#037 – Tour De Bayesian with Connor Tann

Connor Tann is a physicist and senior data scientist working for a multinational energy company where he co-founded and leads a data science team. He holds a first-class degree in experimental and theoretical physics from Cambridge university. With a master’s in particle astrophysics. He specializes in the application of machine learning models and Bayesian methods. […]

#60 Geometric Deep Learning Blueprint (Special Edition)

The last decade has witnessed an experimental revolution in data science and machine learning, epitomised by deep learning methods. Many high-dimensional learning tasks previously thought to be beyond reach — such as computer vision, playing Go, or protein folding — are in fact tractable given enough computational horsepower. Remarkably, the essence of deep learning is […]

#TWIMLfest – AI and ML in Physics: Research, Education, and Career

This session aims to connect and advocate for physicists involved in data science. We will be discussing cutting-edge data science applications in physics research, data science education approaches in the physics curriculum, as well as how physicists with AI/ML experience can transfer their skill sets to careers in industry. We also hope this session can […]

#TWIMLfest: Office Hours – Reinforcement Learning

In the Office Hours series, we invite experts and practitioners in various topic areas for AMA (ask-me-anything) style sessions to answer community member questions. The intent is to answer technical questions and/or help participants advance their specific projects and interests. This week’s topic will be centered on Reinforcement Learning! Resources: Show notebooks in Drive – […]

2.2: Pandas and Anaconda Python for Data Science and Deep Learning (Module 2, Part 2)

More on Pandas and how to process dataframes and perform calculations. This is geared towards using pandas with Keras and Tensorflow. This course is taught in a hybrid format at Washington University in St. Louis; however, all the information is online and you can easily follow along. T81-558: Application of Deep Learning, at Washington University […]

2030 Vision: Can Data Science Improve Lives of the Disadvantaged? | CogX 2019

Join the CogX Global Leadership Summit and Festival of AI and Breakthroughs Technology – June 8th to 10th 2020 – https://cogx.co/ Subscribe to our epic newsletters for free https://cognitionx.com/newsletter-subscribe/ 2030 Vision: Can Data Science Improve Lives of the Disadvantaged? Presentation given at CogX 2019, on the Future of Work and Education. Tariq Khokhar; Chief Data […]

5 Beginner Friendly Steps to Learn Machine Learning

This video breaks down practical steps on how to learning machine learning with Python. It’s the video I wish I had watched when I started learning machine learning. My machine learning course – https://dbourke.link/mlcourse Blog post version of this video – https://dbourke.link/5stepstoml Learn all of this in one place on DataCamp – http://bit.ly/datacampmrdbourke Bonus: A […]

50K Subscribers for my Coding Machine Learning Channel

My channel hit 50K subscribers on YouTube!! Thank you everyone for the support and your interest in my channel. In this video I discuss taking a small YouTube channel to 50K and beyond, how I used side projects and social media channels, such as Twitter, GitHub, and Medium. For YouTube I use a Canon M50 […]

Advancing Your Data Science Career During the Pandemic

The global pandemic has impacted us all, changing the career landscape for many, and creating disruption and uncertainty. The US is currently experiencing its worst unemployment rate in nearly a century, and the data science and machine learning communities are no exception. In this discussion, we will explore ways that Data Scientists and ML/AI practitioners […]

Agile Applied AI Research with Parvez Ahammad – #492

Today we’re joined by Parvez Ahammad, head of data science applied research at LinkedIn. In our conversation, Parvez shares his interesting take on organizing principles for his organization, starting with how data science teams are broadly organized at LinkedIn. We explore how they ensure time investments on long-term projects are managed, how to identify products […]

AI + X: Don’t Switch Careers, Add AI

Welcome to AI +X: don’t switch careers, add AI – the official kickoff event of our brand new 2021 event series AI +X in collaboration with Workera. AI + X is a series designed to share the latest AI trends, applications, opportunities and challenges in various industries, and to provide guidance on how AI practitioners […]

AI Enterprise Workflow Study Group – Course 1 Week 2

This is the recording from the second meeting of our AI Enterprise Workflow study group, recorded on Saturday Feb 29th. Week two dove deeper into data ingestion and featured a case study/project that reinforced the principles discussed in the lectures. Specific topics discussed this time include: – Data ingestion – ETL, etc. – Data science […]

AI for Social Good: Why “Good” isn’t Enough with Ben Green – #368

Today we’re joined by Ben Green, PhD Candidate at Harvard, Affiliate at the Berkman Klein Center for Internet & Society at Harvard, Research Fellow at the AI Now Institute at NYU. Ben’s research is focused on social and policy impacts of data science, with a focus on algorithmic fairness, municipal governments, and the criminal justice […]

All Python Libraries You Need For Machine Learning And Data Science

All Python Libraries You Need For Machine Learning, Deep Learning, And Data Science. Blog on your personal domain and grow your audience without any annoying pop-ups/ads. Start now on https://hashnode.com * ————————————————- Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * 🪁 […]

An introduction to MLOps with TensorFlow Extended (TFX)

Deploying advanced machine learning technology to serve customers and/or business needs requires a rigorous approach and production-ready systems. An ML application in production requires modern software development methodology, as well as issues unique to ML and data science. Hear about the importance of MLOps, the use of ML pipeline architectures for implementing production ML applications, […]

Anaconda Tutorial – Installation and Basic Commands

Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook In this Tutorial I show you how you can install and use Anaconda. Anaconda is a free Python distribution specifically designed for scientific computing. It’ great for data science and machine learning tasks. In this video you can learn: – Installation – Manage multiple virtual Python environments – Package […]

Applied Data Science with Python on Coursera Progress | Learning Intelligence 45

Special thanks to Coursera for offering to sponsor this video. I love joining forces with epic people and Coursera has a whole team of them! Applied Data Science with Python Specialization on Coursera – http://bit.ly/courseraAppliedDS CONNECT: Web – http://bit.ly/mrdbourkeweb Quora – http://bit.ly/mrdbourkequora Medium – http://bit.ly/mrdbourkemedium Instagram – http://bit.ly/mrdbourkeinstagram Twitter – http://bit.ly/mrdbourketwitter LinkedIn – http://bit.ly/mrdbourkelinkedin Email […]

Are courses enough for a job? | Machine learning engineer livestream Q&A

Let’s talk machine learning, health, business and more. Timestamps: 0:00 – Intro 2:09 – No more mullet 4:40 – QA Start 4:50 – Is AI mostly overhyped? 9:40 – Does the TensorFlow developer certification give you an edge in interviews? 15:05 – How much experience do you have in Jiu Jitsu? 16:34 – What computer […]

Arun Subramaniyan discusses probabilistic modeling (TensorFlow Meets)

In this episode of TensorFlow Meets, Laurence Moroney sits down with Arun Subramaniyan, VP Data Science & Analytics at BHGE Digital to discuss probabilistic modeling. BHGE’s Physics-based, Probabilistic Deep Learning Using TensorFlow Probability – Part 1: http://bit.ly/2INVz97 Part 2: http://bit.ly/31XBRiX Part 3: http://bit.ly/2xbulmm TensorFlow Meets Playlist → http://bit.ly/2XFlRiM Please remember to subscribe to the TensorFlow […]

Ask a Machine Learning Engineer Anything (live) | April 2020

Machine Learning Engineer Daniel Bourke answers your questions about life, machine learning, business, getting a job and more. This live video was originally supposed to be on YouTube except the stream stopped twice due to copyright violations (no idea what these were). So it was recorded on Twitch and reposted instead. Thank you to everyone […]

Automated Machine Learning with Erez Barak – #323

In the final episode of our Azure ML series, we’re joined by Erez Barak, Partner Group Manager of Azure ML at Microsoft. In our conversation, we discuss: Erez’s AutoML philosophy, including how he defines “true AutoML” and his take on the AutoML space, its role and its importance. We also discuss in great detail the […]