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Tag: Foundations
MARY KAY MATTE FOUNDATIONS (UPDATED 06/24)
MARY KAY MATTE FOUNDATIONS (UPDATED 06/24)
Price : 18.25
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Introducing the new and improved Mary Kay Matte Foundations!We are excited to announce that our Matte Foundations have been updated with even better formulas and shades to cater to a wider range of skin tones. Whether you have oily, combination, or normal skin, our Matte Foundations will give you a flawless, long-lasting matte finish without feeling heavy or cakey.
With a lightweight and buildable formula, you can easily customize your coverage from medium to full, while still allowing your skin to breathe. Our Matte Foundations also contain skin-loving ingredients that help control oil and minimize the appearance of pores, leaving your complexion looking smooth and refined.
Say goodbye to shine and hello to a flawless matte look with Mary Kay Matte Foundations. Visit our website or contact your Mary Kay Independent Beauty Consultant to find your perfect shade today! #MaryKay #MatteFoundations #FlawlessMatteFinish
#MARY #KAY #MATTE #FOUNDATIONS #UPDATED,ages 3+BK BEAUTY BRUSHES – 109 MINI CONTOURED FOUNDATION – Face Brush for Liquid or Cream Foundations – Bronzer, Blush & Highlighter Makeup Brush
Price: $32.00
(as of Jan 23,2025 12:35:50 UTC – Details)
Introducing BK Beauty’s 109 Mini Contoured Foundation Brush. Its luxe vegan fibers ensure flawless, airbrushed coverage with minimal product absorption. Ideal for smaller face shapes, multitask with cream or liquid foundations, contour, bronzer, blush, or highlighter.
Package Dimensions : 6.26 x 2.01 x 0.79 inches; 2.4 ounces
UPC : 810053110669
Manufacturer : BK BEAUTY
ASIN : B0CW266SZ1
Country of Origin : ChinaCELEBRATING BEAUTY: Our BK Beauty makeup brushes are specially designed for mature skin, effortlessly enhancing your natural beauty. Crafted from 100% cruelty-free, vegan fiber, they are gentle yet effective.
FLAWLESS FINISH, EFFORTLESS APPLICATION: Experience unparalleled softness with our luxe brush fibers, meticulously designed for sensitive and mature skin types, ensuring a flawless, airbrushed finish without streaks. A smaller design of our cult classic 101 Contoured Foundation brush, the 109 is ideal for smaller face shapes to blend out cream or liquid foundations. It can also multitask to blend out cream or liquid contour, bronzer, blush or highlighter!
PREMIUM QUALITY, GUARANTEED: Our brushes feature top-tier construction, ensuring durability and resistance to breakage and shedding. Crafted by skilled artisans and supported by modern innovation, they are built to last for decades with proper care, backed by our guarantee.
MORE RESULTS, LESS SPENDING: BK Beauty brushes minimize product absorption, allowing you to use less. Elevate your drugstore makeup with BK Beauty brushes, delivering a high-end feel. Using superior tools ensures optimal results.
ENSURING YOUR HAPPINESS: At BK Beauty, your happiness is our top priority. We stand by our products 100%, no questions asked. If you’re not completely satisfied, we’ll make it right—refund or replace, whatever it takes. Your happiness is guaranteed with us.Customers say
Customers find these brushes to be high-quality and well-made. They appreciate the soft bristles that feel nice on the skin. The size is perfect for applying blush, concealer, and foundation. Customers find the brushes work well for applying liquid and cream products, blending seamlessly without soaking up product. Overall, customers are satisfied with the quality, blendability, and size of these brushes.
AI-generated from the text of customer reviews
Get ready to elevate your makeup game with the BK Beauty 109 Mini Contoured Foundation brush! This versatile face brush is perfect for applying liquid or cream foundations, as well as bronzer, blush, and highlighter.The unique contoured shape of this brush allows for precise application, making it easy to achieve a flawless, airbrushed finish. The densely packed bristles are ultra-soft and gentle on the skin, ensuring a seamless and streak-free application every time.
Whether you’re looking to create a natural everyday look or a glamorous evening makeup look, the BK Beauty 109 Mini Contoured Foundation brush is a must-have in your beauty arsenal. Say goodbye to uneven foundation application and hello to a flawless complexion with this game-changing brush.
Add the BK Beauty 109 Mini Contoured Foundation brush to your makeup collection today and experience the difference for yourself!
#BEAUTY #BRUSHES #MINI #CONTOURED #FOUNDATION #Face #Brush #Liquid #Cream #Foundations #Bronzer #Blush #Highlighter #Makeup #Brush,k beautyAn Introduction to Conditional Random Fields (Foundations and Trends(r) in Machine Learning)
Price:$85.00– $77.49
(as of Jan 22,2025 06:51:39 UTC – Details)
Publisher : Now Publishers (August 23, 2012)
Language : English
Paperback : 120 pages
ISBN-10 : 160198572X
ISBN-13 : 978-1601985729
Item Weight : 6.2 ounces
Dimensions : 6.14 x 0.25 x 9.21 inches
Conditional Random Fields (CRFs) are a popular and powerful framework for modeling structured prediction tasks in machine learning. In this post, we will provide an introduction to CRFs, focusing on the foundational concepts and recent advances in the field.CRFs are a type of probabilistic graphical model that captures dependencies between input variables and output variables. Unlike traditional models such as hidden Markov models or naive Bayes classifiers, CRFs allow for complex and flexible modeling of structured data, such as sequences, graphs, or images.
One of the key advantages of CRFs is their ability to model correlations between neighboring variables in the output space. This makes them particularly well-suited for tasks such as natural language processing, speech recognition, and computer vision, where the output is inherently structured and sequential.
In recent years, there has been significant progress in developing efficient algorithms for training and inference in CRFs, making them a practical choice for a wide range of machine learning applications. Additionally, researchers have explored extensions and generalizations of CRFs, such as deep CRFs and hierarchical CRFs, to further improve their performance and applicability.
Overall, CRFs are a versatile and powerful tool for modeling structured prediction tasks, and understanding their foundations and recent developments can be valuable for both researchers and practitioners in the field of machine learning. If you are interested in learning more about CRFs, we recommend checking out the book “Conditional Random Fields (Foundations and Trends® in Machine Learning)” for a comprehensive overview of the topic.
#Introduction #Conditional #Random #Fields #Foundations #Trendsr #Machine #Learning,machine learning: an applied mathematics introductionBK BEAUTY BRUSHES – 101 CONTOURED FOUNDATION BRUSH – Contoured Foundation Brush – Foundation Makeup Brushes – Face Brush For Liquid Or Cream Foundations
Price: $34.00
(as of Jan 22,2025 02:21:51 UTC – Details)
Elevate your beauty routine with BK Beauty’s Contoured Foundation Brush. Its ultra-soft vegan fibers ensure flawless, airbrushed coverage with minimal product absorption. Backed by premium quality and a satisfaction guarantee.
Package Dimensions : 7.01 x 1.5 x 0.79 inches; 0.71 ounces
Manufacturer : BK BEAUTY
ASIN : B0BWZH1M1W
Country of Origin : ChinaCELEBRATING BEAUTY: BK Beauty makeup brushes are specially designed for mature skin, effortlessly enhancing your natural beauty. Crafted from 100% cruelty-free, vegan fiber, they are gentle yet effective.
ULTRA-SOFT BRUSH FOR A NATURAL LOOK: Achieve flawless, airbrushed coverage with our ultimate streak-free foundation brush, boasting the softest, luxe brush fibers ideal for sensitive and mature skin types, ensuring a natural-looking finish with your favorite liquid or cream foundations.
PREMIUM QUALITY, GUARANTEED: Our brushes feature top-tier construction, ensuring durability and resistance to breakage and shedding. Crafted by skilled artisans and supported by modern innovation, they are built to last for decades with proper care, backed by our guarantee.
MORE RESULTS, LESS SPENDING: BK Beauty brushes minimize product absorption, allowing you to use less. Elevate your drugstore makeup with BK Beauty brushes, delivering a high-end feel. Using superior tools ensures optimal results.
ENSURING YOUR HAPPINESS: At BK Beauty, your happiness is our top priority. We stand by our products 100%, no questions asked. If you’re not completely satisfied, we’ll make it right—refund or replace, whatever it takes. Your happiness is guaranteed with us.Customers say
Customers find this brush to be a great choice for applying foundation. They appreciate its soft bristles that blend well and blur pores. The brush is comfortable to use, with a sturdy handle. It leaves a flawless finish and doesn’t break up easily.
AI-generated from the text of customer reviews
Introducing the BK Beauty Brushes 101 Contoured Foundation Brush!Achieve flawless foundation application with our specially designed contoured brush. The unique shape of this brush allows for precise and seamless blending, ensuring a natural and airbrushed finish every time.
Our foundation makeup brushes are crafted with high-quality synthetic bristles that are ultra-soft and gentle on the skin. The densely packed bristles pick up and distribute product evenly, making it easy to achieve a smooth and even coverage.
Whether you prefer liquid or cream foundations, this face brush is versatile enough to work with any formula. Say goodbye to streaky and uneven application – with the BK Beauty Brushes 101 Contoured Foundation Brush, your makeup will always look flawless.
Upgrade your makeup routine with this must-have tool and experience the difference for yourself. Shop now and elevate your beauty game with BK Beauty Brushes! #BKBeautyBrushes #ContouredFoundationBrush #FoundationMakeupBrushes #FaceBrush #MakeupEssentials
#BEAUTY #BRUSHES #CONTOURED #FOUNDATION #BRUSH #Contoured #Foundation #Brush #Foundation #Makeup #Brushes #Face #Brush #Liquid #Cream #Foundations,k beautyBasic Math for AI: A Beginner’s Quickstart Guide to the Mathematical Foundations of Artificial Intelligence (AI Fundamentals)
Price: $4.99
(as of Jan 17,2025 09:20:40 UTC – Details)
ASIN : B0D6CBPX2M
Publisher : Book Bound Studios (June 5, 2024)
Publication date : June 5, 2024
Language : English
File size : 3021 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Enabled
Print length : 142 pagesCustomers say
Customers find the book clear and easy to follow. It breaks down complex concepts like algebra, calculus, and probability into simple ones. They find it an excellent resource for anyone looking to understand math. The pacing is well-crafted and enjoyable for readers.
AI-generated from the text of customer reviews
Are you interested in delving into the world of Artificial Intelligence (AI) but feeling overwhelmed by the complex mathematical concepts involved? Fear not! In this beginner’s quickstart guide, we will break down the basic math behind AI to help you build a solid foundation for understanding and implementing AI algorithms.1. Linear Algebra:
Linear algebra plays a crucial role in AI, as it is used to represent and manipulate data. Matrices and vectors are fundamental building blocks in AI, used for tasks such as data transformation, dimensionality reduction, and solving systems of equations. Understanding basic operations like matrix multiplication, addition, and inversion is essential for working with AI algorithms.2. Calculus:
Calculus is another key mathematical tool used in AI for optimization and modeling. Concepts like derivatives and integrals are used to optimize parameters in machine learning models, such as minimizing error functions or maximizing performance metrics. Understanding how to calculate derivatives and gradients is essential for training neural networks and other AI models.3. Probability and Statistics:
Probability and statistics play a crucial role in AI for making predictions and decisions based on data. Concepts like probability distributions, hypothesis testing, and statistical inference are used to analyze data, make predictions, and assess the uncertainty of AI models. Understanding key concepts like Bayes’ theorem, central limit theorem, and statistical hypothesis testing is essential for working with AI algorithms.4. Algorithms and Data Structures:
In addition to mathematical foundations, understanding algorithms and data structures is essential for implementing AI algorithms efficiently. Concepts like sorting algorithms, search algorithms, and data structures like trees and graphs are used in AI for tasks like data manipulation, pattern recognition, and optimization. Understanding how these algorithms work and their computational complexity is crucial for developing efficient AI models.By mastering these basic mathematical concepts, you will have a solid foundation for understanding and implementing AI algorithms. Whether you are a beginner looking to get started in AI or an experienced professional seeking to deepen your understanding, this quickstart guide will help you build the mathematical foundations necessary for success in the world of Artificial Intelligence. Get ready to dive into the exciting world of AI and unleash your creativity and problem-solving skills!
#Basic #Math #Beginners #Quickstart #Guide #Mathematical #Foundations #Artificial #Intelligence #Fundamentals,machine learning: an applied mathematics introduction
Basic Math for AI: A Beginner’s Quickstart Guide to the Mathematical Foundations of Artificial Intelligence (AI Fundamentals)
Price: $14.99
(as of Jan 04,2025 20:57:56 UTC – Details)
Publisher : Book Bound Studios (June 7, 2024)
Language : English
Paperback : 190 pages
ISBN-10 : 1761590928
ISBN-13 : 978-1761590924
Item Weight : 10.7 ounces
Dimensions : 5.5 x 0.43 x 8.5 inchesCustomers say
Customers find the book helpful for understanding math concepts like algebra, calculus, and probability. It explains things clearly and provides practical examples, making it easy to follow. Readers describe it as an excellent resource for anyone looking to understand math basics. They find the pacing well-crafted and enjoyable.
AI-generated from the text of customer reviews
Artificial intelligence (AI) is a rapidly growing field with countless applications in various industries. However, understanding the mathematical foundations of AI is essential for anyone looking to dive into this exciting field. In this beginner’s quickstart guide, we will cover the basic math concepts that form the backbone of AI.1. Linear Algebra: Linear algebra is one of the most important mathematical concepts in AI. It deals with vectors, matrices, and their operations. In AI, we often use matrices to represent data and perform operations such as matrix multiplication, matrix inversion, and matrix factorization.
2. Calculus: Calculus is another crucial concept in AI, especially in optimization algorithms. Understanding calculus will help you grasp concepts like gradient descent, which is used to minimize loss functions in machine learning models.
3. Probability and Statistics: Probability and statistics play a significant role in AI, especially in probabilistic models and machine learning algorithms. Understanding concepts like probability distributions, expected value, variance, and hypothesis testing is essential for building robust AI models.
4. Optimization: Optimization is the process of finding the best solution among a set of feasible solutions. In AI, optimization algorithms are used to train machine learning models and fine-tune their parameters. Understanding optimization techniques like gradient descent, stochastic gradient descent, and Newton’s method is crucial for building efficient AI systems.
By mastering these basic math concepts, you will have a solid foundation to dive deeper into the world of artificial intelligence. Keep practicing and applying these concepts to real-world problems to enhance your understanding and skills in AI. Happy learning!
#Basic #Math #Beginners #Quickstart #Guide #Mathematical #Foundations #Artificial #Intelligence #Fundamentals,machine learning: an applied mathematics introduction
Gayle Benson’s donation to Greater New Orleans Foundation’s disaster relief fund will provide vital assistance to those affected by terrorist attack
After a hurricane unleashed its damage on Louisiana in early July 2024, proactive thought was that inevitably, disaster again would strike New Orleans and the metro area, and that those affected would require speedy assistance.
That largely explains why New Orleans Saints owner/New Orleans Pelicans governor Gayle Benson made a $1.25 million donation to the Greater New Orleans Foundation in mid-July 2024, which became the Gayle and Tom Benson Disaster Relief Fund.
The horrifying jolt that the first disaster requiring assistance afterward would be a terrorist attack on Bourbon Street, during the early morning hours of New Year’s Day 2025, amplified the fact that almost immediately the GNOF was prepared to assist those who were most affected by the attack.
“In the wake of the tragic events on Bourbon Street this New Year’s, we are fully committed to supporting the victims and their families,” Gayle Benson said. “Through the Greater New Orleans Foundation’s disaster relief fund, we will provide vital assistance to those affected, ensuring they have the resources they need during this challenging time.
“It is our collective responsibility to support our community in times of hardship, and I will continue to stand with New Orleans as we heal together.”
Fourteen people were killed and dozens more injured as the driver, Shamsud Din Jabbar, ran them down in a truck before being killed after exchanging gunfire with police.
“Because of Mrs. Benson’s gift, we will not have to scramble so much to get started when disaster strikes,” Andy Kopplin, the president and CEO of the GNOF, said during the donation announcement in July. The GNOF serves the 13-parish region of metro New Orleans.
“We will be ready to make those first grants to get our response and recovery going, and to get the additional fund-raising started,” Kopplin said.
Gayle Benson, owner of the New Orleans Saints and Pelicans, has made a generous donation to the Greater New Orleans Foundation’s disaster relief fund to support those affected by the recent terrorist attack in the city.Her donation will provide vital assistance to those who have been impacted by this tragic event, helping them rebuild their lives and communities in the wake of this senseless act of violence.
We applaud Gayle Benson for her commitment to helping those in need during this difficult time and thank her for her generosity in supporting the Greater New Orleans Foundation’s relief efforts. Together, we can stand strong and support one another in the face of adversity. #NewOrleansStrong #SupportOurCommunity.
Tags:
- Gayle Benson
- Greater New Orleans Foundation
- Disaster relief fund
- Terrorist attack
- Donation
- Assistance
- New Orleans community
- Philanthropy
- Humanitarian aid
- Support for victims
#Gayle #Bensons #donation #Greater #Orleans #Foundations #disaster #relief #fund #provide #vital #assistance #affected #terrorist #attack
Exploring the Mathematical Foundations of Machine Learning
Machine learning is a rapidly growing field that is revolutionizing the way we interact with technology. From recommendation systems on streaming platforms to self-driving cars, machine learning is everywhere. But what exactly is the mathematical foundation that underpins these powerful algorithms?At its core, machine learning is about building algorithms that can learn from and make predictions or decisions based on data. This process involves a combination of statistics, optimization, and linear algebra, among other mathematical disciplines.
One of the key concepts in machine learning is the idea of a model. A model is a simplified representation of the real world that allows us to make predictions or decisions. In machine learning, models are typically represented as mathematical equations that describe the relationship between input data and output predictions.
To build a model, we need to first define a loss function, which measures how well the model is performing on a given dataset. The goal of machine learning is to minimize this loss function by adjusting the parameters of the model. This is done through a process called optimization, which involves techniques like gradient descent to find the optimal set of parameters that minimize the loss.
Linear algebra plays a crucial role in machine learning, as many algorithms rely on matrix operations to process and analyze data efficiently. For example, in deep learning, neural networks are made up of layers of interconnected nodes that perform matrix multiplications and nonlinear transformations to learn from data.
Another important mathematical concept in machine learning is probability theory. Probability theory is used to model uncertainty in data and make decisions under uncertainty. For example, Bayesian methods use probability distributions to update beliefs about parameters as new data is observed.
In addition to these core mathematical concepts, machine learning also draws on ideas from fields like information theory, graph theory, and optimization theory to develop new algorithms and improve performance.
Overall, exploring the mathematical foundations of machine learning is essential for understanding how these powerful algorithms work and how to improve them. By understanding the underlying mathematics, researchers and practitioners can develop more robust and efficient machine learning models that can tackle increasingly complex tasks in areas like healthcare, finance, and autonomous systems.
#Exploring #Mathematical #Foundations #Machine #Learning,machine learning: an applied mathematics introduction
Exploring the Mathematical Foundations of Machine Learning in Practice
Machine learning is a powerful tool that has revolutionized the way we approach data analysis and decision-making processes. At its core, machine learning is a discipline that focuses on developing algorithms and models that can learn from and make predictions or decisions based on data. This field has grown rapidly in recent years, with applications ranging from self-driving cars to personalized recommendation systems.While machine learning is often associated with complex algorithms and advanced techniques, at its core, it relies on fundamental mathematical principles. Understanding the mathematical foundations of machine learning is essential for practitioners to effectively develop, implement, and interpret machine learning models.
One of the key mathematical concepts that underpin machine learning is linear algebra. Linear algebra is the branch of mathematics that deals with vector spaces and linear transformations. In machine learning, linear algebra is used to represent data as vectors and matrices, which allows for efficient computation and manipulation of data. For example, in the context of linear regression, a fundamental machine learning algorithm, linear algebra is used to find the optimal parameters that minimize the error between the predicted and actual values.
Another important mathematical concept in machine learning is calculus. Calculus is used to optimize machine learning models by finding the minimum or maximum of a function. For example, in gradient descent, a common optimization algorithm used in machine learning, calculus is used to update the parameters of a model in the direction that minimizes the error.
Probability and statistics are also fundamental mathematical concepts in machine learning. Probability theory is used to model uncertainty and make predictions based on probabilistic models. Statistics, on the other hand, is used to analyze and interpret data, infer relationships between variables, and assess the performance of machine learning models.
In practice, understanding the mathematical foundations of machine learning is crucial for several reasons. Firstly, it allows practitioners to select the most appropriate algorithms and techniques for a given problem. Different algorithms have different mathematical underpinnings, and understanding these can help practitioners choose the most suitable approach.
Secondly, a solid understanding of the mathematics behind machine learning enables practitioners to interpret the results of their models accurately. This is important for making informed decisions based on the output of machine learning algorithms.
Finally, understanding the mathematical foundations of machine learning can help practitioners develop novel algorithms and techniques that push the boundaries of the field. By building on existing mathematical concepts, practitioners can innovate and create new solutions to complex problems.
In conclusion, exploring the mathematical foundations of machine learning is essential for practitioners to effectively develop, implement, and interpret machine learning models. By understanding concepts such as linear algebra, calculus, probability, and statistics, practitioners can build better models, make more informed decisions, and drive innovation in the field of machine learning.
#Exploring #Mathematical #Foundations #Machine #Learning #Practice,machine learning: an applied mathematics introduction
Foundations and Adult Health Nursing Virtual Clinical Excursions Cooper
Foundations and Adult Health Nursing Virtual Clinical Excursions Cooper
Price : 92.99
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Foundations and Adult Health Nursing Virtual Clinical Excursions CooperIn the world of nursing education, virtual clinical excursions are becoming an increasingly popular tool for students to gain hands-on experience in a simulated clinical setting. These virtual excursions provide students with the opportunity to practice critical thinking skills, decision-making, and clinical judgment in a safe and controlled environment.
One such virtual clinical excursion program is Foundations and Adult Health Nursing Virtual Clinical Excursions Cooper. This program is designed to help nursing students develop the foundational knowledge and skills necessary to care for adult patients in a variety of healthcare settings.
Through the use of realistic patient scenarios, interactive activities, and virtual patient assessments, students are able to practice their clinical skills and gain confidence in their abilities. They can also receive immediate feedback and guidance from experienced nurse educators, helping them to improve their performance and learn from their mistakes.
Overall, Foundations and Adult Health Nursing Virtual Clinical Excursions Cooper is a valuable tool for nursing students to enhance their learning and preparation for real-world clinical practice. By engaging in these virtual excursions, students can build their clinical competence and confidence, ultimately becoming more effective and compassionate nurses.
#Foundations #Adult #Health #Nursing #Virtual #Clinical #Excursions #Cooper
