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Key Machine Learning Definitions
Author(s): Roberto Iriondo Originally published on Towards AI. Machine Learning Source: Pexels Below please find a searchable glossary of terms that are relevant to the scientific field of machine learning — on ongoing growth. This glossary is by no means complete. If …
Key Machine Learning Definitions
Glossary of the most used definitions in machine learning Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
30+ Data Science Interview Questions from FAANG Tech Giants
Author(s): Terence S In-depth Interview Q&A from Facebook, Amazon, Apple, Netflix, and Google Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
NLP News Cypher | 05.17.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Sherly Tay on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 05.17.20 Oasis You may have heard, Elon Musk isn’t very happy. And it didn’t help when the Head …
Asia Leading in AI Business Deployment, Personalized Prediction to Combat COVID-19
Author(s): David Yakobovitch Voice-enabled Programs and Artificial Intelligence Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Create a Dataset for Object Detection
Author(s): Pushkar Pushp Originally published on Towards AI. Computer Vision Create a Dataset for Object Detection Source: Unsplash Introduction The first step for most computer vision tasks such as classification, segmentation, or detection is to have custom data for your problem set. …
Combine datasets using Pandas merge(), join(), concat() and append()
Author(s): Vivek Chaudhary Source: Pexels In the world of Data Bases, Joins and Unions are the most critical and frequently performed operations. Almost every other query is an amalgamation of either a join or a union. Using Pandas we perform similar kinds …
4 Pathways to Data Science
Author(s): Benjamin Obi Tayo Ph.D. It is never too late to jump into data. These pathways can help you gain the essential skills for data science practice. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Use Machine Learning in Bioinformatics Research Part 2
Author(s): Roland Hewage Bioinformatics is a combination of many fields. I was doing my undergraduate research on BioInformatics and I had a great passion for… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Data Scientists are Dangerous
Author(s): Dan Lester How data scientists’ priorities and workflows may be the biggest data security threat to your organisation Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
26 Words About Machine Learning, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Artificial Intelligence Do you think you can explain these? Put your knowledge to the test! [This is the 5th part of a series. Make sure you read about Search, Knowledge, Uncertainty, and Optimization before continuing. The next topics are Neural …
The Rome Call for AI Ethics
Author(s): Ygor Rebouças Serpa When the Pope, Microsoft, and IBM joined forces to list six-principles for an ethical AI Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
6 Most Popular Google Products Killed By Google Itself
Author(s): Siddhesh Jadhav The detailed reasoning behind Google discontinuing its own apps Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Getting Started with Kaggle Competitions Using Monk AI
Author(s): sinchana S.R Deep Learning Monk is a low code deep learning tool and a suitable wrapper for computer vision. Monk Features Low-code. Unified wrapper over major deep learning framework s — Keras, PyTorch, gluoncv. Syntax invariant wrapper. Monk Enables To create, manage, and version control …
Google Stock Predictions using an LSTM Neural Network
Author(s): Michelangiolo Mazzeschi Time-series is a data format that is very tough to manage. Compared to cross-sectional data, a data format to which you can directly apply machine learning algorithms without preparing the data… Continue reading on Towards AI — Multidisciplinary Science Journal » …
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