data science

The firm got in early providing online-payment software to tech startups. Now it’s the most valuable Silicon Valley darling yet. We look at its future prospects. New York Governor Andrew Cuomo faces a <a href="https://www.economist.com/united-states/2021/02/20/andrew-cuomo-faces-a-reckoning-for-a-pandemic-related-cover-up?utm_campaign=the-intelligence&amp;utm_medium=podcast&amp;utm_source=third-party-host&amp;utm_content=show-notes" rel="noopener noreferrer" target="_blank">raft of allegations</a> and widespread calls to quit; our correspondent reckons he will not go anywhere without a fight. And the Kabul <a href="https://www.economist.com/asia/2021/03/13/plastic-surgery-is-thriving-in-afghanistan-to-the-outrage-of-some?utm_campaign=the-intelligence&amp;utm_medium=podcast&amp;utm_source=third-party-host&amp;utm_content=show-notes" rel="noopener noreferrer" target="_blank">beauty trend</a> that keeps growing.For full access to print, digital and audio editions of The Economist, subscribe here <a href="http://www.economist.com/intelligenceoffer" rel="noopener noreferrer" target="_blank">www.economist.com/intelligenceoffer</a> &#10;&nbsp; <hr>See <a style='color: grey; ' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for privacy and opt-out information.

Earning them: Stripe’s monster valuation

In this episode, I tackle three often conflated terms - AI, machine learning, and deep learning - to shine some light on what exactly they are.

Additional materials: www.superdatascience.com/464

The SuperDataScience Podcast: Machine Learning | AI | Success

SDS 464: A.I. vs Machine Learning vs Deep Learning

It Will Pass

In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn the idea to the question: why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/47

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised

أداب تلاوة القران الكريم

39 - القراءة السابعة والعشرون (ج 1)-أداب تلاوة القران الكريم

جميع حلقات برنامج حصاد العمر 
الدكتور طارق السويدان
حفظه الله
 رمضان 2018

حصاد العمر 28 - القيم والأخلاق

In this episode of the Data Show, I spoke with Andrew Burt, chief privacy officer at Immuta, and Steven Touw, co-founder and CTO of Immuta. Burt recently co-authored an upcoming white paper on managing risk in machine learning models, and I wanted to sit down with them to discuss some of the proposals they put forward to organizations that are deploying machine learning.

Some high-profile examples of models gone awry have raised awareness among companies for the need for better risk management tools and processes. There is now a growing interest in ethics among data scientists, specifically in tools for monitoring bias in machine learning models. In a previous post, I listed some of the key considerations organization should keep in mind as they move models to production, but the upcoming report co-authored by Burt goes far beyond and recommends lines of defense, including a description of key roles that are needed.

Managing Risk in Machine Learning Models

Julie Zhuo is the co-founder of Inspirit, an advisory firm that partners with fast-scaling tech companies to build and scale products that people love. Prior to founding Inspirit, she was the VP of design and research for the Facebook app, and helped scale the service from 8 million users to over 2 billion. She is also the author of The Making of a Manager, a field guide for new managers that was named one of Amazon's Best Business and Leadership Books of 2019. In this talk, she focuses on how to channel user feedback into impactful product decisions, and also shares some powerful lessons about how to become a successful manager.

Julie Zhuo (Inspirit) - How to Learn from Users

جامع الصحيحين الورد الخامس والستون

رابط قناة التليجرام الرئيسية
📚 سراج الباحثين-دراسة تطبيقية لأحكام التجويد 📚
telegram.me/elserajorg

8المحاضرة الثامنة الحكم الثانى من احكام النون الساكنة والتنوين حكم الادغام الاسئله من34الى38.MP3

La terra dei sogni
- Inno alla vita, testo di Madre Teresa di Calcutta
- Chissà che cosa pensa il pettirosso, testo di Giovanna Gelmi
- Se fossi io a fare la città, testo di Roberto Piumini
- Un furbo commerciante, testo di Luisa Bianchi
- O Padua sidus praeclarum, testo di Johannes Ciconia
- Erano i capei d'oro, testo di Francesco Petrarca

Coro di Voci Bianche Cesare Pollini, Padova
Marina Malavasi, direttrice

La terra dei sogni

O Padua sidus preclarum

Credit:
Performed by : MA , Nhân, Hieule
Guitar : Hieule
Written by: MA Doan 
Rap written by : Nhân
Producer: LIONAH 
Art cover: Huyen Bach

LYRICS: 

Là em chẳng thể nói ra
Lời em ms nói
Là em chẳng thể nói ra 
Lời em yêu anh
Mà sao ta vẫn cứ nhu chơi đùa 
Ừ thì tình yêu giống như trò chơi nma a ơi
Nếu có yêu xin cho e biết một lời

I can never seem to write a song that’s ain’t ab you
I can never seem to satisfy my needs without you
Cuz all I want is you next to me
Don’t need no one else to see
Cuz when I’m with you baby I will be happy

RAP : 
Lời em nói như mật ngọt rót vào tai
Còn anh luôn ngần ngại như chú chim sơn ca nhỏ bé chỉ dám hot vào mic 
Yêu nhưng không thể nói và điều đó không hề chối
chẳng hề cao siêu nhưng tình cảm này thì đầy bao nhiêu 
Anh non dại ngây thơ không biết nhiều thủ thuật
Để mời em đi chơi và ngồi cà phê những buổi chiều chủ nhật
Để tỏ tình thì anh ko chắc 
Nhưng thích em luôn bật công tắc
Ko thích sự chóng vánh vì thích nhạc và tình của mình lâu phai

Không bao giờ đọc được suy nghĩ của anh
Không bao giờ chờ đợi đúng lúc để thấy anh
Khi a đang trò chuyện cùng người ta liệu a có nghĩ đến em
Ta vẫn thỉnh thoảng ngồi nói mấy chuyện vui
Không thể ngờ là e chỉ nghĩ đến anh
Nên nếu có nhìn như đang không quan tâm 
Thật sự e đang quan tâm quá nhiều

I can’t sing a song without thinking of you in my mind
Can u please be next to me tonight 
cuz when it gets a little dark 
The heart just gets a little sad
What can I do if all I really want is you

Khong The Noi Ra

Nhắm Mắt Thấy Mùa Hè - Nguyên Hà  Piano Cover piano cover wizardrypro

Deblina Bhattacharjee joins us to talk about her amazing work in computer vision and give advice for getting into and excelling in the field.

In this episode you will learn:
• Deblina’s master’s program work [4:03]
• Deblina’s computer vision research and Ph.D. [11:46]
• Deblina’s drumming hobby [20:18]
• The daily work [24:40]
• What key skills do you need as a data scientist? [33:21]
• How can a data scientist prepare for the future? [37:03]
• How does Deblina tackle time management? [40:24]

Additional materials: www.superdatascience.com/439

SDS 439: Deep Learning for Machine Vision

This week I answer your questions about machine learning and how to educate yourself further in the field.

Additional materials: www.superdatascience.com/446

SDS 446: Getting Started in Machine Learning

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 446: Getting Started in Machine Learning

Super Data Science: ML & AI Podcast with Jon Krohn

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