Alberta TechWorks Specialize in Machine Learning Algorithms

Jan 04, 2022

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We help organizations drive their business outcomes by creating breakthrough results and improve operational efficiency with our advanced u201cMachine Learning Developmentu201d. With the latest technology, we help transforming your dreams into reality. Stay newfangled with our updates on our social media handles<br>https://www.instagram.com/albertatechworks/<br>https://www.facebook.com/AlbertaTechWorks

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Alberta TechWorks Specialize in Machine Learning Algorithms

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Machine learning methods – Introduction The main properties of learning algorithms

Machine learning methods – Introduction The main properties of learning algorithms. The goal of machine learning. Goal : To construct programs that are able to improve their performance using the experience collected during their operation

383 views • 18 slides

Performance Evaluation of Machine Learning Algorithms

Mohak Shah Nathalie Japkowicz GE Software University of Ottawa ECML 2013, Prague. Performance Evaluation of Machine Learning Algorithms . “Evaluation is the key to making real progress in data mining” [Witten & Frank, 2005], p. 143. Yet….

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Lifelong Machine Learning Systems : Beyond Learning Algorithms

Lifelong Machine Learning Systems : Beyond Learning Algorithms. Daniel L. Silver Acadia University, Wolfville, NS, Canada Qiang Yang and Lianghao Li Dept. of CS and Engineering Hong Kong University of Science and Technology, Clearwater Bay, Hong Kong. Talk Outline.

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Machine Learning Algorithms for Protein Structure Prediction

Machine Learning Algorithms for Protein Structure Prediction. Jianlin Cheng Institute for Genomics and Bioinformatics School of Information and Computer Sciences University of California Irvine 2006. Outline. Introduction 1D Prediction 2D Prediction (Beta-Sheet Topology)

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Machine Learning Evolutionary Algorithms

Machine Learning Evolutionary Algorithms. You are here. What is Evolutionary Computation?. An abstraction from the theory of biological evolution that is used to create optimization procedures or methodologies, usually implemented on computers, that are used to solve problems.

1.27k views • 83 slides

Machine Learning Algorithms

Machine Learning Algorithms. and the BioMaLL library. CBB 231 / COMPSCI 261. B. Majoros. Bioinformatics Machine Learning Library. Part I. Overview. Current Contents. Classification methods K-Nearest Neighbors w/Mahalanobis Distance Naive Bayes Linear Discriminant Analysis

705 views • 42 slides

Pfizer HTS Machine Learning Algorithms: November 2002

Pfizer HTS Machine Learning Algorithms: November 2002. Paul Hsiung (hsiung+@cs.cmu.edu) Paul Komarek (komarek@cs.cmu.edu) Ting Liu (tingliu@cs.cmu.edu) Andrew W. Moore (awm@cs.cmu.edu) Auton Lab , Carnegie Mellon University School of Computer Science www.autonlab.org. Datasets.

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Fuzzy Genetics-based Machine Learning Algorithms

Fuzzy Genetics-based Machine Learning Algorithms. Presented by Vahid Jazayeri. outline. Introduction to fuzzy sets and fuzzy rules Introduction to GBML algorithms GBML Algorithms Michigan Pittsburgh Hybrid. Fuzzy Sets. A Fuzzy set includes a small number of linguistic values

358 views • 21 slides

Overview of Machine Learning: Algorithms and Applications

Overview of Machine Learning: Algorithms and Applications. Nathalie Japkowicz School of Information Technology and Engineering University of Ottawa. Overview I.

620 views • 44 slides

Machine-learning algorithms are often used in recommendation

we get computers automatically learn from examples and predict the future accurately. The range of applications is huge from product recommendation to face recognition, to game playing, to stock trading.

287 views • 12 slides

An Introduction to Machine Learning Algorithms

Machine Learning is the hottest trend in the IT industry, Machine Learning is quite helpful in making predictions based on past collection of data. Behind the scene, things work with help of complex algorithms that make it happen!

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Important Types of Machine Learning Algorithms

Machine learning has today reached a whole new level over time. However, there is no single algorithm when it comes to machine learning. Further, the addition of other techniques like NLP and neural network, machine learning has reached a new height.To know more visit: https://bit.ly/2GPV8XI

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Python Machine Learning Tutorial | Machine Learning Algorithms | Python Training | Edureka

This Edureka Python tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) gives an introduction to Machine Learning and how to implement machine learning algorithms in Python. Below are the topics covered in this tutorial: 1. Why Machine Learning? 2. What is Machine Learning? 3. Types of Machine Learning 4. Supervised Learning 5. KNN algorithm 6. Unsupervised Learning 7. K-means Clustering Algorithm

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Analyzing Titanic Disaster using Machine Learning Algorithms

Titanic disaster occurred 100 years ago on April 15, 1912, killing about 1500 passengers and crew members. The fateful incidents still compel the researchers and analysts to understand what could have led to the survival of some passengers and demise of the others. With the use of machine learning methods and a dataset consisting of 891 rows in the train set and 418 rows in the test set, we attempt to determine the correlation between factors such as age, sex, passenger class, fare etc. to the chance of survival of the passengers. These factors may or may not have impacted the survival rates of the passengers. In this research paper, we use various machine learning algorithms namely Logistic Regression, Nau00c3u00afve Bayes, Decision Tree, Random Forest to predict the survival of passengers. In particular, we attempt to compare these algorithms. Dr. Prabha Shreeraj Nair "Analyzing Titanic Disaster using Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: https://www.ijtsrd.com/papers/ijtsrd7003.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/7003/analyzing-titanic-disaster-using-machine-learning-algorithms/dr-prabha-shreeraj-nair

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Machine Learning Evolutionary Algorithms

1.01k views • 77 slides

Unsupervised Machine Learning Algorithms

Unsupervised Machine Learning Algorithms. Unsupervised Machine Learning Algorithms. Unsupervised learning is typically used in finding special relationships within data set No training examples used in this process The system is given a set of data to find the patterns and correlations therein

1.6k views • 152 slides

Introduction to Machine Learning Algorithms

Introduction to Machine Learning Algorithms. What is Artificial Intelligence (AI)?. Design and study of computer programs that behave intelligently . Designing computer programs to make computers smarter .

365 views • 33 slides

Specialize In Catering Columbia

700 South Deli Specialize In Catering Columbia for over 30 Years. We are an independent, family owned Deli and Cafe located in the business and hotel district of Linthicum, MD - About a stone's throw from BWI Airport. To know more about us, visit: http://700southdeli.com/catering-guide/

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Optimization Algorithms for Machine Learning

Optimization is the most crucial part of machine learning algorithms. It begins with defining loss function/cost function and ends with minimizing loss and cost using optimization algorithms These help us maximize or minimize an error function. The internal parameters of a model play a very important role in efficiently and effectively training a model and producing accurate results.

270 views • 21 slides

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