Understanding Bias in the Simplest Plausible Way
Author(s): Anirudh Dayma I have recently started exploring Neural networks, and I came across the term activation function and biases. Activation function kinda made some sense to me, but I found it difficult to get the exact essence of biases in Neural …
The Fibonacci Sequence: An Algorithm for Perfection
Author(s): Michelangiolo Mazzeschi Fibonacci Series Explained Easily Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
10 Technology Courses to Broaden Your Skillset
Author(s): Benjamin Obi Tayo Ph.D. Massive open online courses and specializations from top universities on in-demand tech fields such as data science, business analytics &… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
26 Words About Neural Networks, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Artificial Intelligence Think you can explain these? Put your knowledge to the test! Source: NeedPix [This is the 6th part of a series. Make sure you read about Search, Knowledge, Uncertainty, Optimization, and Machine Learning before continuing. The next topic …
Towards an AI for Rock, Paper, Scissors
Author(s): Benjamin Peterson Rock, Paper, Scissors — a promising area for AI research, but not yet an Olympic sport. Rock Paper Scissors (RPS) is a decidedly non-trivial game with a fascinating strategy. Here I present a simple RPS AI with code and some high-level …
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 …
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 …
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 …
Text Mining in Python: Steps and Examples
Author(s): Dhilip Subramanian In today’s scenario, one way of people’s success is identified by how they are communicating and sharing information with others. That’s where the concepts of language come into the picture. However, there are many languages in the world. Each …
Why is the Progression of Japan’s AI Slow?
From a global point of view, the country leaders progressing in AI are the US and China, yet what about the next Asian tiger? Japan is struggling with implementing AI, machine learning, and deep learning technology advancements to the business world. Which …
Machine Learning (ML) vs. Artificial Intelligence (AI)—Crucial Differences
Machine Learning Open License — Image Credits: IoT World Today Unfortunately, some tech organizations are deceiving customers by proclaiming to use machine learning (ML) and artificial intelligence (AI) on their technologies while not being clear about their products’ limits. Helping Scale AI & Technology Startups …
Artificial Intelligence (AI): Salaries Heading Skyward
While the average salary for a Software Engineer is around $100,000 to $150,000, to make the big bucks you want to be an AI or Machine Learning (Specialist/Scientist/Engineer.) Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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