Join us as we embark on a journey to develop prompts for a Language Model (LLM) from the ground up. Our objective is to integrate prompts from text-to-image models and incorporate feedback mechanisms. The goal is to explore whether the LLM can generate prompts for the text-to-image model that yield improved output based on feedback, minimizing the need for manual adjustments. This session aims to provide insights into effective prompting for these models, showcase the potential of in-context learning with LLMs, and shed light on the associated limitations. Don't miss out on this opportunity to delve into the exciting world of dynamic prompt optimization!
Cole Ingraham, a software architect, data scientist, AI thought leader, and innovator, with over seven years of individual contributor and management experience in startups and enterprise SaaS. Currently employed as the lead AI instructor at Data Science Academy | Learn more about Cole Ingraham's work experience, education, connections & more by visiting LinkedIn profile ▶️ https://bit.ly/3Og40LF
SIGN UP TO RECEIVE THE WEBINAR LINK▶️ https://bit.ly/3vKnbaa
NYC Data Science Academy
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NYC Data Science Academy is the premier training ground for data scientists. We provide accelerated p
In the fast paced world of data science, sometimes you need a little more than the latest E-book to stay on top. NYC Data Academy offers excellent training at affordable pricing while giving you the tools you need to stay on the leading edge. Big data and data science is an exciting and growing part of the tech industry. Just a few years ago massive data sets represented a huge problem – the valua
Operating as usual
Last call 📢January cohort is starting soon. Apply before Friday, Jan 13th, 2023
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Are you still considering landing a new job in the data science industry? NYC Data Science Academy is ranked 2022 best bootcamp on SwitchUp (4.89/5 ⭐with over 300 reviews). Our job is to offer a solid data science with machine learning curriculum and prepare you to be an extraordinary candidate for your data science job interviews.
Data Science Bootcamp Curriculum|12 Week Data Science Boocamp Syllabus https://bit.ly/3IIlQ8f
Regardless of your skill level or career goals, NYC data science bootcamps offer many advantages. They are generally more flexible and affordable than traditional university or higher education programs. A more hands-on approach to learning—a major benefit for aspiring data scientists.
Apply for "Data Science With Machine Learning Bootcamp" and ''Data Analytic Bootcamp" today to develop your career path in the data science field.
https://bit.ly/3S5bAIm
Launch Your Career in Data Science
This immersive program is designed to prepare students for a career in data science, while equipping them with the knowledge and skills required to use industry tools and apply them in real-world applications.
Apply for our online data science with machine learning class by Oct. 31st 2022
https://bit.ly/3rS4gVI
LAST CALL 📢 Join us tomorrow Sept 21 at 5 PM to meet directly with our school director and CTO, Vivian Zhang, to walk you through the journey in NYC Data Science Academy.
About this event
We offer immersive bootcamp programs, part-time professional programs, and corporate training programs. Our programs and courses are designed to either prepare candidates for a career in data science or enhance work professionals with the up-to-date knowledge and skills required in the industry and equip them with the ability to create from end to end real-world applications. Hear more about the admission process, interview tips, and our lifetime career support.
Agenda
5:00 -5:50: School Director’s Presentation
5:50 - 6:00: QA Session
About the host:
NYC Data Science Academy is one of very few national accredited Data Science Schools and has been in business for over 9 years and rated as Best Bootcamp Program and Best Online Program by SwitchUp and CourseReport.
*** All the new offerings start around Sept 23rd, Sign up now***
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Data Analytic Bootcamp (230 hours, Interactive Distance Learning, 3 months)
Data science with Machine Learning (400 hours of Interactive Distance Learning, 4 or 6 months)
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Introductory Python (20 hours, Mon/Wed 7-9 PM)
Data Science with Python: Data Analysis and Visualization (20 hours, Sun 1-5 PM)
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Data Science with Python: Machine Learning (20 hours, Sun 1-5PM)
Designing and Implementing Production Machine Learning Systems (MLOps) (20 hours, Tues-Thurs 7-9 PM)
Natural Language Processing for Production (NLP) (20 hours, Mon/Wed 7-9 PM)
🥳 New Course|Designing and Implementing Production Machine Learning Systems (MLOps) course starts on Sep. 27! Scan the QR code to enroll now!
Do you understand how machine learning system can drive business value?💲
As machine learning (ML) is everywhere, companies need well-engineered ML systems and processes that enable ML algorithms to drive more business value.
MLops course introduces you the ML systems in production that will demonstrate and give students exposure to how real production ML systems operate. Using Python, Docker, Kubernetes, Google Cloud and various open-source tools, you will bring the different components of an ML system to life and setup real, automated infrastructure.
Scan QR code or click the link👉 (https://bit.ly/3U7xsF0) to know more!
LAST CALL!! Join us tomorrow | Sept 7th, 6 PM - 7 PM EST | to learn more about data science with machine learning. Kyle Gallatin will introduce his upcoming course: "Designing and Implementing Production Machine Learning Systems". We will discuss the requirements for registering in the course, the content that will be covered, and the skills that students will walk away with.
Save your spot ASAP here: https://bit.ly/3dXvk1Y
Join us on | Wednesday, Sept 7th, 6 PM - 7 PM EST | to learn more about data science with machine learning. Kyle Gallatin will give an introduction to his upcoming course: "Designing and Implementing Production Machine Learning Systems". We will discuss the requirements for registering in the course, the content that will be covered, and the skills that students will walk away with.
Save your spot ASAP here: https://bit.ly/3pUXFZt
Join us on | Tuesday, August 23th at 5 PM | to learn more about Pandas
While researching the field of data science, it is a guarantee that you will run into Pandas. No... not the cuddly creature from China. Pandas, short for panel data, is a python package used for data manipulation. While less loveable than a Panda Bear, Pandas servs as a valuable tool in any data science project. Whether you are trying to analyze a dataset of customers or aggregate county-level information to the state level, you will find Pandas extremely useful. We will learn the operations surrounding creating an effective analysis and how to utilize the potential of Pandas.
Agenda
5:00pm - 5:15pm: NYC Data Science Academy Overview
5:15pm -6:20pm Hands-on workshop given by David Kressley
6:20pm - 6:30pm Q&A and more mingling
Join us Today at 6 pm! This course demonstrates a practical and intuitive approach to NLP applications through various use cases. Essentials and practical fundamentals of NLP methods are presented via generic Python packages including but not limited to Regex, NLTK, SpaCy, and Huggingface.
Data analysis skills can be utilized in virtually every industry, making people in the workforce more valuable. Any opportunity to increase your value in your career can pay off big time. It's also an investment to help boost upward mobility in currently held positions.
> Data science beginner-friendly
> Same content as Data Science Bootcamp in the first of 6 weeks
> Can be transferred to the Data Science Bootcamp
> Have both in-person and online learning mode
*Apply Online Data Science with Machine Learning Bootcamp before AUG 15 2022*
Event Title: Data Boards: A Collaborative and Interactive Space for Data Science
Date and Time: Tuesday, August 9th from 5-6 EDT
Unleashing the full potential of data and AI requires a paradigm shift in the algorithms and tools used to analyze data and build models towards more interactive systems with highly collaborative and visual interfaces. Ideally, data scientists and domain experts should be able to work closely together and make discoveries by directly manipulating, analyzing, and visualizing data on the spot as a team, instead of having week-long forth-and-back interactions between them. Current visualization and workflow tools are ill-suited for this purpose. They were not designed to be interactive nor to support teams to actually work together rather than just share final results. Similarly, most machine learning algorithms are not able to provide initial answers at "human speed" (i.e., seconds), nor are existing methods sufficient to convey the impact of the various risk factors, such as multi-hypothesis problems. Finally, most visual data exploration tools still fail when used over large datasets or require horrendous loading times before any real work can begin.
[Sign up here: hthttps://nycdatascience.zoom.us/webinar/register/WN_X7_FoqqPRVy0tWzsSGFJ-A%5D
4-week Data Science - Intro To Python
NYCDSA now offers a 20% discount for the INTRO TO PYTHON Course. Master the essential data science skills with Python in 4 weeks with certificates!
sign up link:https://lnkd.in/eGupn64q
Join us on | Tuesday, July 19th at 5 PM | to discuss popular Python coding conventions, and learn how to incorporate them into your work to increase your code's readability. This session will cover styles that will help you write code that is more conducive to collaboration, which will make you more attractive as a candidate or colleague in the industry.
SIGN UP TO RECEIVE THE WEBINAR LINK▶️ https://bit.ly/3yRFn0J
Last Chance to Sign Up for Free Data Science Workshop on July 12 at 5 PM
Register here -> https://bit.ly/3NRsFTJ
learning #12
Join us on | Tuesday, July 12th at 5 PM| to learn more about data science with machine learning. Why machine learning is needed, and what are the benefits of the system.
Register here -> https://bit.ly/3NPFSfX
Join us on Tuesday, July 5 at 5 PM, to learn how to visualize information like a data scientist. No coding, statistical, machine learning, or visualization experience is required to attend.
About this event
One of the most important skills of a data scientist is properly communicating concepts. Perhaps, the best way is through visualizations. In this webinar, we will look at multiple types of visualizations and analyze why some work and others do not. This will include an explanation of when to use specific types of visualizations, what are important features to consider when creating them, and best practices in designing them.
Register here: https://bit.ly/3OFV1BU
NYC Data Science Academy, we want to see you succeed.
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#10%off
NYC Data Science Academy has enrolled a large number of students from all around the world. Apply our Data Science with Machine Learning Bootcamp (Interactive Distance Learning) TODAY with 10% off.
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Our Story
In the fast paced world of data science, sometimes you need a little more than the latest E-book to stay on top. NYC Data Academy offers excellent training at affordable pricing while giving you the tools you need to stay on the leading edge. Big data and data science is an exciting and growing part of the tech industry. Just a few years ago massive data sets represented a huge problem – the valuable information they held was inaccessible. Today, thanks to the worldwide community of data scientists, new tools have been developed that let us use that information in ways we never thought possible. Whether you are trying to learn the enterprise applications for a Hadoop cluster or just want to learn the basics, NYC Data Science Academy has something to offer you.
We don’t just teach our courses here at NYC Data Academy– we live them. Our courses are made and taught by industry leaders and experts. We challenge traditional data analysis thinking, inspire and train next generation of data scientists and data visualization professionals. Our idea is simple: learn from the best, become the best.
We use hands-on projects and real-world applications to aspire and spread our passion for data science. With an expert team of data scientists with many years of combined experience, the NYC Data Science Academy team is as enthusiastic as it is skilled.
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