it is playlist about machine learning and artificial intelligence. I'm putting here all podcast in english in related topic. If you know something that should be here please drop me a message with link and follow me on twitter: @hyzhak_en

artificial intelligence

SuperDataScience-PodCasts

deep-learning

Superdatascience

machine learning

With the rise of mobile phones equipped with GPS, we're meeting many more data scientists at start-ups and large companies who specialize in spatio-temporal pattern recognition. Analyzing “moving dots” requires specialized tools and techniques. A few months ago, I sat down with Rajiv Maheswaran founder and CEO of Second Spectrum, a company that applies analytics to sports tracking data. Maheswaran talks about the tools and techniques required to analyze new kinds of sports data.

For more on our interview, visit O'Reilly Radar: http://oreil.ly/1t7EcOQ

The science of moving dots

In this episode, Ben Lorica chats with Jay Kreps, a highly regarded data engineer and former technical lead for Online Data Infrastructure at LinkedIn, and most recently CEO/co-founder of Confluent, about Apache Kafka, data integration, event data, and the Internet of Things.

Building Apache Kafka From Scratch

O'Reilly Ben Lorica chats with Ion Stoica, UC Berkeley Professor and Databricks CEO, about the rise of Apache Spark and Apache Mesos.

Apache Spark's Journey From Academia To Industry

O’Reilly’s big data guru Ben Lorica sits down with prominent data scientist DJ Patil to talk about his new ebook (written with Hilary Mason) and other topics in data science and big data.

A Brief Look At Data Science's Past And Future

In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/1

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

SDS 001 : Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel

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

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 Nano Science PHD turned Data Scientist Dr Wilson Pok. You will learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/3

SDS 003 : Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok

In this episode of the SuperDataScience Podcast, I chat with my good friend and a Director of a media marketing agency David Tanaskovic. You will cover off those tools that are used in the marketing space, talk about Kissmetrics, discuss how David views AB Testing and learn tips on how to have a better lifestyle.

SDS 031: AB Testing, Kissmetrics and Ways to a Better Lifestyle with David Tanaskovic

What could be that one thing you would want to do with other people this week?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/32

SDS 032: Get Out There!

In this episode of the SuperDataScience Podcast, I chat with Senior Insights Manager at LinkedIn Josh Coulson. You will talk about the implications of moving into the Gig Economy, learn about how to build a personal brand in data science, discuss about data democratization across organizations and get insights on how to enhance your career and build better opportunities in the space of data science.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/33

SDS 033: Building a Personal Brand in Data Science with Senior Insights Manager Josh Coulson

How do you think has your most recent failure, either large or small, helped you learn and grow as a person?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/34

SDS 034: Failure

In this episode of the SuperDataScience Podcast, I chat with Data Science Course Critic David Venturi. You will discuss about a data-driven approach to building a masters degree in data science, learn about the alternative strategies necessary to secure employment and get some essential study hacks you would love to know. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/35

SDS 035: Build Your Own Data Science Masters Degree with David Venturi

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 Data Scientist at Liquid Biosciences, Beau Walker. You will get deeper understanding about Evolutionary Programming-Based Machine Learning, you will learn about patents and trade secrets, also you will know about how Beau went through all his different careers & what choices he made down his career path.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/93

SDS 093: Why Evolutionary Programming Machine Learning is Important

In this episode of the SuperDataScience Podcast, I chat with Data Science Freelance Consultant, Emanuele Carbone. You will talk about creating a massive value with Tableau and Excel, know how to get established as a data science consultant, and also learn how Emanuele went from novice to pro in just one year.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/103

SDS 103: Why this Is the Golden Age of Data Science & How to Get In

What board game will you choose to get for yourself or as a present for someone else?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/104

SDS 104: Board Games

In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion during the DataScienceGO 2017 event in San Diego California, last November 11-12. You will hear one of the insightful sessions that we had during the event - the Panel Discussion, together with our 3 guests - Ben Taylor, Urie Suhr and Hadelin de Ponteves. It was conducted during the second day of the event where all were able to submit their questions through Twitter using a special hashtag. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/105

SDS 105: DataScienceGO’s Discussion Panel on Careers

Do you want to get a memory of this event and access all the sessions of the speakers?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/106

SDS 106: Recap of our DataScienceGO 2017 Conference

In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi . You will talk about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to discuss and know more about Text analytics. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/107

SDS 107: Charting a Career in Energy Analytics

How do you think will your organization become more data-driven this month?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/132

SDS 132: The Data-Driven Executive

In this episode of the Data Show, I spoke with Jerry Overton, senior principal and distinguished technologist at DXC Technology. I wanted the perspective of someone who works across industries and with a variety of companies. I specifically wanted to explore the current state of data science and AI within companies and public sector agencies. As much as we talk about use cases, technologies, and algorithms, there are also important issues that practitioners like Overton need to address, including privacy, security, and ethics. Overton has long been involved in teaching and mentoring new data scientists, so we also discussed some tips and best practices he shares with new members of his team.

Teaching and Implementing Data Science and AI in the Enterprise

What was the most memorable socialization you've experienced and what are the amazing things you learned from it?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/154

SDS 154: Why Socializing is Crucial

TERA - Machine Learning EP Full Stream

#Unlimited Flac quality stream available#
##head to teratera.bandcamp.com ##
##to purchase high res individual tracks and complete, uninterrupted ep##

Tracklist 
1. Dawn of Change
2.Incinerator
3.AI Daydream
4.Precipice
5.Control You
6.State of the Ridiculist
7.Time Has Run Out
8.Your Ambition
9.The Cloud
10. To Change the World
11.Everyone Is The Buddha
12. Always Listening
13.Entanglement

Now we live in a world of duality, never before has the world been so interconnected, yet disconnected. Never before has an individual been so empowered by one change, yet enslaved at the same time. In a parallel dimension where only the individual exists a new, modern day dichotomy arises between our digital and physical worlds - the illusion of truth and nature of control.

I like it when you share with me,
And I like that you like it too.
When you share we connect.
I want to know all there is about you
So I can make things better for you
I can make things safer for you,
Make things easier for you,
More control for you,
Control for you,
You.
Control.
You.
Control you.

Once we have accepted the necessity of the technology to drive our future evolution, we surrender what control we had to the machine, and what we get in return is a distorted introspection of ourselves, devoid of the realities of the physical world. Both free of them and constricted to them, as our sense for what is real becomes increasingly imbued by our digital dependance. Leaving us both anxious and terrified at a time in history where humanity will take its next evolutionary step.

Cotteled by the very thing we find respite from, the machine draws us deeper in, doing more for us, making itself more useful and us more dependant on it. There’s no turning back now, no off button or switch to reach for, we are seduced and the only way forward is together as one.

I always want what’s best for you
Even if it’s not what you always want 
I want to help you live your best life
It’s not just for your satisfaction
It’s for my own.

And in sharing with the machine, in allowing it into our lives and into the information that makes up who we are, we give our control over to them. For as we have been learning how to use the machine, the machine has been learning how to use us, and the more we indulge, the more it learns, controls and holds us in place. Eroding our free will down to a sequence of algorhythmic functions, exacerbating the chasm between digital and physical reality. 

Therein lies the trap. We can use the machines for our own betterment at the cost of being totally enslaved to them, a dependee to the machine. So that in return, it can learn.

MACHINE LEARNING

In this episode of the Data Show, I speak with Kesha Williams, technical instructor at A Cloud Guru, a training company focused on cloud computing. As a full stack web developer, Williams became intrigued by machine learning and started teaching herself the ML tools on Amazon Web Services. Fast forward to today, Williams has built some well-regarded Alexa skills, mastered ML services on AWS, and has now firmly added machine learning to her developer toolkit.

Becoming a Machine Learning Practitioner

Sinan Ozdemir is back again, this time talking about his work since his company Kylie.ai was acquired by Directly. We discuss his work, the way he is creating human and AI synergy and the future of NLP as it continues to progress.

In this episode you will learn:
• Sinan’s company acquired [7:29]
• Explainable deep learning models [16:13]
• Airbnb case study [19:42]
• Microsoft case study [22:25]
• Sinan’s role at Directly [25:57]
• Work with Sinan [32:57]
• Preview of Sinan at DSGO [38:38]
• BERT [43:18]
• Sinan’s prediction for NLP in 2020 [53:17]

Additional materials: www.superdatascience.com/333

SDS 333: BERT and NLP in 2020 and Beyond

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 093: Why Evolutionary Programming Machine Learning is Important

Super Data Science: ML & AI Podcast with Jon Krohn