Mailrelay es una herramienta de email marketing con características únicas. Te permite crear, enviar y gestionar sus campañas de email con estadísticas completas sobre el comportamiento de sus suscriptores.
Sabrás quién, dónde y cuándo hizo click en tu newsletter. Visualiza el rendimiento de tus boletines electrónicos y mejora tu relación con tus clientes ¡Y tus ventas!
Delta Analytics is a 501(c)3 non-profit in the Bay Area. We believe that data is powerful, and that anybody should be able to harness it for change. Our teaching fellows partner with schools and organizations worldwide to work with students excited about the power of data to do good.
Welcome to the course! These modules will teach you the fundamental building blocks and the theory necessary to be a responsible machine learning practitioner in your own community. Each module focuses on accessible examples designed to teach you about good practices and the powerful (yet surprisingly simple) algorithms we use to model data.
To learn more about our mission or provide feedback, take a look at www.deltanalytics.org.
HOW TO BECOME AN EFFECTIVE DATA SCIENTIST (WORKSHOP) - MIKE BUGEMBEBig Data Week
Mike is an award winning big data evangelist, blogger, author and executive advisor working with organisations on how to get value from the deluge of data that is being produced today.
Currently, Mike is the Chief Analytics Officer at JustGiving.com, the world’s leading social giving company, where in a short period he has successfully transformed the organisation, establishing data and analytics as the lifeblood of the company. His team of analysts, statisticians and data scientists are central to every operational and strategic decision for the organisation by uncovering new growth opportunities and building smart data centric products.
His work has been referenced in a couple of recent bestselling book big data books and he is also working with several leading universities on a big data education programme for executives.
Applying an intersectionality lens in data scienceData Con LA
Data Con LA 2020
Description
Data analytics is all about asking good questions and seeking informed answers that address a real need. But how do you decide which questions to ask, and whose needs are prioritized? Intersectionality, or overlapping race, gender, and other identity groupings that can result in discrimination, is a powerful framework to guide the design and execution of data science projects across industries and subject areas. An intersectionality framework challenges us to look more deeply at the structural and systemic underpinnings of the data and unpack assumptions around how the data is collected, analyzed, and presented in its context. At every stage of the data science project lifecycle, an intersectionality lens supports equitable results because it accounts for all identities within the scope of the project. In the definition and design phase, this requires attention to sources of subjectivity around the question or experiment to mitigate possible bias. During data collection, where and how data is collected determines whether the experiment is an accurate reflection of the environment and whether the representation of identities present leaves a population of people behind. Throughout the analysis, structuring and classifying data in traditional ways may not recognize the various groups that do not fall under "traditional" categories, opening the door to preconceived notions that can manifest as bias. Finally, this framework raises critical questions during the presentation and delivery phase: how is data from the experiment being framed? When presenting findings, are you subconsciously omitting negative outcomes?
*What is intersectionality?
*Opportunities for Bias in Data Science Projects
*Action Items
Speakers
Daphne Cheung, Disney, Data Scientist
Rachel Whaley, LA Tech4Good
Mailrelay es una herramienta de email marketing con características únicas. Te permite crear, enviar y gestionar sus campañas de email con estadísticas completas sobre el comportamiento de sus suscriptores.
Sabrás quién, dónde y cuándo hizo click en tu newsletter. Visualiza el rendimiento de tus boletines electrónicos y mejora tu relación con tus clientes ¡Y tus ventas!
Delta Analytics is a 501(c)3 non-profit in the Bay Area. We believe that data is powerful, and that anybody should be able to harness it for change. Our teaching fellows partner with schools and organizations worldwide to work with students excited about the power of data to do good.
Welcome to the course! These modules will teach you the fundamental building blocks and the theory necessary to be a responsible machine learning practitioner in your own community. Each module focuses on accessible examples designed to teach you about good practices and the powerful (yet surprisingly simple) algorithms we use to model data.
To learn more about our mission or provide feedback, take a look at www.deltanalytics.org.
HOW TO BECOME AN EFFECTIVE DATA SCIENTIST (WORKSHOP) - MIKE BUGEMBEBig Data Week
Mike is an award winning big data evangelist, blogger, author and executive advisor working with organisations on how to get value from the deluge of data that is being produced today.
Currently, Mike is the Chief Analytics Officer at JustGiving.com, the world’s leading social giving company, where in a short period he has successfully transformed the organisation, establishing data and analytics as the lifeblood of the company. His team of analysts, statisticians and data scientists are central to every operational and strategic decision for the organisation by uncovering new growth opportunities and building smart data centric products.
His work has been referenced in a couple of recent bestselling book big data books and he is also working with several leading universities on a big data education programme for executives.
Applying an intersectionality lens in data scienceData Con LA
Data Con LA 2020
Description
Data analytics is all about asking good questions and seeking informed answers that address a real need. But how do you decide which questions to ask, and whose needs are prioritized? Intersectionality, or overlapping race, gender, and other identity groupings that can result in discrimination, is a powerful framework to guide the design and execution of data science projects across industries and subject areas. An intersectionality framework challenges us to look more deeply at the structural and systemic underpinnings of the data and unpack assumptions around how the data is collected, analyzed, and presented in its context. At every stage of the data science project lifecycle, an intersectionality lens supports equitable results because it accounts for all identities within the scope of the project. In the definition and design phase, this requires attention to sources of subjectivity around the question or experiment to mitigate possible bias. During data collection, where and how data is collected determines whether the experiment is an accurate reflection of the environment and whether the representation of identities present leaves a population of people behind. Throughout the analysis, structuring and classifying data in traditional ways may not recognize the various groups that do not fall under "traditional" categories, opening the door to preconceived notions that can manifest as bias. Finally, this framework raises critical questions during the presentation and delivery phase: how is data from the experiment being framed? When presenting findings, are you subconsciously omitting negative outcomes?
*What is intersectionality?
*Opportunities for Bias in Data Science Projects
*Action Items
Speakers
Daphne Cheung, Disney, Data Scientist
Rachel Whaley, LA Tech4Good
Social Learning in Networks: Extraction Deterministic RulesDmitrii Ignatov
In this talk, we want to introduce experimental
economics to the field of data mining and vice versa. It continues
related work on mining deterministic behavior rules of human
subjects in data gathered from experiments. Game-theoretic
predictions partially fail to work with this data. Equilibria also
known as game-theoretic predictions solely succeed with experienced
subjects in specific games – conditions, which are rarely
given. Contemporary experimental economics offers a number of
alternative models apart from game theory. In relevant literature,
these models are always biased by philosophical plausibility
considerations and are claimed to fit the data. An agnostic
data mining approach to the problem is introduced in this
paper – the philosophical plausibility considerations follow after
the correlations are found. No other biases are regarded apart
from determinism. The dataset of the paper “Social Learning in
Networks” by Choi et al 2012 is taken for evaluation. As a result,
we come up with new findings. As future work, the design of a
new infrastructure is discussed.
A Knowledge Graph is as valuable as the insights we can derive from it. So, what do we do when our Knowledge Graph doesn’t contain the answers? We need to complete it.
We know that Grakn’s logical reasoner can help us to deduce insights. However, when our answers can’t be deduced we need to turn to statistical methods to infer new facts - making predictions inductively, by example. This could be relations, attributes or even rules.
In this talk, we will delve into the advanced graph learning systems that we can construct and use on top of Grakn to create intelligent systems. This is the core of the research that we conduct at Grakn Labs - all of which is made available in KGLIB.
Deep learning in medicine: An introduction and applications to next-generatio...Allen Day, PhD
Deep learning has enabled dramatic advances in image recognition performance. In this talk I will discuss using a deep convolutional neural network to detect genetic variation in aligned next-generation sequencing human read data. Our method, called DeepVariant, both outperforms existing genotyping tools and generalizes across genome builds and even to other species. DeepVariant represents a significant step from expert-driven statistical modeling towards more automatic deep learning approaches for developing software to interpret biological instrumentation data.
Visual Resources Association Annual Conference
March 27-30, 2018, Philadelphia
Session: DIY: Crafting Your Space, Mission, and Situation
Presenter: Alison Blaine, Digital Technologies Development Librarian, North Carolina State University
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
8. Consider these numbers…
Property Value
Mean of x 9
Variance of x 11
Mean of y 7.5 (to 2 dp)
Variance of y 4.122 (to 3 dp)
Correlation 0.816 (3dp)
Linear regression y=3+.5x (3dp)