The Role of Data Structures and Algorithms in Software Development
Smart Data Collective
APRIL 15, 2024
Explore how data structures and algorithms power software development. Learn key concepts and best practices for efficient coding.
Algorithms 
How do you Market to a fridge? With an Algorithm Whisperer…
Timo Elliott
APRIL 8, 2024
That already means that you’re at the mercy of the search algorithms that decide or not to show your content to prospects. And the “prospect” may not even be a person: it could be an AI agent or algorithm that has been delegated the task of finding the best product for the need. How will that be possible?
Retail 
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AI Tools Make Short-Selling Possible with Algorithmic Trading
Smart Data Collective
OCTOBER 16, 2022
AI technology has helped investors make automated trades with algorithmic trading. Algorithmic trading for short-selling with AI Technology. But, there’s another way to do it, which is algorithmic trading which relies on AI algorithms. Algorithmic trading short-selling solutions. from 2022 to 2027.
The Tyranny of the Algorithm
BA Times
AUGUST 16, 2023
using PDFs documents with multiple pages, […] The post The Tyranny of the Algorithm appeared first on Business Analyst Articles, Webinars, Templates, Jobs. Rather than writing in sentences and paragraphs, everything would be written in this weird separated way with everything spaced out in a really unnatural way.
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DirectX Visualization Optimizes Analytics Algorithmic Traders
Smart Data Collective
FEBRUARY 9, 2022
Using the DirectX analytics interface can enable you to pick out important trading insights and points, which simplifies algorithmic trading. For example, when your trading algorithm makes losses or a particular threshold or condition is met. Let’s say for a few weeks or several months to determine the times it was underachieving.
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Algorithmic Trading Communities Show the Benefits of AI
Smart Data Collective
AUGUST 1, 2022
However, some have started using AI to automate many trading decisions with algorithmic trading. Algorithmic trading refers to a method of trading based on pre-programmed instructions fed to a computer. The AI algorithms that it uses can identify trading opportunities most humans would have missed. from 2022 to 2027.
AI Technology Leads to Impressive Benefits with Algorithmic Trading
Smart Data Collective
APRIL 3, 2022
One of the ways to make money through the use of AI technology is with algorithmic trading. What is algorithmic trading? One such avenue for making money is algorithmic trading. Automated trading (also known as “algorithmic trading”) works by using AI algorithms to perform trades. Advantages.
Kadane's Algorithm: The Ideal Frontier of Subarray Problems | Simplilearn
Simplilearn
NOVEMBER 17, 2023
Kadane's Algorithm is a dynamic programming technique used to find the maximum subarray sum within a given array of numbers. Named after its inventor, Jay Kadane, this elegant Algorithm has applications in various domains, from computer science and data analysis to finance and image processing.
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How Genetic Algorithms and Machine Learning Apply to Investments
Smart Data Collective
OCTOBER 8, 2021
Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Genetic algorithm use case. As well as bolster investor confidence and improve profitability. Final thoughts.
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Best AI Tools for High-Frequency Algorithmic Trading
Smart Data Collective
SEPTEMBER 14, 2022
Despite going through fluctuations over the last decade, high-frequency algorithmic trading (HFT) remains popular on the market. What Is High-Frequency Algorithmic Trading and How Does AI Help? It utilizes programs that constantly monitor the market and make split-second trading decisions based on an algorithmic approach.
Local Search Algorithms in AI: A Comprehensive Guide | Simplilearn
Simplilearn
SEPTEMBER 25, 2023
One crucial aspect of AI is local search algorithms, which play a significant role in finding optimal solutions in various domains. In this article, we will delve into the concept of local search in AI, its workings, different algorithms, and its prac. Read More.
Expert Insights on Using Financial Analytics with Algorithmic Trading
Smart Data Collective
JUNE 8, 2022
They have been a successful algorithmic trader for the past 17 months. This trader never imagined that their life would be completely transformed by becoming an algorithmic trader. What is algorithmic trading and what role does data analytics play? This automated trading with rule-based trading bots is algorithmic trading.
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Top 10 Machine Learning (ML) Algorithms You Should Know in 2021 | Simplilearn
Simplilearn
MARCH 2, 2021
Machine Learning algorithms can help computers play chess, perform surgeries, and get smarter and more personal. In a world where nearly all manual tasks are being automated, the definition of manual is changing.
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A* Algorithm Concepts and Implementation in Python | Simplilearn
Simplilearn
JULY 26, 2021
Search algorithms are algorithms designed to search for or retrieve elements from a data structure, where they are stored. A vital aspect of search algorithms is Path Finding, which is used to find paths that can be taken to traverse from one poi.
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What is XGBoost? An Introduction to XGBoost Algorithm in Machine Learning | Simplilearn
Simplilearn
OCTOBER 26, 2023
Since its introduction in 2014, XGBoost has become the machine learning algorithm of choice for data scientists and machine learning engineers. It's an open-source library that can train and test models on large amounts of data. It has been used in many domains, from predicting ad click-through rates to classifying high-energy physics events.
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Google Algorithm Updates: The Latest Rollouts | Simplilearn
Simplilearn
OCTOBER 28, 2022
When it comes to the Google algorithm, change is the only constant. The search engine is frequently updated, even more often than what’s typically documented. It can be a real challenge to keep up. Even so, staying on top of the major rollouts can ensure your experience with organic search is a positive one. Read More.
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New Advances in Graphic Design Software Are Predicated on Machine Learning Algorithms
Smart Data Collective
FEBRUARY 8, 2021
Algorithms and learning machines can make it all sound very complicated, but there isn’t too much to it, and you don’t have to be any sort of expert to understand how machine learning algorithms are used within this realm and how they predict trends and changes. How does this work, and what are these algorithms predicting?
What Is RSA Algorithm and How Does It Work in Cryptography? | Simplilearn
Simplilearn
AUGUST 2, 2021
The RSA algorithm has been a reliable source of security since the early days of computing, and it keeps solidifying itself as a definitive weapon in the line of cybersecurity. With so many articles being published that highlight how important encryption is nowadays, you must stay aware of every possible route to enforce such standards.
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Gradient Boosting Algorithm in Python with Scikit-Learn | Simplilearn
Simplilearn
AUGUST 25, 2022
It takes more than just making predictions and fitting models for machine learning algorithms to become increasingly accurate. Feature engineering and ensemble techniques have been used by most successful models in the business or competitions to improve their performance. Read More.
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What Is Apriori Algorithm in Data Mining: Everything You Need to Know | Simplilearn
Simplilearn
NOVEMBER 12, 2021
An algorithm known as Apriori is a common one in data mining. The rapid rise of e-commerce apps has increased the accumulation of data. To forecast outcomes, data mining, also known as KDD (Knowledge Discovery in Databases), is used to detect irregularities, linkages, trends and patterns in data. Read More.
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Binary Search Algorithms: Overview, When to Use, and Examples | Simplilearn
Simplilearn
FEBRUARY 25, 2022
The correct search algorithm is that kind of magnet, helping you find that needle o. When you have mountains of data to wade through, you need the best, most efficient methods of finding precisely what you want. The easiest way to look for a needle in a haystack is to use a magnet. Read More.
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Your One-Stop Solution To Learn Kruskal Algorithm From Scratch | Simplilearn
Simplilearn
AUGUST 3, 2021
Kruskal’s algorithm is the concept that is introduced in the graph theory of discrete mathematics. This algorithm converts a given graph into the forest, considering each node as a separate tree. It is used to discover the shortest path between two points in a connected weighted graph. Read More.
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2021 ITSM Predictions: Endpoint Security, Algorithmic Decision-Making, and User Data Privacy
Dataversity
JANUARY 12, 2021
The post 2021 ITSM Predictions: Endpoint Security, Algorithmic Decision-Making, and User Data Privacy appeared first on DATAVERSITY. A recent Harvard Business School study suggests that 16 percent of companies expect their employees to continue to work from home long after the pandemic concludes. With so many people […].
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Deep Learning Algorithms You Should Know About | Simplilearn
Simplilearn
SEPTEMBER 13, 2021
In today's big-data ecosystem, users generate massive amounts of data 24/7. This data is processed using high-performance computing (HPC). At the same time, the parallel processing architecture of in-memory computing (IMC) powers the learning framework to update without impacting performance continually.
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Top Data Structures and Algorithms Every Data Science Professional Should Know | Simplilearn
Simplilearn
MAY 23, 2021
More importantly, if you want to become a software engineer or a related data science profession, you need to understand concepts like data structure and algorithms. Since we live in the Age of Data, it’s a good idea to familiarize yourself with the best ways to handle and organize information. Read More.
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What is DES?: Understanding DES Algorithm and Operation | Simplilearn
Simplilearn
FEBRUARY 21, 2021
We live so much of our lives today on the internet. Whether it’s for storing our personal information, finding entertainment, making purchases, or doing our jobs, our society relies increasingly on an online presence. This increased dependence on the internet means that information security is more important than ever. The stakes are too high now.
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What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?
ElegantJ BI
AUGUST 10, 2018
This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? Once the algorithm has been run and the groups are defined, any new data can be easily assigned to the correct group. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data?
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What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?
ElegantJ BI
AUGUST 10, 2018
This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? Once the algorithm has been run and the groups are defined, any new data can be easily assigned to the correct group. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data?
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What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?
ElegantJ BI
AUGUST 10, 2018
This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? Once the algorithm has been run and the groups are defined, any new data can be easily assigned to the correct group. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data?
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What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?
ElegantJ BI
AUGUST 14, 2018
This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? How Does One Use the Multinomial-Logistic Regression Classification Algorithm?
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What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?
ElegantJ BI
AUGUST 14, 2018
This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? How Does One Use the Multinomial-Logistic Regression Classification Algorithm?
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What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?
ElegantJ BI
AUGUST 14, 2018
This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? How Does One Use the Multinomial-Logistic Regression Classification Algorithm? About Smarten.
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Mastering Machine Learning: A Deep Dive into Parametric and Nonparametric Algorithms
Analysts Corner
NOVEMBER 26, 2023
Introduction Continue reading on Analyst’s corner »
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Digital Signature Algorithm (DSA) in Cryptography: How It Works and Advantages | Simplilearn
Simplilearn
AUGUST 2, 2021
The Covid-19 pandemic has given a new life to the work-from-home initiative, taking the corporate world into an untapped phase. Without a doubt, most of the users reading this have had to digitally sign some official documents over the past couple of years because of the lack of face-to-face interaction and standard distance constraints.
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AI Change Trajectory of Education Software Development
Smart Data Collective
FEBRUARY 28, 2024
Through adaptive learning systems, AI algorithms analyze students’ strengths, weaknesses, and learning patterns to tailor educational content accordingly. Artificial intelligence (AI) is revolutionizing education by offering personalized learning experiences and streamlining administrative tasks. This […]
Python for Business: Optimize Pre-Processing Data for Decision-Making
Smart Data Collective
DECEMBER 19, 2021
Accordingly, before using that data in machine learning or an algorithm, you need to convert it into a precise format suitable for the system to inherit it. For instance, the Random Forest Algorithm in Python doesn’t support null values. Algorithmic Trading. Hence, data preprocessing is essential and required.
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Forthcoming AI Regulation Makes Data Management Imperative
Dataversity
FEBRUARY 21, 2022
Although algorithmic decision-making has become increasingly vital for many businesses, there are growing concerns related to transparency and fairness. To put it mildly, the concern is warranted.
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An Important Guide To Unsupervised Machine Learning
Smart Data Collective
NOVEMBER 1, 2020
Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets. As a result, unsupervised ML algorithms are more elaborate than supervised ones, since we have little to no information or the predicted outcomes. Overall, unsupervised algorithms get to the point of unspecified data bits.
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Why AI Is Like Drawing An Owl
Timo Elliott
MAY 18, 2023
That requires getting the right data in the first place, actually using the algorithms as part of a scaleable, reliable, compliant, ethical, usable business process, and then ensuring that people actually use it! The AI engines are increasingly the easy part, just like drawing the circles.
Why Is Data Quality Still So Hard to Achieve?
Dataversity
OCTOBER 25, 2023
We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights.
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5 Current Trends in Big Data for 2022 and Beyond
Smart Data Collective
DECEMBER 1, 2022
Natural language processing uses various algorithms to read, decode, and comprehend human speech. The two most common types of algorithms are deep learning and machine translation. Natural Language Processing (NLP) algorithm techniques require grammar rules to recognize and obtain data from every sentence.
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Intellectual Property Law Becomes Murkier As More Creations Are Created with AI
Smart Data Collective
NOVEMBER 28, 2022
Ahmed Elgammal, director of Rutgers Art and Artificial Intelligence Laboratory, explains in his article published in American Scientist that these programs employ one of two algorithm classes. The user feeds the algorithm hundreds of pictures, and the algorithm tries to imitate them as best it can.
How Reducing Bias in AI Models Boosts Success
Dataversity
AUGUST 28, 2023
AI bias can arise from various sources, including training data, algorithm design, and human influence during […] The post How Reducing Bias in AI Models Boosts Success appeared first on DATAVERSITY. One challenge is how to address the issue of bias in AI models to ensure fairness, equity, and satisfying outcomes.
How to Set up a Predictive Maintenance Project that is Set for Success
Smart Data Collective
MARCH 25, 2021
Are they: Data – Information sources are essential for training the algorithms. Machine Learning Algorithms – Each case will have an ideal algorithm. It is rare that the same algorithm is the most suitable for different cases. It relies on the right predictive analytics tools that can prove to be very useful.
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