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Fun videos to inspire, intrigue and stir your imagination from some of the world's leading thinkers and doers onstage at the TED conference, TEDx events and partner events around the world. You can also download these and many other videos free on TED.com, with an interactive English transcript and subtitles in up to 80 languages. TED is a nonprofit devoted to Ideas Worth Spreading.
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We talked about: 00:00 DataTalks.Club intro 02:34 Career journey and transition into MLOps 08:41 Dutch agriculture and its challenges 10:36 The concept of "technical debt" in MLOps 13:37 Trade-offs in MLOps: moving fast vs. doing things right 14:05 Building teams and the role of coordination in MLOps 16:58 Key roles in an MLOps team: evangelists an…
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We talked about: 00:00 DataTalks.Club intro01:56 Using data to create livable cities02:52 Rachel's career journey: from geography to urban data science04:20 What does a transport scientist do?05:34 Short-term and long-term transportation planning06:14 Data sources for transportation planning in Singapore08:38 Rachel's motivation for combining geogr…
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We talked about: 00:00 DataTalks.Club intro 00:00 DataTalks.Club anniversary "Ask Me Anything" event with Alexey Grigorev 02:29 The founding of DataTalks .Club 03:52 Alexey's transition from Java work to DataTalks.Club 04:58 Growth and success of DataTalks.Club courses 12:04 Motivation behind creating a free-to-learn community 24:03 Staying updated…
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We talked about: 00:00 DataTalks.Club intro 08:06 Background and career journey of Katarzyna 09:06 Transition from linguistics to computational linguistics 11:38 Merging linguistics and computer science 15:25 Understanding phonetics and morpho-syntax 17:28 Exploring morpho-syntax and its relation to grammar 20:33 Connection between phonetics and sp…
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0:00 hi everyone Welcome to our event this event is brought to you by data dos club which is a community of people who love 0:06 data and we have weekly events and today one is one of such events and I guess we 0:12 are also a community of people who like to wake up early if you're from the states right Christopher or maybe not so 0:19 much because…
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In this podcast episode, we talked with Guillaume Lemaître about navigating scikit-learn and imbalanced-learn.🔗 CONNECT WITH Guillaume LemaîtreLinkedIn - https://www.linkedin.com/in/guillaume-lemaitre-b9404939/ Twitter - https://x.com/glemaitre58Github - https://github.com/glemaitreWebsite - https://glemaitre.github.io/🔗 CONNECT WITH DataTalksClubJ…
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Links: LinkedIn:https://www.linkedin.com/company/frontline100/ Ba Linh Le's LinkedIn: https://www.linkedin.com/in/ba-linh-le-/ Sabrina's LinkedIn: https://www.linkedin.com/in/sabina-firtala/ Twitter: https://x.com/frontline_100?mx=2 Website: https://www.frontline100.com/ Free LLM course: https://github.com/DataTalksClub/llm-zoomcampJoin DataTalks.C…
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We stream the podcasts on YouTube, where each session is also recorded and published on our channel, complete with timestamps, a transcript, and important links.You can access all the podcast episodes here - https://datatalks.club/podcast.html📚Check our free online coursesML Engineering course - http://mlzoomcamp.comData Engineering course - https:…
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The nuclear family model may no longer be the norm in the US, but it's still the basis for social and economic benefits like health care, tax breaks and citizenship. Lawyer and LBGTQIA advocate Diana Adams believes that all families, regardless of biological relationship or legal marriage, are deserving of equal legal rights and recognition. They p…
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Fathers have a profound impact on their children's lives, yet an estimated ten million kids in the US see their dads less than once a month. Through his advocacy and mental health center, therapist Charles C. Daniels, Jr. empowers fathers to be more present by providing mentorship and community, so they learn to forgive their own shortcomings and, …
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We talked about: Erum's Background Omdena Academy and Erum’s Role There Omdena’s Community and Projects Course Development and Structure at Omdena Academy Student and Instructor Engagement Engagement and Motivation The Role of Teaching in Community Building The Importance of Communities for Career Building Advice for Aspiring Instructors and Freela…
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We talked about: Vincent’s Background SciKit Learn’s History and Company Formation Maintaining and Transitioning Open Source Projects Teaching and Learning Through Open Source Role of Developer Relations and Content Creation Teaching Through Calm Code and The Importance of Content Creation Current Projects and Future Plans for Calm Code Data Proces…
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Links: Biodiversity and Artificial Intelligence pdf: https://www.gpai.ai/projects/responsible-ai/environment/biodiversity-and-AI-opportunities-recommendations-for-action.pdf Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcampJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club…
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We talked about: Anahita's Background Mechanical Engineering and Applied Mechanics Finite Element Analysis vs. Machine Learning Optimization and Semantic Reporting Application of Knowledge Graphs in Research Graphs vs Tabular Data Computational graphs Graph Data Science and Graph Machine Learning Combining Knowledge Graphs and Large Language Models…
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We talked about: Tereza’s background Switching from an Individual Contributor to Lead Python Pizza and the pizza management metaphor Learning to figure things out on your own and how to receive feedback Tereza as a leadership coach Podcasts Tereza’s coaching framework (selling yourself vs bragging) The importance of retrospectives The importance of…
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Links: VectorHub: https://superlinked.com/vectorhub/?utm_source=community&utm_medium=podcast&utm_campaign=datatalks Daniel's LinkedIn: https://www.linkedin.com/in/svonava/ Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcampJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/e…
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We talked about: Reem’s background Context-aware sensing and transfer learning Shifting focus from PhD to industry Reem’s experience with startups and dealing with prejudices towards PhDs AI interviewing solution How candidates react to getting interviewed by an AI avatar End-to-end overview of a machine learning project The pitfalls of using LLMs …
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We talked about: Sara’s background On being a Google PhD fellow Sara’s volunteer work Finding AI volunteer work Sara’s Fruit Punch challenge How to take part in AI challenges AI Wonder Girls Hackathons Things people often miss in AI projects and hackathons Getting creative Fostering your social media Tips on applying for volunteer projects Why it’s…
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"You are constantly becoming a new person," says journalist Shankar Vedantam. In a talk full of beautiful storytelling, he explains the profound impact of something he calls the "illusion of continuity" -- the belief that our future selves will share the same views, perspectives and hopes as our current selves -- and shows how we can more proactive…
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We talked about: Sarah’s background How Sarah became a coach and found her niche Sarah’s clients How Sarah helps her clients find the perfect job Finding a specialization Informational interviews Building a connection for mutual benefit The networking strategy Listing your projects in the CV The importance of doing research yourself and establishin…
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We talked about: Nemanja’s background When Nemanja first work as a data person Typical problems that ML Ops folks solve in the financial sector What Nemanja currently does as an ML Engineer The obstacle of implementing new things in financial sector companies Going through the hurdles of DevOps Working with an on-premises cluster “ML Ops on a Shoes…
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We talked about: Ivan’s background How Ivan became interested in investing Getting financial data to run simulations Open, High, Low, Close, Volume Risk management strategy Testing your trading strategies Sticking to your strategy Important metrics and remembering about trading fees Important features Deployment How DataTalks.Club courses helped Iv…
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We talked about: Rob’s background Going from software engineering to Bayesian modeling Frequentist vs Bayesian modeling approach About integrals Probabilistic programming and samplers MCMC and Hakaru Language vs library Encoding dependencies and relationships into a model Stan, HMC (Hamiltonian Monte Carlo) , and NUTS Sources for learning about Bay…
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We talked about: Atita’s background How NLP relates to search Atita’s experience with Lucidworks and OpenSource Connections Atita’s experience with Qdrant and vector databases Utilizing vector search Major changes to search Atita has noticed throughout her career RAG (Retrieval-Augmented Generation) Building a chatbot out of transcripts with LLMs I…
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We talked about: Adrian’s background The benefits of freelancing Having an agency vs freelancing What let Adrian switch over from freelancing The conception of DLT (Growth Full Stack) The investment required to start a company Growth through the provision of services Growth through teaching (product-market fit) Moving on to creating docs Adrian’s c…
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We talked about: Dimitri’s background The first steps of transitioning into freelance Working with recruiters (contracting) Deciding on what to charge for your services Establishing your network Self-marketing Contracting vs freelancing Which channel is better for those starting out? Cutting out the middleman Where to look for clients and how to ve…
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We talked about: Maria’s background Deciding to go into telecare (healthcare) Current difficulties in healthcare Getting into the healthcare industry as a lifestyle brand The importance of a plan B and being flexible What is SQIN and the importance of communication Going from lipstick to skin health analysis The importance of community and broadeni…
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We talked about: Christoph’s background Kaggle and other competitions How Christoph became interested in interpretable machine learning Interpretability vs Accuracy Christoph’s current competition engagement How Christoph chooses topics for books Why Christoph started the writing journey with a book Self-publishing vs via a publisher Christoph’s ot…
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We talked about: Jack’s background Transitioning from IC to management Lesson not taught in traditional school The importance of people’s perception, trust, and respect How soft skills are relevant to machine learning How to put on a salesman hat in machine learning management The importance of visuals and building a POC as fast as possible 1st Rul…
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Links: Mini sound bath: https://www.youtube.com/watch?v=g-lDrcSqcrQ Free ML Engineering course: http://mlzoomcamp.comJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html
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We talked about: Lera’s background Lera’s move from Ukraine to Germany The transition from Marketing to Product Ownership The importance of communication and one-on-ones The role of Product Owner Utilizing Scrum as a Product Owner Building teams and cross-functionality Lera’s experience learning about search The importance of having both technical …
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Links: LinkedIn: https://www.linkedin.com/in/ioannis-mesionis/ Github: https://github.com/ioannismesionis Website: https://ioannismesionis.github.io/ Free ML Engineering course: http://mlzoomcamp.comJoin DataTalks.Club: https://datatalks.club/slack.htmlOur events: https://datatalks.club/events.html
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We talked about: Angela's background Angela's role at Sam's Club The usefulness of knowing ML as a data engineer Angela's career path Transitioning from data analyst to data engineer/system designer Best practices for system design and data engineering Working with document databases Working with network-based databases Detecting fraud with a netwo…
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We talked about: Loïc's background Data management Loïc's transition to data engineer Challenges in the transition to data engineering What is a data architect? The output of a data architect's work Establishing metrics and dimensions The importance of communication Setting up best practices for the team Staying relevant and tech-watching Setting u…
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We talked about: Maria's background Marvelous MLOps Maria's definition of MLOps Alternate team setups without a central MLOps team Pragmatic vs non-pragmatic MLOps Must-have ML tools (categories) Maturity assessment What to start with in MLOps Standardized MLOps Convincing DevOps to implement Understanding what the tools are used for instead of kno…
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We talked about: Aleksander's background Aleksander as a Causal Ambassador Using causality to make decisions Counterfactuals and and Judea Pearl Meta-learners vs classical ML models Average treatment effect Reducing causal bias, the super efficient estimator, and model uplifting Metrics for evaluating a causal model vs a traditional ML model Is the…
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We talked about: José's background How José relocated to Norway and his schedule Tech companies in Norway and José role Challenges of working as a remote data engineer José's newsletter on how to make use of data The process of making data useful Where José gets inspiration for his newsletter Dealing with burnout When in Norway, do as the Norwegian…
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We talked about: Sandra's background Making a YouTube channel to break into the LLM space The business cases for LLMs LLMs as amplifiers The befits of keeping a human in the loop when using LLMs (AI limitations) Using LLMs as assistants Building an app that uses an LLM Prompt whisperers and how to improve your prompts Sandra's 7-day LLM experiment …
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We talked about: Meryam's background The constant evolution of startups How Meryam became interested in LLMs What is an LLM (generative vs non-generative models)? Why LLMs are important Open source models vs API models What TitanML does How fine-tuning a model helps in LLM use cases Fine-tuning generative models How generative models change the lan…
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We talked about: Bela's background Why startups even need investors Why open source is a viable go-to-market strategy Building a bottom-up community The investment thesis for the TKM Family Office and the blurriness of the funding round naming convention Angel investors vs VC Funds vs family offices Bela's investment criteria and GitHub stars as a …
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Links: Book: https://www.manning.com/books/machine-learning-system-design?utm_source=AGMLBookcamp&utm_medium=affiliate&utm_campaign=book_babushkin_machine_4_25_23&utm_content=twitter Discount: poddatatalks21 (35% off) Evidently: https://www.evidentlyai.com/ Article: https://medium.com/people-ai-engineering/design-documents-for-ml-models-bbcd30402ff…
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We talked about: Polina's background How common it is for PhD students to build ML pipelines end-to-end Simultaneous PhD and industry experience Support from both the academic and industry sides How common the industrial PhD setup is and how to get into one Organizational trust theory How price relates to trust How trust relates to explainability T…
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We talked about: Simon's background What MLOps is and what it isn't Skills needed to build an ML platform that serves 100s of models Ranking the importance of skills The point where you should think about building an ML platform The importance of processes in ML platforms Weighing your options with SaaS platforms The exploratory setup, experiment t…
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We talked about: Santona's background Focusing on data workflows Upsolver vs DBT ML pipelines vs Data pipelines MLOps vs DataOps Tools used for data pipelines and ML pipelines The “modern data stack” and today's data ecosystem Staging the data and the concept of a “lakehouse” Transforming the data after staging What happens after the modeling phase…
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We talked about: Hugo's background Why do tools and the companies that run them have wildly different names Hugo's other projects beside Metaflow Transitioning from educator to DevRel What is DevRel? DevRel vs Marketing How DevRel coordinates with developers How DevRel coordinates with marketers What skills a DevRel needs The challenges that come w…
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We talked about; Antonis' background The pros and cons of working for a startup Useful skills for working at a startup and the Lean way to work How Antonis joined the DataTalks.Club community Suggestions for students joining the MLOps course Antonis contributing to Evidently AI How Antonis started freelancing Getting your first clients on Upwork Pr…
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We talked about: Bart's background What is data governance? Data dictionaries and data lineage Data access management How to learn about data governance What skills are needed to do data governance effectively When an organization needs to start thinking about data governance Good data access management processes Data masking and the importance of …
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We talked about: Boyan's background What is data strategy? Due diligence and establishing a common goal Designing a data strategy Impact assessment, portfolio management, and DataOps Data products DataOps, Lean, and Agile Data Strategist vs Data Science Strategist The skills one needs to be a data strategist How does one become a data strategist? D…
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