Podcasts about science dream

Stranger Science : Dream It Do It Special by PSU Broadcast FM88 MHz

Bobby Bucys - Gypsy Sol Radio - 3/6/23 Tracklist: 1. John Carrol Kirby - Dance Ancestral  2. Sons & Daughters Of Lite - Let The Sunshine In  3. The Zenmenn - Into The Heart Of The Matter  4. Eddie Chacon - Holly Hell 5. Don Blackman - Hearts Desire  6. Tavares - Bad Times  7. Tom Brock - I Love You More And More  8. The Defaulters - Gentle Man  9. Mr Fingers - Touch The Sky  10. Mr Fingers - What About This Love  11. Dream 2 Science - Dream 2 Science  12. Lorraine Chambers - You've Gone  13. Paprika Soul - Come With Me  14. Roy Ayers - Chicago  15. Omar S - Ready My Black Ass 16. Paranoid London - Suck A Dick 

Mike Zani (The Predictive Index, CEO), runs The Predictive Index, a talent optimization platform that uses over 60 years of proven science and software to help businesses design high-performing teams and cultures, make objective hiring decisions and inspire greatness in people. Mike is also the co-founder and partner at Phoenix Strategy Investments, a private investment fund. An avid sailor, he was the coach of the 1996 US Olympic Team. Mike's newly released first book “The Science of Dream Teams” provides entrepreneurs and leaders with actionable advice on how to win starting with your talent and human resources strategy. Lot's of aha moments in this episode, let's jump right in!

Harpreet Sahota joins us to discuss his data science mentorship work outside his day job and how you can land your dream job. In this episode you will learn: • Harpreet’s current life and location [2:25] • Data Community Content Creator Awards [8:37] • The Artists of Data Science Podcast [14:46] • Data Science Dream Job [24:18] • Harpreet’s day job at Price Industries [30:48] • Coming in data science from a non-data background [40:55] • Tools and skills to know [47:57] Additional materials: www.superdatascience.com/457

• DTW FM #199 • Hosted by: Marcoweibel @marcoweibel + Mawkus @mawkus Show #199 • Special guest Willy Soul(@willysoul) TRACKLIST: Mawkus: Ana Mazzotti - Agoura Ou Nunca Mais Ezra Collective - Space Is The Place Planet Giza - Brk Frm Nrml Moonchild - Too Much To Ask Cezaire - Je Plane Jim Jones - Pity In The Summer La Playa Sextet - Con Mi Guaguanco Okoi Seka Athanase - Melokon Memdum Zotobre - Lagen Goddard - Signals Black Noi$e - Potato Salad L-Vis 1990 - eDrumz Ouri - A Nun’s VVet Dream Sauce Walka - 300 Blunt Chris Crack - Todo Rosado Willy Soul: Kali Ulcis - After The Storm (Pete Rock Remix) Sylvia Striplin - Can’t Turn Me Away Santana - Eternal Caravan of Reincarnation (Willy Soul Dubplate Edit) Ronnie Jordan - On The Record Willy Soul - Deeper Mindsets in Funk (Ft. Javontte & Dominica Fossati) Erykah Badu - I Want You (Willy Soul Dubplate Edit) Skymark - Flying Fantasy Zero 7 - Distractions (Bugz In The Atticz Remix) Al Trio Mocoto - De Hoje Nao Passa (Willy Soul 110 Edit) Marco Weibel: Dominic J Marshall - DMT Tino Contreras - El Hombre Cosmico Pinder - Get With Me Marina Trench - Waterside Jad & The - 303 To TXL Photonz - Shakti Dream 2 Science - Dream 2 Science Javontte - Remember Nemesis - I Need U So Bad Tristan Arp - Reflex Om Unit - Runes www.thelotradio.com instagram.com/thelotradio facebook.com/thelotradio twitter.com/thelotradio @thelotradio

2019 has been a busy year for emerging technologies, especially for artificial intelligence (AI). From healthcare to financial services; from digital surveillance to education, new use cases have come and gone – along with news headlines on the dangers and opportunities of such power.Slowly – but surely though, AI is beginning to transform financial institutions’ relationship with their customers, as well as their relationship with money. From mobile banking, customer service, and beyond, incumbents and startups have been deploying various tools that serve to provide a more seamless customer experience. Combined with advanced data analytics, financial institutions can now empower consumers to “self-drive” their finances towards a desired goal, instead of merely providing insights based on historical transaction data (e.g. how much did I spend on Starbucks last month.) No wonder many in the business consider AI to be a must-have in order to remain relevant and competitive.Join Theo in this week’s new episode of “The Other 50”, where she talked with Joyeeta Das, CEO of Gyana, about the promise and peril of artificial intelligence, and why it is important to dream. See acast.com/privacy for privacy and opt-out information.

2019 has been a busy year for emerging technologies, especially for artificial intelligence (AI). From healthcare to financial services; from digital surveillance to education, new use cases have come and gone – along with news headlines on the dangers and opportunities of such power.Slowly – but surely though, AI is beginning to transform financial institutions’ relationship with their customers, as well as their relationship with money. From mobile banking, customer service, and beyond, incumbents and startups have been deploying various tools that serve to provide a more seamless customer experience. Combined with advanced data analytics, financial institutions can now empower consumers to “self-drive” their finances towards a desired goal, instead of merely providing insights based on historical transaction data (e.g. how much did I spend on Starbucks last month.) No wonder many in the business consider AI to be a must-have in order to remain relevant and competitive.Join Theo in this week’s new episode of “The Other 50”, where she talked with Joyeeta Das, CEO of Gyana, about the promise and peril of artificial intelligence, and why it is important to dream. See acast.com/privacy for privacy and opt-out information.

The way you organize your data science team will greatly affect your business’s outcome. This episode discusses different structures for a data science team, as well as top down versus bottom up approaches, how to get data science solutions into production organically, and how to be part of the business while remaining in contact with other data scientists on the team. Mark Lowe: Having lived through small scale, two people working, to large scale, thousands of people in your organization, the way that you organize the data science team has dramatic effect on its productivity. Ginette Methot: I’m Ginette, and I’m Curtis, and you are listening to Data Crunch, a podcast about how applied data science, machine learning, and artificial intelligence are changing the world. Data Crunch is produced by the Data Crunch Corporation, an analytics training and consulting company. Building effective data science processes is tough. Mode, the data science platform, has compiled three tips to make it a bit easier: don’t over plan, there’s no one process that fits everyone, and waste time. That’s right. Waste time. Read more at mode.com/dsp M O D E.com/D S P. Today we’re going to talk about effective ways you can organize your data science team, and we’ll hear lots of great insights from our guest. Let’s get to it. Mark: My name is Mark Lowe. I’m currently the senior principal data scientist here at Valassis. Curtis Seare: Describe just a little bit about what Valassis does. Mark: So we work with pretty much every major manufacturer retailer in the U.S. Our work kind of runs the gamut in terms of solving problems for them in terms of how do I influence customers. And so we manage a lot of print products that go reach every household, every week and of course a lot of digital products. So everything from display advertising, campaign, search campaign, social. Pretty much any distribution mechanism that can influence customers, we try to use those channels. Curtis: And in working on these problems we talked a little bit about earlier what the approaches for data science. Some people try to bin it in a software development kind of a role, an agile role, and how that usually doesn’t work for data science cause it’s more of an experimental type of a thing. Can you comment on its similarities and differences and how you should be approaching data sites? Mark: I think that’s a great question. Honestly, if you, if you asked me 10 years ago if this was an interesting question, I would have found it very boring. But having, having lived through small-scale, two people working, to large scale, thousands of people in your organization, the way that you organize the data science team has dramatic effect on its productivity, and there’s no one size that fits all. Honestly, you kind of have to cater the organization of the data science team to where the company is. For example, the two common models that are deployed and, and we’ve, we’ve lived in both of them is kinda thinking about data science as an internal consulting group. So I have a a pool of data scientists. Stakeholders throughout the company come to me and ask, they say, “I have this problem. I think it needs data science” and then the data science lead or team. Yes, we do need a data scientist working on that. Here’s a person with that specialty. So kind of farming out individuals on the team to solve particular problems. So it’s a fairly centralized organization and that, you know, there’s a lot of benefits to that. One, you’ve got strong sense of community as a team. Oftentimes you’re very tightly organized together. You function as a data science unit. You can try to make sure that you’re putting the right skillset for the right problem. As you know, as you’ve talked to that, there’s, there is no one definition of data science, there’s no one skillset. So oftentimes the data science team has a mixture of skills across the team,

Chubby! on Facebook: www.facebook.com/chubbyrecords @earlgreyradio DJ Earl Grey (aka Nik Thorup) is constantly digging for hip-shakers, heart-string-tuggers and hammock-bangers from all around the world. In 2015, he took up a Friday night residency at Freda’s in Sydney, where he has the freedom to play anything he desires. For this Chubby mix he has put together some of his favourite House music including some 90’s underground classics and contemporary non-hits. This set is for dancers and deep sea divers alike. Track-List: Larry Heard - Flight of the Comet [Alleviated] Le Club - Un Fait Divers et Rien de Plus [Favorite Recordings] Apiento & Co - ESP [Gold Channel Recordings] Henry Wu - Dubplate Special [Rhythm Section International] Sweat the Detail - Bell Boys [Star Creature] Ease Out - Benedek [People’s Potential Unlimited] Sully - The Simple Things (Ozone Remix) Amin Peck - Coda [Connection] Nese Karaböcek - Yali Yali (Todd Terje Edit) Unknown DJ - Basstronic (Instrumental) [Techno Kut Records] Metro - Brownstone Express [Nu Groove] Dream 2 Science - Dream 2 Science [Rush Hour Recordings] House of Doors - Burmstar [Mood Hut] Young Marco - Later Thank U Think [ESP Institute] I-Level - No. 4 [Virgin]

Samanta Fox, the super-energetic duo from Berlin are providing the next installment of our LUVCAST mix series. As workhorses for the fabled “Salon zur wilden Renate”, Samanta Fox have recently released a great little EP on Renate Schallplatten alongside Snuff Crew´s “Snuffo” (including a brilliant Skatebard remix). Alongside their work as Renate floor managers, they’re co-hosting the Radio Renate shows as well as the Whiskey Tango Foxtrott nights at Renate. Their taste in music is anything but linear; definitely a bit more techno than disco, but always surprising in a good way! Treat your ears with LUVCAST 018! TRACKLIST: 01. Jingles From U.S.A. (Volume 5) – Dance 02. Virgo Four – Sexual Behaviour 03. Mike Dunn Meets Victor Simonelli & Luis Radio – Nothing Stays The Same (Melon Remix) 04. DJ T. – Bite 05. Christopher Rau – Mehris Groove 06. Gemini – We Are The Future 07. The Fancy Pop – Hypnotized 08. Jus-Ed – Yo This Shit is Hot! 09. Fuckpony – Body Movement 10. Steffi – 24 Hours 11. Rompante – Treat (Charles Webster Remix) 12. Dream 2 Science – Dream 2 Science 13. Metro – Brownstone Express 14. Marvin Sease – Love Machine http://www.facebook.com/gofoxyourself http://www.renate.cc

Desolate - Teariness of Lemnia Cottam - Sunrise Sunset Kowton - Dirty Little Bomb Acress - R.I.P. Dusky - Someone Like You Elgato - Zone Dream 2 Science - Dream 2 Science San Proper - Rattle (Station 2 Station) STL - Silent State Terranova Feat. Tomas Hoffding - Question Mark (KiNK Remix) Maya Jane Coles - Not Listening Radio Slave Feat. Danton Eeprom - Grindhouse (Dubfire Terror Planet Remix) Agoria - Speechless (Carl Craig Remix) The Traveller - A 100