superdata

SuperDataScience

Data science

DataScience

superdatascience

In this session of the Super Data Science Podcast, I chat with machine learning expert Hadelin de Ponteves about his work at Google, Canal+ and what career implications may come from the rapid growth of the Data Science field.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/2

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

SDS 002 : Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves

In this session of the Super Data Science Podcast, I chat with Up and Rising Tableau Expert Megan Putney. You will know about how Megan started with Tableau through online learning, learn about know about Ad Hoc Analytics and gain some powerful Tableau insights.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/12

SDS 012 : Online Learning, Tableau Insights and Ad Hoc Analytics with Megan Putney

What can you start doing today to be able to get your dream job in data science?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/38

SDS 038: How to Get a Job in Data Science

In this episode of the SuperDataScience Podcast, I chat with Kaggle Grandmaster Eu Jin Lok. You will be able to know how to forecast year-ahead hospital stays using an ensemble of algorithms, discover feature extraction in a credit scoring model, discuss his great competition experiences and be able to get ideas on how to be involved in a Kaggle competition.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/45

SDS 045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok

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

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

In this episode of the SuperDataScience Podcast, I chat with the Chief Data Officer at Ziff, Ben Taylor. You will discuss about the future of AI & what the world of future could look like, learn about the different approaches to Deep Learning revolution, and also get to know the consequences of the oncoming AI developments.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/85

SDS 085: The AI Revolution – What the Future Will Look Like

Are you excited to see how Data Science GO 2018 will propel your career forward?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/152

SDS 152: Data Science GO 2018

Are you willing to make the digital shift to be a model-driven business?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/212

SDS 212: Model Driven Vs Data Driven

In this episode of the SuperDataScience Podcast, I chat with the legends of visualization, Andy Kriebel and Eva Murray. You will learn about visualization and why it is important for data scientists and machine learning experts to know how to visualize data. You will also hear some amazing tips from their brand new creation, MakeoverMonday the Book. 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/213

SDS 213: Amazing Tips from Two Legends of Visualization

In this episode of the SuperDataScience Podcast, I chat with the full stack web developer and aspiring data scientist, Brian Dowe. You will hear what is like to go from developer to data scientist and how to integrate data science in your career as a developer. You will learn about the development, deployment and maintenance life cycle of models in business and you will hear some ideas on modeling in general.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/215

SDS 215: Integrating Data Science as a Developer

What do you think is the most significant application of data science in the healthcare industry so far?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/216

SDS 216: Data Science In Healthcare

What’s the first thing you’ve written on the list of things that you should be grateful for?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/218

SDS 218: Start A Great Day

In this episode of the SuperDataScience Podcast, Hadelin de Ponteves and I discuss the accuracy rate of the predictions we made for 2018. We also discuss the key AI and technology trends to look out for in 2019 which can help you structure your carrier and design your path through technology.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/223

SDS 223: Data Science Trends for 2019

How can you use data science to help keep the energy industry helpful and ethical towards the planet and future generations?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/272

SDS 272: Data Science in Energy

In this episode of the SuperDataScience Podcast, I chat with Matthew Rosenquist, one of the top leading world experts in the space of cybersecurity. You will learn what balance in cybersecurity means and what the dark web is. You will hear how Matthew's career developed and how he thinks about the strategy of cybersecurity. You will also learn about the valuable role of data science in cybersecurity and the steps you can take to get into this space.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/273

SDS 273: Predict, Prevent, Detect: Cyber Security

What has happened to you recently that could call for clarity from a mentor or coach?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/274

SDS 274: Ask the Right Question

In this episode of the SuperDataScience Podcast, I chat with the Machine Learning Research Scientist, John Langford. You will hear about unsupervised, supervised learning and reinforcement learning, and the differences between the three. You will learn about applications of contextual bandits and reinforcement learning in general, YOLO style algorithms versus simulator algorithms, technics for avoiding local optimums. You will also learn about the balance between exploration and exploitation, learning to search and active learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/275

SDS 275: Machine Learning Through Reinforcement & Contextual Bandits

How can you use these processes in your industry? 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/276

SDS 276: Data Science in Wealth Management

В сегодняшнем выпуске у меня в гостях Data Scientist компании Banuba - Вячеслав Архипов. 
Слава провел полный экскурс в мир data sciense и анализа данных. Мы поговорили про нейронные сети, про генетические алгоритмы, про data sets, про big data, про machine learning, про deep learning, про биржевую торговлю, про augmented reality (дополненная реальность) и про многое другое. 
Мощное техническое интервью с математиком!
Так что, заваривайте чаинский и приятного просмотра! 😎

Канал Славы: http://bit.ly/2YUhJiM
Сайт компании Banuba: http://bit.ly/2OMhVgf
Ссылки из выпуска: https://t.me/itbeard/212
Видео-версия выпуска: https://youtu.be/tQYCd8tg56U

Специализация "Data Science" от SkillFactory: http://bit.ly/2YPxq6N
Промокод на получение скидки 10%: АйТиБорода

P.S. Все таймкоды выпуска есть в первом закрепленном комментарии 😉

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#itbeard #айтиборода #datascience

01:02 - Про школу и университет
08:11 - РЕКЛАМА
11:08 - Ретроспектива по работе в Академии Наук
14:43 - Про биржевую торговлю
19:26 - про ЗП в Академии Наук
24:20 - Уход из Академии Наук в преподавание
27:20 - Переход в IT
36:16 - Про задачи в компании
38:17 - Что такое Data analys, Data Sciemce
44:25 - Big Data
45:40 - Кто такой Аналитик
46:06 - Data mining
49:22 - Машинное обучение, Deep learning, Нейронные сети
52:53 - Data Set и обучение нейронных сетей
54:41 - На что можно натравить нейронку
59:05 - Про градации
1:02:34 - Как оценить сколько стоит Data Scientist
1:03:46 - На чем пишут DS
1:06:00 - Специфика разработки алгоритмов под мобильные устройства
1:07:44 - Легко ли переключится в программирование
1:08:54 - Инструменты Data Scientist'а: Tabloo, R, Matematca, Wolfram
1:10:51 - По каким процессам работают Data Scientist'ы
1:13:22 - Немного про компанию Banuba - что за продукты разрабатывают
1:14:10 - Проигрывателей нейросетей
1:16:35 - Продукты, которые используют все - готовые решения и монотонные задачи
1:21:32 - Генетический алгоритм по постройке нейросетей
1:22:37 - Как развиваться что бы стать DS и что вам предстоит пройти
1:26:50 - Минимальные навыки, которыми должен обладать DS	
1:31:25 - Где брать практический опыт
1:35:05 - Что спрашивают на собеседовании
1:36:17 - Источники информации для обучения
1:37:26 - Про хобби: айкидо, фланкировка, преподавание, ютуб
1:45:52 - Про ютуб-канал Славы
1:52:00 - БЛИЦ
2:06:58 - Конкурс

#46 - Всё о Data Science / Big data и дополненная реальность / Интервью с Data Scientist

How does your inner voice compare to your passions?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/290

SDS 290: The Passion Paradox

In this episode of the SuperDataScience Podcast, I chat with founder and CEO at Daisy Intelligence, Gary Saarenvirta. You'll learn about dangerous implicit assumptions, the power of theory and theory versus data. You'll also learn about two types of decisions,  the spacial interaction model, traffic flow model, the concept of dividing the world in two and what humans should be doing, and what artificial intelligence should be doing. You will hear about the difference between artificial intelligence that leverages just data versus artificial intelligence that leverages theory and data, and what advantages that creates.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/291

SDS 291: Changing the World With Theory & Data

How can you find a way to balance your energy through recharging in the way that works best for you?  

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/292

SDS 292: Introverts and Extroverts

In this episode of the SuperDataScience Podcast, I chat with Data Scientist, Peyman Hesami. You will find out what reinforcement learning is and how it works on an intuitive level. You will hear about the differences between reinforcement learning versus classification, or other supervised learning methods, and how it's used for personalization specifically. You will learn about six distinct advantages of reinforcement learning, what role reinforcement learning is going to play in the future of machine learning and why. Also, you will find out how and why Peyman made a career transition to work for a startup, how he's using reinforcement learning, and what is the biggest mistake he has made with reinforcement learning.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/293

SDS 293: True Personalization Through Reinforcement Learning

In this episode of the SuperDataScience Podcast, I chat with my friend and business partner, Hadelin de Ponteves. You will hear what new exciting things are happening in Hadelin's life now. You will hear some preview of his upcoming presentation at DataScienceGO 2019, which will cover NLP, especially the BERT model, which raised a whole new level in NLP. You will also learn about reinforcement learning and Hadelin's new course on Twin-Delayed DDPG.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/295

SDS 295: A Deep Conversation About Tech & Life

Запись на профессию “Веб-разработчик“ от Loftschool: http://bit.ly/2mt8tRk
Промокод на 5% на профессию “Веб-разработчик“ и на все остальные курсы - "itbeard0919"

Долгожданный Node.js в студии. Встречайте Егора Малькевича,  Backend JavaScript разработчика! 
В интервью Егор рассказал как он вошел в IT и уже после года зарабатывал 2,5 тысячи долларов, рассказал для чего нуен node.js, как он работает и с чем его едят. Так же мы затронули react, angular, aurelia, babel, поговолили про event loop, webpack, type script и много чего еще.
Так что, заваривайте чаинский/кофеинский и погнали! 😉

Телеграм Егора https://t.me/wegorelax
Материалы из выпуска: https://t.me/itbeard/236
Видео-версия выпуска: https://youtu.be/qQwcCS8K_K0

P.S. Все таймкоды выпуска есть в первом закрепленном комментарии 😉

___________________________________________________ 

АЙТИБОРОДА В ИНТЕРНЕТЕ: 
 🔹 YouTube - https://youtube.com/itbeard 
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#itbeard #tyoutubersru #nodejs

00:56 - Про школу и университет
03:08 - Про c++
05:18 - Первая работа в ЕПАМ и фриланс
10:21 - РЕКЛАМА
12:08 - Как искали работу на фрилансе
13:31 - Опыт открытия компании
15:42 - Приход к фронтэнду
20:49 - Работа у арабов, аурэль, реакт и ангуляр
26:31 - Что за node.js и зачем она нужна
28:06 - Про event loop
30:02 - Области применения node.js
31:13 - Чем нода лучше других бэкенд-языков
32:32 - Зачем фронтендеру node.js и про webpack
39:34 - Про babel
43:25 - Про TypeScript
47:57 - Про фреймворки на node.js
54:06 - Почему JS говно и игрушечный язык
55:28 - Проект Гудини
58:16 - Какие инструменты используют node.js и почему в JS лучше идти из других языков
01:05:52 - Как и зачем становиться бэкенд-js разработчиком
01:07:14 - Есть ли смысл развиваться в Js-бэкендера с нуля
01:08:08 - Нужно ли бэкендеру знать фронтендеру
01:08:44 - frontend-for-fronted и frontend-for-backend
01:11:45 - Минимальные навыки js-бэкендера
01:15:02 - Самые непроходимые вопросы на собеседовании
01:18:49 - Про electron, ionic и cordova
01:19:31 - Книжки и ресурсы 
01:31:06 - БЛИЦ
01:46:52 - Конкурс

#52 - Всё про Node.js / От 0 до 2,5к долларов за год / Интервью с Backend JS Developer

Долгожданный выпуск о популярном ныне языке Python.
В гостях разработчик компании Todois и просто крутой парень - Олег Шибловский.
В рамках интервью мы пообщались про олимпиадное программирование, про фишки языка, про асинхронность, про популярные фреймворки django, twisted, tornado, flask, sql alchemy, про machine learning & data sciense, про пепы (peps), про развитие и про удалённую работу. Всё как вы любите :)
Так что, наваливайте чаинский/кофеинский в любимые кружки и погнали!😉

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ПАРТНЕР ВЫПУСКА 
Онлайн-курсы для профессионалов "OTUS - Онлайн-образование": http://bit.ly/2pMf4b8
И не забывайте использовать промокод "BORODA2019"! До 24 ноября он даст вам 5000 рублей скидки 😉
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Твиттер Олега:  https://twitter.com/_electronick
Гитхаб Олега: https://github.com/electronick1
Видео-версия выпуска: https://youtu.be/VFBXx7O9BxU
Материалы из выпуска: https://t.me/itbeard/254

P.S. Спасибо Валику и Rubyroid Labs за крутое помещение для съемок: https://rubyroidlabs.com

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______________________________  

00:47 - Про учебу и олимпиадное программирование
07:16 - Пригодилось ли олимпиадное программирование на работе
09:04 - Почему крупные компании хотят к себе олимпиадников
10:04 - Про университетские годы
10:50 - Нужна ли олимпиаднику математика
14:35 - РЕКЛАМА
18:25 - Про начало работы
27:33 - Про работу в Todoist
32:04 - История Python
34:36 - Области применения питона
41:01 - Data Science на пайтоне
44:33 - Самые яркие отличия питона от других языков
49:40 - Про пепы (pep)
54:25 - Асинхронность: GIL, givent
01:06:26 - Tornado
01:08:29 - Twisted
01:09:39 - Фреймворки: django, flask, tornado, django rest framework
01:20:14 - ORM: sql alhemy, pivee
01:23:25 - Big Data, Data Science, Machine Learning, Tensor Flow, keras, numpy, pandas и т.д.
01:31:07 - Программы и окружения, которые используют пайтон-разработчики: IDE, сервера, пакетные менеджеры
01:35:11 - Самый жирный минус Python
01:37:56 - Перспективы языка
01:41:11 - Что знать начинающему Web Python Developer
01:43:08 - Где брать опыт
01:44:40 - Что знать начинающему Data Science Engineer
01:46:38 - Рекомендуемые источники информации
01:51:48 - Про организацию удаленной работы
01:57:04 - Хобби и личные проекты
02:02:38 - БЛИЦ
02:11:03 - КОНКУРС

#айтиборода #ityoutubersru #python

#57 - Олимпиадки, асинхронность и удалённая работа / Всё о Python / Интервью с Python Developer

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 218: Start A Great Day

Super Data Science: ML & AI Podcast with Jon Krohn