Logo: 
Areas Served: 
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 » …
Jupyter Notebook for Data Science Coding Exercise
Author(s): Benjamin Obi Tayo Ph.D. Some coding challenge problems would specify that a formal project report be submitted together with a Jupyter notebook or R Script file Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Agent-Based Modeling in NetLogo
Author(s): Prabod Dunuwila Source Agent-based modeling is a simulation technique that focuses on building a model of a system with a collection of autonomous decision-making entities called agents. Each individual agent can make decisions based on a set of rules provided with …
Using ARKit to Develop Mobile Apps Powered by AI
Author(s): Victoria M. Programming The creation and development of mobile applications is a large and rapidly developing industry. In the past few years, it has been modified significantly due to the introduction of novel futuristic technologies. Augmented reality and AI have been …
8 Great Machine Learning Ideas You Can Start Developing Today
Author(s): Tommaso De Ponti Sharpen your Machine Learning skills by starting one of these Projects Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
TensorFlow Callbacks in Action
Author(s): Abhinav Prakash In layman terms, if I want to introduce callbacks, then it’s the controller by which you can control your plane. Without these controllers, you’re not having any control over the plane, and you’ll crash. Callbacks: from keras.io, a callback is …
Bayes’ Theorem Explained
Author(s): Benjamin Obi Tayo Ph.D. Bayes’ theorem is crucial for interpreting the results from binary classification algorithms, and a most know for aspiring data scientists Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Popular posts
Updates
Recent Posts
