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The rise of Artificial Intelligence (AI), Big Data, and new advancements in Machine learning in diverse applications such as image recognition, neural network, speech recognition, natural language processing (NLP), computer vision, object detection have accelerated the growth of Artificial Intelligence that now, what used to be science fiction is a scientific fact.

This article will explain what exactly Machine learning and Artificial Intelligence is and how we can harness the power of both to improve the world around us.

Introduction to Machine Learning


A BREAKTHROUGH IN MACHINE LEARNING IN 2021

Curated from hundreds of high-quality ML research papers, these are the ones that stood out the most.

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Important Machine Learning and Deep Learning Papers in 2021

Machine Learning suddenly became one of the most critical domains of Computer Science and just about anything related to Artificial Intelligence.

Every company is applying Machine Learning and developing products that take advantage of this domain to solve their problems more efficiently.

Every year, 1000s of research papers related to Machine Learning are published in popular publications like NeurIPS, ICML, ICLR, ACL, and MLDS.

The criteria are using citation counts from three academic sources: scholar.google.com; academic.microsoft.com; and semanticscholar.org.

“Key research papers in natural language processing, conversational AI, computer vision, reinforcement learning


Integrate Weights and Biases into your Machine Learning Projects

Monitor Machine Learning
Monitor Machine Learning
Actual photo of me looking at the W&B Dashboard

Introduction

This involved saving and moving the model weights once the training is completed to a folder named ‘savedmodels’. Since I was performing multiple training at once, I also had to keep track of the config files used in each training so that I don't replicate the training that has already been done. This was a mess.

This eventually made me search for Machine Learning…


ADVANCEMENTS IN MACHINE LEARNING in 2021

These papers help us to keep up to date with the latest advancements in the world of AI.

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Machine Learning suddenly became one of the most critical domains of Computer Science and just about anything related to Artificial Intelligence. Every company is applying Machine Learning and developing products that take advantage of this domain to solve their problems more efficiently.

“Key research papers in natural language processing, conversational AI, computer vision, reinforcement learning, and AI ethics are published yearly”

The area of Machine Learning has far-reaching applications from the text, audio, image, video to supervised and reinforcement learning. In this article, I have listed three novel Machine Learning articles that made a breakthrough in this field.

Single Headed Attention RNN: Stop Thinking With Your Head


What is precisely an activation function, and how do you apply it?

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Neural networks are formed in three layers which are described below:

Input Layer

Passive layers that relays the same information from a single node to multiple outputs. This is the first point of entry for the Neural Network.

Hidden Layer

Performs mathematical computations on the inputs and produce a net input which is then applied with activation functions to produce the output. Usually, this layer is treated as a black box and much smaller than other layers.

Output Layer

Coalesces and concretely produces the output result from the complex computations from the previous layers.

Most neural network is formed in three layers, as stated above. Let’s…


DATA SCIENCE MISCONCEPTIONS

Are these the typical responses you get when talking about Data Science to others?

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In the past years, Data Science has transformed its way into all parts of society from travel, banking, entertainment, etc. Data Science delivers robust and actionable insights from the intelligently mined data to add value to the particular environment it is being applied.

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” — Geoffrey Moore

However, there are challenging issues that fellow Data Scientist has to face — from understanding complex algorithms, processing tons of data to managing and delivering expectations in a business environment. …


MACHINE LEARNING ALGORITHMS

Learning These Basic Algorithms Can Enhance Your Understanding and Skills

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Machine learning (ML) is a method of data analysis that automates analytical model building. It is a branch of technology that allows computer systems to learn from vast amounts of data, identify patterns within images and text and make statistical decisions with minimal human intervention.

At its most basic, Machine Learning uses pre-programmed algorithms that receive and analyze input data to predict output values within an acceptable range. As new data is fed to these algorithms, they learn and optimize their operations to improve performance, developing ‘intelligence’ over time.

Choosing the right Machine Learning algorithm depends on several factors such…


This GitHub Repository Has Over 110k Popular Algorithms + Open Source!

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Algorithms — What are they?

In its purest sense, an algorithm is a mathematical process to solve a problem using a finite number of steps. In the world of computers, an algorithm is the set of instructions that defines not just what needs to be done but how to do it.

Still don't understand? Think of it something like this: An algorithm is essentially a recipe for a cake. There are many ways to bake a cake, but by following a recipe, a person knows when to first preheat the oven, then measure out the flour, add butter, flavouring and so…


Disruption of Robo Advisory

A deep dive into how it handles your cash

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The Rise of The Robots

According to Kiplinger, Robo-adviser firms have seen 3 times the digit growth from 2012 to 2019 and Cerulli associated reported robo investment has $60 billion in assets and could quickly amass up to 385 billion in the next 5 years. This is truly outstanding.

During the 2008 financial crisis, investors were burnt by considerable losses in the stock market, pushing them to put their wealth into passive investment vehicles that generate returns with the least amount of work. …


Impress Your Hiring Manager With Impactful Projects

Exposing you to a variety of different real-world issues and how to solve them.

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In 2020, if you are looking to jump into the Data Science and Machine Learning industry, an educational profile is just not enough. Recruiters and hiring managers want to see that real hours have been put into solving real-world problems that could possibly make an impact on the business and the world. Nowadays, the business world leverages data science for a wide variety of purposes — Finance, Retail, Manufacturing, Transportation, etc. Possessing both the technical and actual practical skills is one of the most important criteria that sets you apart from other data scientists. You must be able to understand…

Prem Kumar

Machine Learning Engineer at Wise AI (Face Recognition and eKYC) | Livelong Student

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