With The Best - Channel

With The Best

With The Best

With the Best is the first ever series of online conferences aimed at empowering developers and dev teams - Learn from Rockstar speakers and experts in multiple live tech talks and Q&As on hi-tech topics. Past Conferences include: AI, IoT, Blockchain, Swift, Hadoop, Unity, VR/AR, - Get feedback from experts with bookable 1-to-1 video sessions - You can also study the talks on Replays to sharpen your skills UPCOMING EVENTS Keep up to date with forthcoming conferences on our website!

291 videos

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26:29

Real estate valuations: machine learning approach by Joseph Barr

41:06

Active Learning and Transfer Learning by Lukas Biewald

38:03

Scaling CNNs with Kubernetes and TensorFlow by Reza Zadeh

43:22

Using Bayesian Optimization to Tune Deep Learning Pipelines by Scott Clark

41:23

How to Ruin your Business with Data Science & Machine Learning by Ingo Mierswa

30:04

Visual Question Answering (VQA) by Devi Parikh

27:21

Context-awareness, digressions and randomness in modern chatbot design by Sattisvar Tandabany

39:23

Leveraging Deep Learning and Video Analysis in Law Enforcement by Sanchit Arora

40:31

Data Modeling for Machine Intelligence by Gunnar Carlsson

39:44

Policing The Public Markets with Machine Learning by Cliff Click

32:23

Opportunities for automation in the creation and delivery of software by Debo Olaosebikan

34:03

Random Access Navigation bots by Pierre-Eduouard Lieb

43:29

Achieving Above-Human Performance on Ms. Pac-Man by Reward Decomposition by Harm van Seijen

23:59

Toward understanding social signals by Samuel Kim

41:38

Reinforcement Learning by Melanie Warrick

27:35

Clipper: low latency prediction serving on Kubernetes by Feynman Liang

43:57

Fine-Grained Object Recognition in the Wild: A Multi-Task Domain Adaptation Approach by Timnit Gebru

41:35

Building a Discovery Engine with Machine Learning by Gary Sieling

55:18

Generalizing from Few Examples with Meta-Learning by Hugo Larochelle

26:28

Building Reproducible ML Models by Archa Jain

17:48

Feeding One Billion People with Food from the Public Cloud by Robert Morris

52:41

Recent Advances in Deep Learning by Ruslan Salakhutdinov

39:27

Quantifiable AI by Mert Yasin

28:11

There Is No AI Ethics by Joanna Bryson

32:15

The Rise Of Voice-Activated Assistants In The Workplace by Ahmad Abdulkader

1:07:00

Using Machine Learning to Support Human Creativity by Rebecca Fiebrink

22:23

How To Build an AI Insurance Company by Oliver Christie

23:20

Machine Learning Powered Insights For Marketing Spend Optimization by Nisheeth Ranjan

42:33

Bayesian nonparametric modelling for networks and genomics. by Konstantina Palla

46:43

Deep Learning: Trends and Developments by Rajat Monga

30:45

How to gauge the wisdom of the crowd and avoid spending billions doing it by Gautham Sastri

20:45

Societal Impacts of AI by Sam Altman

39:13

Deep Generative Models by Yoshua Bengio

38:14

Deep NLP Essentials in 30 Mins by Aerin Kim

53:03

The Emergence of Bring Your Own Agent (BYOA) by Dennis Mortensen

24:27

The Migration of AI from Laboratories into Everyday Life by Feiyu Xu

38:13

AI for Social Good by Kirk Borne

36:39

Deep Learning Fundamentals: from modeling strategies up to a complete solution by Yi Wang

37:27

How is Artificial Intelligence shaping the future of health? by Christian Guttmann

39:29

Beyond Deep Learning: The Future of AI by Gerald Friedland

50:07

The Rise of Anticipatory Multi-Objective Machine Learning by Carlos Azevedo

42:52

Real-world Machine Learning: A View From the Trenches! by Francisco Martin

41:06

Prediction and Modeling with Networks by Natalie Stanley

47:58

Recommendation under Constraints by Konstantina Christakopoulou

47:02

Tips and Tricks to Building a Random Forests Classifier by Anna Quach

44:53

Machine Learning in Practice by Behnaz Abdolahi

43:38

word2vec and friends by Bruno Gonçalves

31:52

Challenges in precision medicine: Making machine learning work for healthcare by Deborah Hanus

40:30

The Biological Path Towards Strong AI by Matthew Taylor

49:42

Working with a machine on a software team by Michael Bucko

38:44

Brain-Based Learning Algorithms for Recommendations by Nathan Wilson

24:27

BRAIN vs NANO-CHIP by Marco Bitetto

41:00

The Zettastructure and what it means by Roger Strukhoff

35:18

Structured Light Plethysmography by Shayan Motamedi Fakhr

24:56

Building an Effective Cyber Defense Portfolio by Khadir Fayaz

39:39

Building Toward smartphone application security by Patrick McDaniel

31:22

The next generation of identity verification using the blockchain by Armin Ebrahimi

48:47

Ocean protocol: building a new data economy that gives power to people by Bruce Pon

29:38

Solving entertainment industry problems with blockchain by Dylan Jones

39:57

The token "risk bundle:" applying venture due diligence to cryptocurrencies by Francis Jervis

35:51

Trading stock, bond, and commodity futures on the blockchain by Jim Bai

37:18

An open protocol approach to decentralized exchange by Leonid Logvinov

37:47

Lightning Overview and Development by Max Fang

35:08

Lessons learned from running a dapp that manages lots of money every day by Michael Feng

35:20

Blockchain 101 - for the dummies by Ouriel Ohayon

41:43

ICO 101 - what you should know before launching or participating by Patrick Baron

46:52

Connecting devices with blockchain: the future of Qtum & IoT by Patrick Dai

28:56

Pangea - your blockchain jurisdiction by Susanne Tarkowski Tempelhof

38:28

Smart contract 101 by Vladimir Agaev

36:11

Blockchain & cross-border payments by Will Madden

31:13

Gary Sieling - Using Word2Vec in Postgres

48:00

Ahmed Banafa - First Line of Defense: AI in Cybersecurity

55:21

Andreas Mueller - An Update on Scikit-learn

46:49

Jesus Rodriguez - AI Patterns & Anti-Patterns

58:40

Gene Kogan - AI in the Computational Arts

46:32

Jesus Rodriguez - Decentralized AI for the Rest of Us

57:42

Richard Socher - The Natural Language Decathlon: Multitask Learning as Question Answering

48:28

Balaraman Ravindran - Learning Complex Policies in Deep Reinforcement Learning

1:01:18

Aaron Roth - Ethical Algorithms

1:28:14

Srini Kadamati - How To Get a Job In Data Science

52:07

Sidney Phoon - Extend SPSS Modeler Capabilities with Open Source

49:14

Raj Singh - Automate Data Science Drudgery with Pixiedust

52:31

Kirk Haslbeck - Data Science at Scale – A Platform Decision

1:01:17

Jean Francois Puget - Machine Learning Competitions: Engaging, Learning, and Winning

57:15

Gabriela de Queiroz - Statistics for Data Science: What You Should Know and Why

56:28

Augustina Ragwitz - Level Up your Open SourceRy with Data Science + R

47:25

Make Better, Faster, Smarter Decisions by combing ML and Decision Optimization

1:02:06

Erin LeDell - Scalable Automatic Machine Learning with H2O

53:16

Ted Fischer - Data Science Best and Worst Practices

26:19

Tejaswini Ganapathi - Learning Solution to Optimize Mobile Network Performance

39:34

Guy AlLee - Secure Device Onboarding for IoT

15:52

Priyanka Bagade - Intelligent Infrastructure for Smart Cities Enabled Using Intel and Ge Predix

36:14

V. Kerem Palabiyik - Beyond Industry 4.0

25:15

Gregory Menvielle - IoT Goes into the Real World, What Can Possibly Go Wrong?

40:50

Eyal Hertzog - Using Smart Contracts to Solve the Liquidity Problem for Blockchain WTB November 2017

32:36

David Sønstebø - Beyond Blockchain: IOTA for Blockchain WTB November 2017

28:01

Tim Draper - Blockchain 101- for the dummies for Blockchain WTB November 2017 opening keynote

37:54

Aaron Rinehart - ChaoSlingr: Introducing Security based Chaos Testing for CybersecurityWTB 2017

39:28

Matthew James Bailey - Fog Computing is an imperative ICT technology for Smart Cities

25:58

Silviu Tudor Serban - Smart Everything - Building a Brighter Tomorrow