This document provides an overview of key concepts in sequences and series, including:
- Writing explicit and recursive rules for sequences
- Simplifying factorial expressions
- Evaluating summations and finding sums of sequences (series)
- Properties of arithmetic and geometric sequences/series, including formulas for nth terms and sums
- Proofs using mathematical induction
- Binomial expansions
- Counting principles, permutations, and combinations
- Calculating simple, compound, and multiple event probabilities
It serves as a study guide for understanding foundational ideas in precalculus sequences and probability.
This powerpoint presentation discusses or talks about the topic or lesson Functions. It also discusses and explains the rules, steps and examples of Quadratic Functions.
This powerpoint presentation discusses or talks about the topic or lesson Functions. It also discusses and explains the rules, steps and examples of Quadratic Functions.
Mathematics 9 Lesson 1-A: Solving Quadratic Equations by Completing the SquareJuan Miguel Palero
This powerpoint presentation discusses or talks about the topic or lesson Solving Quadratic Equations using Completing the Square. It also discusses the steps in solving quadratic equations using the method of Completing the Square.
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Addition and Subtraction of Rational Expressions with Like DenominatorsFree Math Powerpoints
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Mathematics 9 Lesson 1-A: Solving Quadratic Equations by Completing the SquareJuan Miguel Palero
This powerpoint presentation discusses or talks about the topic or lesson Solving Quadratic Equations using Completing the Square. It also discusses the steps in solving quadratic equations using the method of Completing the Square.
For more instructional resources, CLICK me here!
https://tinyurl.com/y9muob6q
LIKE and FOLLOW me here!
https://tinyurl.com/ycjp8r7u
https://tinyurl.com/ybo27k2u
Addition and Subtraction of Rational Expressions with Like DenominatorsFree Math Powerpoints
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You will learn how to solve quadratic equations by extracting square roots.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
2. This Slideshow was developed to accompany the textbook
Precalculus
By Richard Wright
https://www.andrews.edu/~rwright/Precalculus-RLW/Text/TOC.html
Some examples and diagrams are taken from the textbook.
Slides created by
Richard Wright, Andrews Academy
rwright@andrews.edu
3. In this section, you will:
• Write a sequence from a rule.
• Write an explicit rule for a sequence.
• Write a recursive rule for a sequence.
• Simplify factorial expressions.
3
4. Sequence
List of numbers following a rule
0, 3, 6, 9, 12 <− finite (ends)
0, 3, 6, 9, 12, … <− infinite (doesn’t end)
𝑛 = 1, 2, 3, 4, 5, … (term #) like x
𝑎𝑛 = 0, 3, 6, 9, 12, … (term value) like y
4
6. Write the rule for the nth term.
1, 5, 9, 13, 17, …
2, -9, 28, -65, 126, …
6
7. Recursive Rules
Use the answer of one term to
find the next term.
𝑎𝑛 means current term
𝑎𝑛+1 means next term
Find the first 5 terms.
𝑎1 = 6
𝑎𝑛+1 = 𝑎𝑛 + 1
7
8. Factorial (!)
Product of a whole number
with all the whole numbers less
than it through 1.
6! = 6 ∙ 5 ∙ 4 ∙ 3 ∙ 2 ∙ 1
5! = 5 ∙ 4 ∙ 3 ∙ 2 ∙ 1
0! = 1
Simplify
9!
3!7!
8
17. In this section, you will:
• Write the explicit rule for an arithmetic sequence.
• Write the recursive rule for an arithmetic sequence.
• Evaluate the sum for an arithmetic series.
17
26. In this section, you will:
• Write the explicit rule for an geometric sequence.
• Write the recursive rule for an geometric sequence.
• Evaluate the sum for an geometric series.
26
31. In this section, you will:
• Write a proof for a sum formula using mathematical induction.
• Prove other mathematical statements using mathematical induction.
31
32. Proofs for sum formulas
Show it works when n = 1
Show it works for n + 1
Steps
1. Show it works for n = 1
2. Assume formula works for 𝑛 = 𝑘
3. Show it works for 𝑛 = 𝑘 + 1
If proving sum formula use 𝑆𝑘+1 = 𝑆𝑘 + 𝑎𝑘+1
32
43. In this section, you will:
• Apply the fundamental counting principle
• Calculate permutations
• Calculate combinations
43
44. Fundamental Counting Principle
If events E1 and E2 occur in m1 and m2 ways, the number of ways both
events can occur is m1∙m2.
A lock will open with the right choice of 3 numbers. How many different
sets of 3 numbers can you choose if each number is from 1 to 30
inclusive? (a) with repetition (b) without repetition
44
45. How many license plates can be made if each is 2 letters follow by 4-
digits? (a) with repetition (b) without repetition
45
46. Permutation
Number of ways to order n objects taken r at a time
𝑛𝑃𝑟 =
𝑛!
𝑛−𝑟 !
How many ways can 8 children line up in a row?
46
47. A club has 24 members, how many ways can 5 officers be selected?
47
48. Distinguishable Permutations
What is some objects are exactly the same?
ABB
BAB and BAB are the same eventhough the B’s were switched
We want the orders that look different (choosing all the objects)
𝑛!
𝑞1! ∙ 𝑞2! ∙ 𝑞3! ⋯
Where n = number of objects; q = how many times each is repeated
48
50. Combinations
Grouping of objects without order
ABC is the same as BAC
𝑛𝐶𝑟 =
𝑛!
𝑛 − 𝑟 ! 𝑟!
There are 31 students. How many different groups of 4 can be made?
50
51. You are forming a 10-person committee from 9 women and 12 men. How
many different committees if 5 women and 5 men?
51
52. In this section, you will:
• Calculate simple probability
• Calculate the probability of compound events
• Calculate the probability of multiple events
• Calculate the complement of an event
52
53. Probability
Number from 0 to 1 indicating how likely something is to happen.
0 = never happens
1 = always happens
𝑃 𝐴 =
𝑓𝑎𝑣𝑜𝑟𝑎𝑏𝑙𝑒 𝑜𝑢𝑡𝑐𝑜𝑚𝑒𝑠
𝑡𝑜𝑡𝑎𝑙 𝑜𝑢𝑡𝑐𝑜𝑚𝑒𝑠
53
54. A box contains 3 red marbles, 5 black marbles, and 2 yellow marbles. If a
marble is selected at random, what is the probability of choosing yellow?
54
55. 2 dice are rolled, what is the probability that the sum is 8?
55
1 1 2 1 3 1 4 1 5 1 6 1
1 2 2 2 3 2 4 2 5 2 6 2
1 3 2 3 3 3 4 3 5 3 6 3
1 4 2 4 3 4 4 4 5 4 6 4
1 5 2 5 3 5 4 5 5 5 6 5
1 6 2 6 3 6 4 6 5 6 6 6
57. You draw one card from a standard 52-card deck. What is the probability
of drawing a heart or red?
57
58. Multiple Events
Two events with 2 outcomes
Independent – Event A does not affect event B
𝑃 𝐴 𝑎𝑛𝑑 𝐵 = 𝑃 𝐴 ∙ 𝑃 𝐵
Dependent – Event A does affect event B
𝑃 𝐴 𝑎𝑛𝑑 𝐵 = 𝑃 𝐴 ∙ 𝑃 𝐵 𝐴
Where 𝑃(𝐵|𝐴) is the probability that B occurs given that A already
occured
58
59. You draw 2 cards from a standard 52-card deck. What is the probability
you draw a heart and a red? (a) with replacement (b) without
replacement
59