Data Science

In this episode of The Politics of Race in American Film, Dr. Clive James Nwonka hosts a conversation with Cheryl Bedford (Women of Color Unite), Lanre Bakare (The Guardian), and Sam Mejias (The New School) which looks at films which engage with questions of blackness and race in America during the Obama and Trump eras. These films include Moonlight, Get Out, Us, Queen and Slim, Waves, Harriet, and more recently, Judas and the Black Messiah. What do these films tell us about the politics of race, both within the industry and more broadly in American society, and how we see African American films (or African Americans within film) shaping and influencing the racial politics of the US? What might be next for African American cinema in the era of Joe Biden?

Contributors: Cheryl Bedford, Women of Color Unite; Lanre Bakare, Arts and Culture Correspondent, The Guardian; Sam Mejias, The New School; Dr. Clive James Nwonka, Fellow International Inequalities Institute, LSE

The Politics of Race in American Film: Episode 4, Hollywood Representations of Blackness

د. عمرو خالد – بسمة أمل – الحلقة 37 - قصة الجمال والقبح والثوب المزيف

In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and know about SAS Enterprise Miner. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/41

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

SDS 041: An Inspiring Journey from a Totally Different Background to Data Science

Pham - Nhan - Tu - Tien - Quyen - 1-200

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 السادس 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

www.radiosunna.com | موقع إذاعة السنة
https://t.me/radiosunna | قناة إذاعة السنة
http://bit.ly/sunnapp | التطبيق
https://linktr.ee/ahmadbazmool
40 kbps

شرح أصول في التفسير للشيخ أحمد بازمول

شرح أصول في التفسير للشيخ أحمد بازمول - 013

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

The SuperDataScience Podcast: Machine Learning | AI | Success

SDS 439: Deep Learning for Machine Vision

Kate Strachnyi joins us to discuss her work in data visualization education from conferences to published books as well as her tips for visualization best practices.

In this episode you will learn:
• What does Kate do (from her children’s perspective) [1:56]
• What kind of tools does Kate employ? [5:19]
• Kate’s day-to-day [13:03]
• DATAcated Conference [16:03]
• How do you amass a big LinkedIn following? [20:39]
• Kate’s four published books [29:55]
• The guidelines to follow to succeed in this field [37:00]
• What’s next for Kate? [41:24]

Additional materials: www.superdatascience.com/441

SDS 441: Communicating Data Effectively

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

Michael Segala joins us to discuss how machine learning can provide creative and novel solutions to longstanding problems in both the private and public sectors.

In this episode you will learn:
• SFL Scientific [4:20]
• SFL’s example work [10:55]
• Public sector vs private sector work [20:28]
• Michael’s day-to-day [30:18]
• What is Michael looking for in the people he hires? [33:38]
• Michael’s career journey [41:39]
• What is Michael excited about for the future? [48:38]

Additional materials: www.superdatascience.com/447

SDS 447: Commercial ML Opportunities Lie Everywhere

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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