Analytics Vidhya

AUGUST 10, 2020

Introduction There are a lot of resources on the internet about finding insights and training models on machine learning datasets however very few articles. The post Building Sales Prediction Web Application using Machine Learning Dataset appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Machine Learning Analytics Analytics 400

Eugene Yan

AUGUST 8, 2020

Why (and why not) be more end-to-end, how to, and Stitch Fix and Netflix's experience

Data Scientist 130

Data Scientist 130

Christian Haschek

AUGUST 13, 2020

A few days ago my wife got a text message that was obviously a bad phishing attempt !

81

81

Kaggle

AUGUST 10, 2020

Halla Yang finished 2nd ahead of 1,191 other data scientists.

Data Scientist 72

Data Scientist Data Science Machine Learning Machine Learning 72

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

Analytics Vidhya

AUGUST 12, 2020

Overview The path to spread data science has been blazed by people determined to make the world a better place Here is a list. The post 10 Powerful YouTube Channels for Data Science Aspirants! appeared first on Analytics Vidhya.

Data Science 392

Data Science Analytics Analytics 392

Victor Zhou

AUGUST 8, 2020

Keras is a simple-to-use but powerful deep learning library for Python. This 3-post series, written for beginners, provides a simple way for anyone to get started solving real machine learning problems. We’ll start with an introduction to classic Neural Networks for complete beginners before delving into two popular variants: Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs).

Deep Learning 52

Deep Learning Deep Learning Python Machine Learning 52

Analytics Vidhya

AUGUST 13, 2020

Introduction The SimCLR paper explains how this framework benefits from larger models and larger batch sizes and can produce results comparable to those of. The post How to Reduce Computational Constraints using Momentum Contrast V2(Moco-v2) in PyTorch appeared first on Analytics Vidhya.

Analytics 387

Analytics Analytics Deep Learning Deep Learning 387

Analytics Vidhya

AUGUST 14, 2020

Introduction PDF or Portable Document File format is one of the most common file formats in today’s time. It is widely used across every. The post How to Extract tabular data from PDF document using Camelot in Python appeared first on Analytics Vidhya.

Python 382

Python Analytics Analytics 382

Analytics Vidhya

AUGUST 13, 2020

Overview Understand what is Categorical Data Encoding Learn different encoding techniques and when to use them Introduction The performance of a machine learning. The post Here’s All you Need to Know About Encoding Categorical Data (with Python code) appeared first on Analytics Vidhya.

Python 374

Python Machine Learning Machine Learning Analytics 374

Analytics Vidhya

AUGUST 11, 2020

Overview Understand image augmentation Learn Image Augmentation using Keras ImageDataGenerator Introduction When working with deep learning models, I have often found myself in. The post Image Augmentation on the fly using Keras ImageDataGenerator! appeared first on Analytics Vidhya.

Deep Learning 372

Deep Learning Deep Learning Analytics Analytics 372

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

Analytics Vidhya

AUGUST 9, 2020

Overview Learn about Information Retrieval (IR), Vector Space Models (VSM), and Mean Average Precision (MAP) Create a project on Information Retrieval using word2vec based. The post Information Retrieval using word2vec based Vector Space Model appeared first on Analytics Vidhya.

Analytics 318

Analytics Analytics Python 318

Analytics Vidhya

AUGUST 10, 2020

Overview Learn to interpret Bias and Variance in a given model. What is the difference between Bias and Variance? How to achieve Bias and. The post Bias and Variance in Machine Learning – A Fantastic Guide for Beginners! appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Machine Learning Analytics Analytics 307