with LLMs using the newest tools and techniques in the field? A selection of agents to choose from.

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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!

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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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PyImageSearch

OCTOBER 2, 2023

Jump Right To The Downloads Section A Deep Dive into Variational Autoencoder with PyTorch Introduction Deep learning has achieved remarkable success in supervised tasks, especially in image recognition. In our previous tutorial on autoencoders , we learned that they are not inherently generative. Let’s get started!

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PyImageSearch

FEBRUARY 19, 2024

vs. Gemini Pro for Image Classification Summary and Key Takeaways Citation Information Image Classification with Gemini Pro In this tutorial, you’ll learn how to use the Gemini Pro generative model with the Google AI Python SDK (software development kit) to generate code for image classification in PyTorch. vs. ChatGPT-3.5

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PyImageSearch

AUGUST 14, 2023

This lesson is the 1st in a 3-part series on Deep Dive into Popular Recommendation Engines 102 : Amazon Product Recommendation Systems (this tutorial) YouTube Video Recommendation Systems Spotify Music Recommendation Systems To learn how the Amazon recommender systems work, just keep reading. toothpaste, diapers, etc.)

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Flipboard

MARCH 27, 2023

It has provided some of the best abstractions for distributed training, data loading, and automatic differentiation. In this series, you will learn about Accelerating Deep Learning Models with PyTorch 2.0. TorchDynamo and TorchInductor To learn what’s new in PyTorch 2.0, to the most recent version, 1.13.

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Dataconomy

APRIL 3, 2023

In this article, we will explain GPT5 release date rumors, its expected features, and of course, AGI meaning that everyone talks about it. In this article, we will explain GPT5 release date rumors, its expected features, and of course, AGI meaning that everyone talks about it. Are you ready to sneak peek at the future of ChatGPT?

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Flipboard

JULY 10, 2023

Dimensionality Reduction Feature Learning Anomaly Detection Denoising Images Image Inpainting Generative Modeling Recommender Systems Sequence-to-Sequence Learning Image Segmentation How Are Autoencoders Different from GANs? Home Table of Contents Introduction to Autoencoders What Are Autoencoders?

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Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. We think the best datasets are available for free on Roboflow. After you create a free account, you’ll have access to the best machine learning datasets. Importance and Role of Datasets in Machine Learning Data is king.

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PyImageSearch

FEBRUARY 5, 2024

Introduction to Model Evaluation in Face Recognition In this tutorial, we will take this further and learn how to evaluate our trained model using Keras and TensorFlow. We will discuss and understand the different metrics (i.e., Also, we implemented the procedure and code to train our Siamese network based model end-to-end.

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