Machine Learning

Data Types From A Machine Learning Perspective With Examples

Almost anything can be turned into DATA. Building a deep understanding of the different data types is a crucial prerequisite for doing Exploratory Data Analysis (EDA) and Feature Engineering for Machine Learning models. You…

Open Sourcing TransmogrifAI

Automated Machine Learning for Structured Data

Despite huge progress in machine learning over the past decade, building production-ready machine learning systems is still hard. Three years ago when we set out to build…

Data Visualization with Python and Seaborn — Part 1: Loading Datasets

Scatter matrix , Covariance and Correlation Explained

It is common among data science tasks to understand the relation between two variables.We mostly use the correlation to understand the relation between two variable.But often we also hear about scatter matrix (also scatter plot) and…

No Machine Learning in your product? Start here

Advice from the trenches of machine learning…

Redes Neurais com TensorFlow: primeiros passos

Em meu último artigo foi apresentada uma fundamentação teórica sobre como…

Machine Learning and Simulated Annealing

There’s no doubt you’ve heard of machine learning. It seems like every new tech company…

Deep Learning’s ‘Permanent Peak’ On Gartner’s Hype Cycle

Prophet Auto Selection with Cross-Validation

Prophet is an Automatic Forecasting Procedure available both on R and Python. It Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday…

AI-Powered Innovations That Are Transforming Dentistry

Deep Learning — An ELI5 Intro to Neural Networks

Role of Artificial Intelligence in Ecommerce

Role of Artificial Intelligence in E-Commerce Industry

Write for Analytics Vidhya

Analytics Vidhya is on a mission to create the next generation data science ecosystem. We aim to make data…

Intuition behind L1-L2 Regularization

Regularization is the process of making the prediction function fit the training data less…

Demystifying the Security of Blockchains

Security is a word we hear a lot, especially in conversations about blockchain. But when…

Tensorflow API - Custom Object Detection (Bahasa)

Machine Learning + Security: Still All Hype or a Real Concern?

An overview of Machine Learning & Security (“MLSec”)

3 Reasons Why the Pharma Supply Chain is Ripe for Digital Transformation

Classification, Sigmoid function

Forward

There many problems in machine learning area. Simply the problems can be classified into two categories, classification, and regression.

• predicting it is a cat, dog or some other animals by an image is the…

How Machine Learning Is Changing The Software Development Paradigm

Use Keras to build Convolutional Neural Network

The Need for Real-time Contextual Awareness in Enterprise Chatbots

Weekly Digest for Data Science and AI: Python and R (Volume 7)

Hello everyone! Happy to have you back, and welcome to Volume 7. This week, we have three great Python packages that have been trending…

Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson

Introduction to ensemble methods

TITANIC DATASET

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, the Titanic sank after…

IEEE’s camera identification challenge — different approach to teaming up

Using GCP AutoML Vision to Predict Firearm Make/Model from Ballistic Images

TensorFlow at the O’Reilly AI Conference

This fall, we’ve teamed up with Google Cloud and O’Reilly Media to present a full four…

Computer Vision Can Help Us Build a Safer, Securer Society

Sign Language and Static-Gesture Recognition

Gesture recognition is an open problem in the area of machine vision, a field of…

Installing Octave : On Ubuntu and Arch Linux for Stanford Machine Learning Course (the Andrew Ng Course)

Join AV Editor’s Club

Analytics Vidhya is on a mission to create next generation of data science ecosystem. We believe that the only way to do…

Builders gonna build.

Every single day this summer I’ve woken up with messages from friends about the crypto markets dying. People are…

A story of one Deep Learning paper

Couple of days ago I was intrigued by a paper with a very loud title: “Dropout is a special case of…

Alchemy of Artificial Intelligence, Mysteries of Backboxes, and Proximity to Kings

Gaming is a huge industry, and will be a huge market for AI

Simulants: A Synthetic Data System

Embracing the artificial

Feature Engineering for Time Series Analysis — ODSC East 2018

Baby Steps

Training a simple neural network on the QSAR Biodegradation Dataset

This short article traces the path I took to write, train, and test a neural network on data closely linked to chemical engineering. It is by no means a comprehensive…

Writing vectorized code in NumPy

This post is about writing vectorized NumPy code which can be much faster than naive implementation using explicit `for` loops. The basic idea of vectorization in NumPy is moving explicit slow Python `for` loops to much faster counterpart - `for` loops in C.

The Enterprise Strikes Back

by Arun Prakash

Competencia en Kaggle — Google AI Open Images — Detección de objetos

Quiero comenzar este artículo con la siguiente pregunta: ¿Puede una computadora describir una imagen de manera precisa?

Project Pinhole - Selling things via Image

An experiment using a camera to sell things as quickly as…

Notes and Reflections on CVPR 2018: An Industrial Perspective

CVPR (full name: International Conference on Computer Vision and Pattern Recognition) is the flagship conference in computer vision. In 2018, it has just been held in Salt Lake City from 06/18 to 06/22 with the record of…

Data Con LA — Who we are?

Data Con LA, formerly known as Big Data Day LA occured over the last weekend (08/11/2018). We were fortunate and…

3 things to read: Amazon’s power in DC, YC’s new China boss, and the insecure cloud(?!)

Image In → Defects Out. Automatic industrial defect detection with drones is now live

Hitchhiker's Guide to Artificial Intelligence

This article provides a quick overview on key aspects of…

Tracking machine learning models in R with MLflow

Interviewing Rael Cline, Co-Founder and CEO of MediaGamma — Key Takeaways

用JS做機器學習 Brain.js套件教學

如果單純用node

訓練三種不同的rgb，並且設定標籤是偏黑還是偏白

接下來就可以把訓練好的模型，去run一個新的rgb，就可以讓程式判斷是偏黑還是偏白

Advance regression techniques and importance ofFeature_importance_

Generate Solutions with Artificial Intelligence

Convolutional Neural Network: Notions & Applications

[PostTGE] Week 22: GraphGrail Ai — analytical system of crypto monitoring, new client and partnership.

Patrick Olden joins Fetch.AI as a Blockchain Research Engineer

Meet Austin Powell: Chatbots, Health, and Python

At PyBay2018, Austin will talk about building a chatbot in Python to have a conversation about health.

Fast.ai Style Transfer Net Model

Create Conv-ReLU-BN block which pads input tesnor such that output tensor of the block will have the same shape (height/width) as the input…

100 Days Of ML Code — Day 038

ML for Understanding Satellite Imagery at Scale with Kyle Story

TWiML Talk 173

Jual Parfum Cinta Coklat, Telp / Wa 0822 4069 7469, Menjual Parfum Coklat

Telp / Wa 0822 4069 7469, Jual Parfum Cinta Coklat, Menjual Parfum Coklat

Jual Parfum Cinta Coklat, Menjual Parfum…

Webography for 4 dummies to make it in machine learning — Chapter 25, Scene 2