Translate Pictures of Food into Recipes with Deep Learning

Food Image Recognition System for Cooking Recipe Retrieval with Python | Continue reading


@towardsdatascience.com | 6 years ago

Busting Silos by Building AI Products

The heart of agile culture beats strongly in startups and smaller companies, but not so much at larger organizations due to their… | Continue reading


@towardsdatascience.com | 6 years ago

Artificial Intelligence meets Art: Neural transfer style

Introduction | Continue reading


@towardsdatascience.com | 6 years ago

Five Lessons from the First Three Years of Michelangelo: Uber Way of ML

Uber has been one of the most active contributors to open source machine learning technologies in the last few years. While companies like… | Continue reading


@towardsdatascience.com | 6 years ago

Doing Machine Learning the Uber Way: Lessons from Michelangelo

Uber has been one of the most active contributors to open source machine learning technologies in the last few years. While companies like… | Continue reading


@towardsdatascience.com | 6 years ago

How new grads can profit from a Data Science Mentor

Young university grads — or every new career starter for that purpose — often feel overwhelmed by the many options that there are after… | Continue reading


@towardsdatascience.com | 6 years ago

Using lstms for stock market predictions tensorflow

In this tutorial, you will see how you can use a time-series model known as Long Short-Term Memory. LSTM models are powerful, especially… | Continue reading


@towardsdatascience.com | 6 years ago

Automating Data Science: Feature Engineering

Predicting which NHL games are playoff matches using Python and the FeatureTools library. | Continue reading


@towardsdatascience.com | 6 years ago

Tic Tac Toe – Creating Unbeatable AI with Minimax Algorithm

In today’s article, I am going to show you how to create an unbeatable AI agent that plays the classic Tic Tac Toe game. You will learn… | Continue reading


@towardsdatascience.com | 6 years ago

OpenAI Teaches Agents to Learn Concepts from Experience

The ability to generalize concepts from experience is one of the foundational hallmarks of human intelligence. Since we are babies, we are… | Continue reading


@towardsdatascience.com | 6 years ago

Advanced Sports Visualization with Pandas, Matplotlib and Seaborn

“The greatest value of a picture is when it forces us to notice what we never expected to see.” | Continue reading


@towardsdatascience.com | 6 years ago

2048 – Solving 2048 with Monte-Carlo Tree Search (MCTS) AI

In today’s article, I am going to show you how to solve the famous 2048 game with Artificial Intelligence. You will learn the essentials… | Continue reading


@towardsdatascience.com | 6 years ago

Tracking street art with machine learning

Prior to this project’s incarnation, I had thought it would be possible to build out street art centered object detection models. | Continue reading


@towardsdatascience.com | 6 years ago

Password Cracker – Generating Passwords with Recurrent Neural Networks (LSTMs)

In today’s article, I am going to show you how to exploit Recurrent Neural Networks (LSTMs) for password cracking. I will demonstrate you… | Continue reading


@towardsdatascience.com | 6 years ago

Hyper-Parameter Selection and Tuning for Convolutional Neural Networks

Intro | Continue reading


@towardsdatascience.com | 6 years ago

Text Predictor – Generating Rap Lyrics with Recurrent Neural Networks (LSTMs)

In today’s article, I am going to introduce you to the topic of Recurrent Neural Networks (RNNs), which will allow us to train agents that… | Continue reading


@towardsdatascience.com | 6 years ago

Slitherin – Solving the Classic Game of Snake with AI (Part 3/3)

Welcome to Part 3 of the Slitherin - Solving the classic game of Snake🐍 with AI🤖 project! If you missed Part 1, or Part 2 don’t hesitate… | Continue reading


@towardsdatascience.com | 6 years ago

Slitherin – Solving the Classic Game of Snake with AI (Part 2/3)

Welcome to Part 2 of the Slitherin - Solving the classic game of Snake🐍 with AI🤖 project! If you missed Part 1, don’t hesitate to check… | Continue reading


@towardsdatascience.com | 6 years ago

Atari – Reinforcement Learning in Depth (Part 1: DDQN)

In today’s article, I am going to show you how to implement one of the most groundbreaking Reinforcement Learning algorithms - DDQN… | Continue reading


@towardsdatascience.com | 6 years ago

Cartpole – Introduction to Reinforcement Learning (DQN – Deep Q-Learning)

In today’s article, I am going to introduce you to the hot topic of Reinforcement Learning. After this post, you will be able to create an… | Continue reading


@towardsdatascience.com | 6 years ago

Slitherin – Solving the Classic Game of Snake with AI (Part 1/3)

In today’s article, I am going to show you various approaches to solving the classic game of Snake with Artificial Intelligence. After the… | Continue reading


@towardsdatascience.com | 6 years ago

ELMo helps to further improve your sentence embeddings

Embeddings from Language Models (ELMo) | Continue reading


@towardsdatascience.com | 6 years ago

Python PyPI Stats in BigQuery: Reclustered

Let’s dig into raw logs of Python installation activities. In this post we’ll see how to measure a package’s popularity, which Python… | Continue reading


@towardsdatascience.com | 6 years ago

How to Highlight 3D Brain Regions

Recently, I was reading Howard et. al., (2018) “Genome-wide meta-analysis of depression in 807,553 individuals identifies 102 independent… | Continue reading


@towardsdatascience.com | 6 years ago

Ask Me Anything Session with a Kaggle Grandmaster Vladimir I. Iglovikov

Hello, my name is Vladimir. | Continue reading


@towardsdatascience.com | 6 years ago

4 Common Pitfalls of Neural NLP

TLDR; | Continue reading


@towardsdatascience.com | 6 years ago

Get a 2–6x speed-up on your data pre-processing with Python

Get a 2–6x speed-up on your pre-processing with these 3 lines of code! | Continue reading


@towardsdatascience.com | 6 years ago

Here’s how you can get a 2–6x speed-up on your data pre-processing with Python

Get a 2–6x speed-up on your pre-processing with these 3 lines of code! | Continue reading


@towardsdatascience.com | 6 years ago

Visualization of airport flights data

“If you graph these numbers, patterns emerge. There are patterns everywhere in nature.” | Continue reading


@towardsdatascience.com | 6 years ago

Introducing ReviewNB: Visual Diff for Jupyter Notebooks

I’m happy to announce ReviewNB, a tool for version controlling Jupyter Notebooks. You can see visual diff for Jupyter notebooks on… | Continue reading


@towardsdatascience.com | 6 years ago

How to handle performance issues with deep learning using engineering

So you just finished designing that great neural network architecture. But how do you handle the fact it is slow? | Continue reading


@towardsdatascience.com | 6 years ago

Machine Learning Basics with the K-Nearest Neighbors Algorithm

The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve… | Continue reading


@towardsdatascience.com | 6 years ago

A Tour of the Top Algorithms for Machine Learning Newbies

In machine learning, there’s something called the “No Free Lunch” theorem. In a nutshell, it states that no one algorithm works best for… | Continue reading


@towardsdatascience.com | 6 years ago

Where to train deep learning models online for the lowest cost and least hassle

Where to train deep learning models online for the lowest cost and least hassle | Continue reading


@towardsdatascience.com | 6 years ago

Increasing Solar adoption in the developing world via Machine Learning

The work is done by Jatinder Singh (also co-authored this article) and Iresh Mishra. Also thanks to Saurabh Singh for his guidance. | Continue reading


@towardsdatascience.com | 6 years ago

The Data Science of K-Pop: Understanding BTS Through Data and A.I

Making sense of the BTS craze through Data Science. | Continue reading


@towardsdatascience.com | 6 years ago

AI Aids Eyes:A computer vision system to remind operators to wear safety glasses

When the system detects that a drill is picked up, it will automatically issue a safety glasses warning. To represent the presence of the safety glasses warnings, the border of the RGB image is… | Continue reading


@towardsdatascience.com | 6 years ago

Extracting Business Value from Machine Learning

Why fancier isn’t always better | Continue reading


@towardsdatascience.com | 6 years ago

List of deep learning cloud service providers. Who's missing?

There are lots of places to rent your GPUs these days. I made a list of every cloud provider with GPUs I could find because I couldn’t… | Continue reading


@towardsdatascience.com | 6 years ago

Deploying machine learning models with GraphPipe

An overview of deploying PyTorch models with the new, super-fast model deployment framework GraphPipe. | Continue reading


@towardsdatascience.com | 6 years ago

Current State in Machine Learning OCR (Optical Character Recognition)

How and why to apply deep learning to Optical Character Recognition | Continue reading


@towardsdatascience.com | 6 years ago

The economics of investing in yourself (for data scientists)

I still remember the moment my brother decided to sell his bitcoin. It was 2017, and we were at a Starbucks. We were approached by a… | Continue reading


@towardsdatascience.com | 6 years ago

The Algorithm That Turned Politics Upside Down

Excel file reveals the Data Science behind the Facebook/Cambridge Analytica Scandal | Continue reading


@towardsdatascience.com | 6 years ago

Will Models Rule the World?

The Data Science Salon is returning to Miami on November 6–7, and we’re excited to show you our impressive lineup of speakers in AI an ML. | Continue reading


@towardsdatascience.com | 6 years ago

NLP Primer from Bag of Words to BERT

A primer in the neural nlp model archticture and word representation. | Continue reading


@towardsdatascience.com | 6 years ago

Machine Learning Trends from World Summit AI Amsterdam

Recent trends from the World Summit AI: AI fairness, explainable machine learning, democratization of AI, AI for good | Continue reading


@towardsdatascience.com | 6 years ago

Data Science for Startups: PySpark

Part four of my data science for startups series now focused on Python. | Continue reading


@towardsdatascience.com | 6 years ago

An Unintuitive Take on Data Augmentation for Self-Driving Cars

DeepScale is constantly looking for ways to boost the performance of our object detection models. In this post, I’ll discuss one project… | Continue reading


@towardsdatascience.com | 6 years ago