Machine Learning

Improving Performance of Convolutional Neural Network!

Convolutional Neural Network — a pillar algorithm of deep learning — has been one of the most influential innovations in the field of computer vision. They have performed a lot better than traditional computer vision algorithms. These neural networks have proven to be…

Word Vectors in Natural Language Processing: Global Vectors (GloVe)

Ham or Spam? SMS Text Classification with Machine Learning

A Naive Bayes Implementation in R

How to Bring Keras Models onto Android with ZERO Knowledge of Tensorflow

Zillow Data Science Interview

Zillow lists data on 110 Million homes in their living database and 6.3…

Learn TensorFlow, the Word2Vec model, and the TSNE algorithm using rock bands

如何預測資料：迴歸模型的評估

以均方誤差作為評估依據

A computer program is said to learn from experience E with respect to some class of…

Six Data Science projects to top-up your skills and knowledge

If you’re looking to transition to a…

Deep Learning: Common Architectures

This post is designed to be an overview highlighting three of the most common deep learning…

The Rise of Intelligent and Data-Driven Venture Investing

VCs have brought very important innovations to the world, but there have been hardly any important innovations in the VC world, to name- ICOs, Crowdfunding, Venture builders, etc.

Overview of Transfer Learning in NLP — Contextual Word Vectors

A review of recent papers on transfer learning for a supervised target task.

Fingerprint Denoising and Inpainting using Fully Convolutional Networks

Introduction to Deep Learning: What do I need to know…?

What is Deep Learning?

Microservices at Unacademy

By Vaibhav Sinha

TensorFlow: A new paradigm for large scale ML in distributed systems

Introduction

Walkthrough: Getting started with Keras, using Kaggle

NLP at SnapTravel: Hotel search refinement using SpaCy entity recognition

What does an AI RFP need to contain?

We are kicking off a series of posts directed at partners to help them commercialize AI…

Deep learning to intervene where it counts

How we built a feedback loop to optimize learning nudges

Machine Learning Model: Logistic Regression

Suppose you just sat for your GRE exam (which is a standard test accepted by…

Modeling System Resource Usage for Predictive Scheduling

Power up your data with signal processing; a use case at the Intensive Care Unit

Mathematical Underpinnings: SVMs

In this, and subsequent, articles we are going to examine the mathematical underpinnings of support…

Is Venture Capital investment in AI Realistic or Out of Control?

Can AI solve the VAR headache?

Football has taken a number of successful steps forward in recent years, with the introduction of goal-line technology and vanishing spray. So why has video assisted refereeing (VAR) been so controversial from the start?

“Ridiculous and Shambolic”…

GSoC 2018: Generative Adversarial Networks in TMVA

Start Jupyter to work with Spark ML

In this post i.e. Part 1 of the series, I will cover how to setup and run Spark ML using Jupyter…

Spark ML Linear regression models and sample performance tuning

In the last post, I tried to describe the data loading part and extracted mappings to convert the categorical features to binary-encoded features!

85% of data science projects fail: แล้วเราควรทำอย่างไรดี?

ข้อคิดที่ได้จากงาน Blognone Tomorrow

Machine Learning Classificação de Imagens com Cloud Auto ML Vision

Aplicando Data Science na indústria

Desafios, datasets e comunidade no Kaggle

CASO DE USO: INVESTIGACIONES POST-EVENTO

El 17 de septiembre de 2016 se produjo una explosión en el barrio de Chelsea de…

A Style-Aware Content Loss for Real-time HD Style Transfer

Encoding categorical data

In many practical Data Science activities, the data set contains categorical variables.These variables are typically stored as text values which represent various traits.
 Examples :

La tua prima regressione

La regressione è uno dei due principali problemi dell’apprendimento supervisionato, la branca del machine learning…

Data loading and Categorical feature binary mapping

In this post, I will try to explain with an example of data loading and categorical feature binary mapping.

This dataset is inspired from below kaggle, as it simplified version of movie dataset.

Deep Social is MORE accurate at gender and age recognition than Microsoft & Amazon!

Determining the gender and age from a photo is no longer a novelty: there are many studies on this subject and many practical implementations have been developed that are available…

Softmax Function

Softmax function is used in various multi-class classification methods. Softmax function is a generalisation of logistic function (sigmoid function). Logistic function take a real number x as input and return a real number as output . The returned real number is in the range of (0, 1). Softmax…

Introducing ASTOR: Suggesting real estate management policies with Machine Learning

The Easy Guide: Data science techniques to use through the data cycle

Machine learning is the future. Here’s why your search should be using it right now.

Hydrocarbon exploration made easy with Artificial Intelligence

As per the oil market report of International Energy…

Machine learning team outsmarts 40 Ortec Finance employees in Tour de France competition

Receipt Information Extraction

Introduction

Learn Python with programming competitions. #1. Code Jam 2016. Counting Sheep

Project Spotlight: Best Friends

UW Blueprint is a student run club that provides top-tier tech for non-profit organizations. Founded at…

Recommender Systems: Exploring the Unknown Using Uncertainty

Matching Brussels municipalities with Ljubljana using Foursquare and ML

Regression, Mapping, Matrices Multiplication

Regression: The scalar value prediction problem

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

The Power of Healthcare Data and Why We Need Decentralization

“It is a capital mistake to theorize before one has…

Kebun Kurma Sleman, Telp / Wa 0822–4069–7469, Kebun Kavling Kurma Sleman

Telp / Wa 0822–4069–7469, Kebun Kurma Sleman, Kebun Kavling Kurma Sleman

Kebun Kurma Sleman, Kebun Kavling Kurma…

Can Computers See Outside the Box? — Realistic Image Outpainting Using GAN

How to use Artificial Intelligence to boost your image

How many times have you looked at your profile picture in LinkedIn and asked yourself, “What does this picture communicate about me?” “Is this the best profile picture of me?”, and again “What is my best profile picture for Facebook…

Approximation to Spectral Representation in Graph Convolutional Neural Network

My previous post on graph convolutional neural network reviews the basis of the graph Fourier transform for graph and its application in graph ConvNet. However, the eigenbases of the graph…

Industries ripe for more automation

Saw an Axios article over the weekend regarding industries that are having a hard time filling…

Guest Speaker Series: Jeff Friedsam, TruU

After a busy week trying to expand and wrap up our final projects, on Friday we gave a walkthrough of all our projects to a great line of guest speakers. Our last guest for the week was Jeff Friedsam, VP of Project Management at TruU, gave us a presentation…

LIME Can Make You Better at Machine Learning

LIME is a crucial machine learning tool that can tackle one of the biggest issues…

How will Chatbots affect the Online Retail Industry?

We are into the golden age of consumerism where customer engagement…

Is there any other algorithm for implementing decision tree.

Why Business Leaders are in need of Enterprise Mobility Solutions

Cost Function in ML

Its been a while since I started learning Data Science in Python, I have learnt to write scripts in python(not with ease, over time with practice). I keep hearing about this Cost Function and Cost Function Optimisation. Frankly, I didn’t need it so far, may be you wouldn’t too. You can even…

Week One Of Learning : AI Saturdays Nairobi

Week one was The most intense of all. The class was packed with eager participants. Introduction of a lot of concepts Such as machine learning and its different applications. Feeling ambitious we sought to finish the first three lectures of Coursera machine learning Diving right…

Kebun Kurma Tailan, Telp / Wa 0822–4069–7469, Kebun Kavling Kurma Thailand

Telp / Wa 0822–4069–7469, Kebun Kurma Tailan, Kebun Kavling Kurma Thailand

Kebun Kurma Tailan, Kebun Kavling Kurma…

Kebun Kurma Thailand, Telp / Wa 0822–4069–7469, Kebun Kavling Kurma Thailand

Telp / Wa 0822–4069–7469, Kebun Kurma Thailand, Kebun Kavling Kurma Thailand

Kebun Kurma Thailand, Kebun…

Neural Networks

Neural networks are the mechanics behind how machine learning (or deep learning works). Instead of an engineer having to instruct a machine on exactly what to do, they make it possible for software to learn to from input it is receiving and come up with responses on its on. Some common use cases are…

100 Days Of ML Code — Day 036

Second steps: AI Saturday Nairobi

As usual this week we had our usual meetup at ONA.io in Nairobi, Kenya. Being our second meetup we were excited to dive into hand-on work with understanding our tools. Apart from further exploring linear regression and linear algebra with python. The beginner class had…

Artificial Intelligence and Machine Learning: How these are Impacting Small Businesses?

Last month, I was discussing with one of my customers. During the discussion, I found that Cloud and SaaS applications have changed the business landscape and helping Business…

Supervised Learning: K-nearest Neighbourhood Part 1

Let’s introduce the topic by work through an…

Artificial intelligence platform screens for acute neurological illnesses

How Data Analytics And Artificial Intelligence Are Changing The Pharmaceutical Industry

How Data Analytics And Artificial Intelligence Are Changing The Pharmaceutical Industry

13.08.2018 Experiment Reports

Some experiments I ran in Jupyter Notebook in approaching the dataset I was given for my internship. This gave me a much better understanding of how different classifiers work with data.

Guide To Machine Learning For Application and Cyber Security

Generating Ground-Level Images From Overhead Imagery Using GANs w/ Yi Zhu

TWiML Talk 172

Online Course List

Machine Learning

Google Machine Learning Crash Course

Advantages of Artificial Intelligence for businesses

Lowered risk

Webography for 4 dummies to make it in machine learning — Chapter 25, Scene 1