34 episodes

Minhaaj Podcast are Candid Conversations with Some of the Most Intelligent People. From Forbes and WSJ contributors, inventors, wall street bankers, Fintech experts, memory champions, neuroscientists, psychology veterans, FAANG employees and Youtube Educators, i have had the distinct pleasure to learn from these luminaries, for which i shall remain thankful, forever.

The Minhaaj's Podcast minhaaj rehman

    • Technology
    • 5.0 • 3 Ratings

Minhaaj Podcast are Candid Conversations with Some of the Most Intelligent People. From Forbes and WSJ contributors, inventors, wall street bankers, Fintech experts, memory champions, neuroscientists, psychology veterans, FAANG employees and Youtube Educators, i have had the distinct pleasure to learn from these luminaries, for which i shall remain thankful, forever.

    Prosthetic Hands with Aadeel Akhtar

    Prosthetic Hands with Aadeel Akhtar

    Dr. Akhtar received his Ph.D. in Neuroscience and M.S. in Electrical & Computer Engineering from the University of Illinois at Urbana-Champaign in 2016. He received a B.S. in Biology in 2007 and M.S. in Computer Science in 2008 at Loyola University Chicago. His research is on motor control and sensory feedback for upper limb prostheses, and he has collaborations with the Bretl Research Group at Illinois, the Center for Bionic Medicine at the Shirley Ryan AbilityLab, the John Rogers Research Group at Northwestern University, and the Range of Motion Project in Guatemala and Ecuador. In 2021, he was named as one of MIT Technology Review’s top 35 Innovators Under 35 and America’s Top 50 Disruptors in Newsweek.



    00:00 Intro

    01:42 Multiarticulation of Prosthetic Hand, Finger Movements 

    03:10 Visiting Pakistan at 7 Years Old, Inspiration for Prosthetics

    04:34 $75,000 vs $10,000 Hand, Cost Reduction & Accessibility 

    06:13 Sourcing Parts from China, Shenzen, Electronic Part Capital of the World 

    08:45 3D Printing of Hand and Distribution of locally vs imported Parts

    11:00 Fixing Repair Problems for Imported Components from China, COVID 19  

    12:31 USB port, Bluetooth and Spiderman Web 

    16:56 Android/iOS App, AI&ML & Sensitivity Controller 

    18:50 From Research to Market, Tactile Feedback

    24:15 Invasive Technology, Electrode Scarring & Partnerships

    27:11 Cortical Implants & Future of BCIs for Humanity 

    31:39 Neuroscience Labs as Co-working Spaces

    33:20 Guitar, Linkin Park & Mohawk

    38:34 OpenAI and Rubic Cube vs Prosthetic Hand 

    49:16 Work in Ecuador & Inception of the Idea 

    52:39 3D Printing vs Manual Construction of Prosthetics - Robustness 

    01:04:31 Multimodel Neuroplasticity & Forced Interchangeability 

    01:10:06 Neuroscience of Parenting,  Catch 22

    01:14:00 Importance of Recognition & Thanking the Crew as a Leader 

    01:17:00 From $200 in account to Funding round and Medicare Approving Psyonic Hand

    01:20:29 Going Global and Exploring New Markets 

    01:23:31 Infection Mitigation Design 

    01:29:06 Low Cost Competitors, KalArm by Makers Hive & Game Plan 

    01:36:33 Shoe Dog by Phil Knight and Power of Grit

    01:40:40 Impact, Legacy & Fulfillment



    Guest Social Media  Aadeel’s Profile: https://www.linkedin.com/in/aadeelakhtar/Perosnal Website: https://www.aadeelakhtar.com/Newsweek Coverage: https://www.newsweek.com/2021/12/24/americas-greatest-disruptors-medical-marvels-1659061.htmlMIT Innovators Coverage: https://www.technologyreview.com/innovator/aadeel-akhtar/







    Follow us:

     Full Episodes Playlist link: https://bit.ly/3p2oWJA

    Clips Playlist link: https://bit.ly/3p0Qmzs

    Apple Podcasts: https://apple.co/3v0YZxV

    Google: https://bit.ly/3s5vDwc

    Spotify:  https://spoti.fi/3H6jqf0



    Who is Minhaaj? 

    Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.

     

    CONNECT WITH Minhaaj

    ✩ Website - https://bit.ly/3LMvwgT

    ✩ Minhaaj Podcast - https://bit.ly/3H8MK4G

    ✩ Twitter - https://bit.ly/3v3t1RJ

    ✩ Facebook - https://bit.ly/3sV0XgE

    ✩ ResearchGate - https://bit.ly/3I6BvLu

    ✩ Linkedin - https://bit.ly/3v3FswQ

    ✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO


    ---

    Send in a voice message: https://anchor.fm/minhaaj/message

    • 1 hr 45 min
    Data Warehouse with Bill Inmon

    Data Warehouse with Bill Inmon

    William H. Inmon (born 1945) is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference (with Arnie Barnett), wrote the first column in a magazine and was the first to offer classes in data warehousing. Inmon created the accepted definition of what a data warehouse is - a subject-oriented, nonvolatile, integrated, time-variant collection of data in support of management's decisions. Compared with the approach of the other pioneering architect of data warehousing, Ralph Kimball, Inmon's approach is often characterized as a top-down approach.   





    00:00 Intro 

    01:17 From failed Golf Career to a Computing one  

    03:06 Originality, Patterns & Database Design 

    04:37 Punch Cards, Magnetic Tapes, Fortran, Cobalt & Bits in IBM 1401s 

    11:16 First Book with Arnie Barnett, First Conference & Peer Pressure from Vendors  

    14:26 Winning over Marketing & Sales People vs IT Departments 

    18:15 Rise & Fall of IBM, Arrogance, Rudeness & Apathetic Company  

    20:04 Prism Solutions & Early Days of Data Warehousing, Dormant Data & Textual ETL 

    30:20 Corporate Information Factory, DataMarts & ETL 

    32:00 Inmon vs Kimball Approach of Data Architecture, Good, Bad & the Worse 

    36:15 Data Reliability with Data Marts vs Centralised Data Warehouse  

    39:00 Staging Area in Kimball System vs Vetting the Data   

    41:00 Metadata, Beethoven & Importance of Metadata, 

    45:00 Prolific Writing, Family of Writers & Edgar Allan Poe. Hated Writing in College 

    48:51 Writing Course at Stanford, Fiction & Technical Communication  

    51:16 Fiction Published Work & Posthumous Publishing 

    57:03 ELT vs ETL, Data Needs Work. Computing Power and Data Transformation 

    01:01:31 Big Data, Data Creation Speed & Future of Data Warehousing 

    01:04:06 Textual ETL, MIT Symposium & Text Data Utilisation Algorithms, Medical Research & COVID 19  

    01:13:45 Transformers, NLP, Graph Learning & Unfair Criticism & Animosity 

    01:23:56 Dotcom Bubble, Gartner’s Hype Curve, Theranos and Deception 

    01:29:45 Venture Capitalists are not Smart People, they are Rich People.  

    01:35:31 Cloud Computing vs Local DWHs 

    01:38:06 Databricks vs Snowflake 

    01:42:03 Not a Book Reader, Carving your Own Path 

    01:45:56 Travelling to 59 Countries, Experiencing Culture & Interesting Interactions 

    01:50:00 From California to Colorado, Nature in the Rockies & Life  



    Follow us:   

    Full Episodes Playlist link: https://bit.ly/3p2oWJA 

    Clips Playlist link: https://bit.ly/3p0Qmzs 

    Apple Podcasts: https://apple.co/3v0YZxV 

    Google: https://bit.ly/3s5vDwc 

    Spotify:  https://spoti.fi/3H6jqf0   



    Who is Minhaaj?   Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.  

    CONNECT WITH Minhaaj  

    ✩ Website - https://bit.ly/3LMvwgT 

    ✩ Minhaaj Podcast - https://bit.ly/3H8MK4G 

    ✩ Twitter - https://bit.ly/3v3t1RJ 

    ✩ Facebook - https://bit.ly/3sV0XgE 

    ✩ ResearchGate - https://bit.ly/3I6BvLu 

    ✩ Linkedin - https://bit.ly/3v3FswQ 

    ✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO


    ---

    Send in a voice message: https://anchor.fm/minhaaj/message

    • 1 hr 52 min
    Building Data Teams & Culture - Lisa Cohen

    Building Data Teams & Culture - Lisa Cohen

    Lisa Cohen is the Director of Data Science at Twitter and Formerly at Microsoft for 20 years. He holds a bachelor and a master in Applied Mathematics from Harvard and is one of the most influential women in Data Science and AI.

    00:00 Intro
    02:52 Harvard, Microsoft, and Twitter. From SE to Data Science
    03:40  Work Culture at Microsoft, Bigger Picture & Customer First Paradigm
    16:40  Working with Bill Gates, Satya Nadella, Leadership Lessons & Marty Kagan
    19:30 Zoom Meetings, Productivity & Innovation, ‘Drive’ by Daniel Pink
    23:13 Working Styles, Introversion vs Extraversion, 
    26:43 5-day Week, Focus and Scandinavian Productivity
    28:50 The Great Resignation, Data Science Jobs, Networking for People who hate Networking
    34:28 Twitter vs Everything else, Metaverse, Space Tourism, 
    36:50 Non-computing Backgrounds & Transition into Data Science
    42:35 Azure’s Race with Amazon in Cloud Computing, OpenAI & First Mover Advantage
    46:50 Softball & leadership, Azure Sharks & ‘Hit Refresh’ by Satya Nadella
    51:16 Reid Hoffman, Naval Ravikanth & Inspirational Leaders 
    55:00 Roadblocks in Optimising Data Utilization for Creating Business Value
    01:01:00 Data-Centric Models vs ML-Centric Models, Data Augmentation & Use Cases at Microsoft 
    01:04:04 NVIDIA GTC, Apple M!, Chip Shortage and repercussions for AI
    01:08:49 Women in STEM, Mom Support Group & Women leaving STEM faster
    01:17:06 Lessons for Leadership being a Parent.
    01:20:25 Managing things as a Parent, Work Cycles & Productivity Marathon
    01:21:00 Valedictorian Child, Being Elder Sibling, Work Ethics and Parents 
    01:25:30 Performance Expectation, Sibling Rivalry, Being a Role Model  
    01:27:19 Mentors and Best Advice 
    01:30:05 Jack Dorsey, Life, Legacy & Impact on Others 

    yse083q3AKJv8eUnKDPK

    ---

    Send in a voice message: https://anchor.fm/minhaaj/message

    • 1 hr 34 min
    Data Science Careers with Dhaval Patel - Codebasics Youtube

    Data Science Careers with Dhaval Patel - Codebasics Youtube

    Dhaval Patel is a software & data engineer with more than 17 years of experience. He has been working as a data engineer for a Fintech giant Bloomberg LP (New York) as well as NVidia in the past. He teaches programming, machine learning, data science through YouTube channel CodeBasics which has 428K subscribers worldwide. 



    00:00 Intro

    01:34 Autoimmune disease ‘Ulcerative colitis’, Life & Death Struggle, Back to Life

    03:40 Mental Health, Steroids & Immune System 

    11:00 Planning Videos, Pedagogy & Smart People Problem

    17:15 Working at Bloomberg, Bloomberg Trading Terminal & Exceptional Talent in Bloomberg

    21:13  Career Tracks on Data Related Spectrum, Pathways for different Careers

    25:16  Data Structure and Algorithms, Politics vs Equations, Eternity 

    28:20  ML vs Deterministic Programming, Time & Space complexity of the ML Models

    30:37 Kaggle vs Real Life, Soft Skills for Engineers, Transition from Competitions to Industrial Use-cases 

    30:02 Litmus Test for Hiring Data Scientists, Continuous Engagement & Adaptability

    42:35 Loss of Productivity by Lack of Communication Skills, Education System Deficiencies, How to Win Friends by Dale Carnegie 

    46:50 Death by PowerPoint, Simplicity & Walk vs Talk

    49:51 Negotiating Salary,  Action vs Motivation, Cellphone is a Distraction 

    57:35 Growing Vegetables, Joy of Gardening, Rural Childhood & GMO Food  

    01:01:40 Dhando Investor, Motel Business Monopoly by Patels, Software Engineering

    01:04:04 Deep learning, C++ Back-propagation Algorithms,  Nvidia Titan RTX GPUs, Amazon Stores Experience

    01:08:49 Nvidia Broadcast Noise Cancellation Demonstration, Nvidia Card Filtering, CNNs and Edge Detection 

    01:16:06 BlackBox Models, ML-centric vs Data-Centric Models,  

    01:19:25 Natural Language Understanding, Yann Lecaun, Low Accuracy is NLP Models

    01:21:18 Github AI Pairing, Data Structures & Future of Programming Languages

    01:27:01 ETL pipelines & Distributed Computing Structures 

    01:30:00 FAST API, Beginner’s Tools, Pytorch vs TensorFlow, Improvements in Tensorflow 2.0

    01:35:05 Programmers vs Normal People, Semantics of English vs Programming Languages, pd.read_csv 

    01:38:03 Nvidia GPU vs Apple M1 GPU, Hope for non-Nvidia Deep-learning, Google Colab

    01:41:30 Google Pixel,  Google Tensor Chips & Chip Shortages

    01:44:00 Discord Community for Data Science, Mentorship & Abundance Mindset

    01:49:00 Struggles, Battles, Hopelessness & Dysphonia


    ---

    Send in a voice message: https://anchor.fm/minhaaj/message

    • 1 hr 52 min
    BCIs, Neuro Modulation and NeuroEthics with Harrison Canning

    BCIs, Neuro Modulation and NeuroEthics with Harrison Canning

    Harrison Canning is a student at the Rochester Institute of Technology in the School of Individualized Studies, Founder of The BCI Guys & Neurotechnology Exploration Team. He makes videos on his Youtube channel The BCI Guys and has designed his own degree centered around brain-computer interface technology (BA in Neurotechnology).

    The BCI Guys is a media company dedicated to removing the barrier to entry and increasing interest in the field of neurotechnology. It produces engaging, sensational, digestible, and informative content via YouTube, podcasts, and blog posts. Its aim is to lead the conversation around neurotechnology through a science-based approach and conveying what is possible, while also conveying the tremendous potential of brain-computer interface and neuromodulation technologies.

    00:00 Intro

    01:34 Assault, Concussion and Neurotech

    06:01 Coping with Memory Loss, Mathematical Ability & Courage 

    12:50  Moral Support, SuperMoms & Hope

    08:15  Bodysuits, Neuro diseases, Robotics & Boston Dynamics

    10:48  Pros and Cons of invasive vs non-invasive Solutions, 1000 Brains Theory, Signal Amplification Issues

    13:40  Lucid Dreams, Brain Wave Differences in Human Subjects, RIT Neurotech Research Lab

    28:16 Accuracy for Apple Watches & Wearables and Size to Measurement Precision Ration  

    30:39  SpO2 Levels, Sleep and Stress levels, False Positives

    33:32  Delta Waves, Meditation and Focus Research

    37:30  Post-trauma Brain Rewiring, Man with Half a Brain, Machine Learning & Intent Prediction through Connectomes 

    43:10  NeoCortex in Humans vs Other Animal Species, Cons of Late Maturation of Cortex, Human Behavioral Biology

    47:00 NeuroPharmacology vs NeuroModulation, Addiction & Jordan Peterson

    50:00 Deep Brain Stimulation, Jaak Panksepp, Clinical trials on 2000 People, Controllable Neuro Modulation to Alleviate Pain

    53:30  Number of Electrodes, Depression & Anxiety, Neuropathic Pain 

    56:10 Seizure Detection through AI, Brain Wave Patterns for Seizures, Chip Implants for Preventing them

    58:30  Inspiring Mentor & Role Model 

    01:02:40 Neuroscience Starter Kit, Cost of  Hypondyne Z vs OpenBCI , $499 EEG Cap

    01:06:04 Neurotech Education Around the World. Neurotechx Latam, Nigerian Schools 

    01:10:02 Distributed Neurotech, Remote Patient Monitoring, Technology Exchange 

    01:14:50 Wernicke & Broca’s Area, Speech Restoration through ML & BrainGate

    01:21:25 Motor vs Sensory Homunculus, Sense Substitution & Neuroplasticity 

    01:26:18 Predicting Human Activity based on Brain Waves, Jennifer Anniston Neuron & Dedicated Neurons 

    01:30:30 AGI, Recreation of Artificial Brain & Limbic System

    01:36:00 Stereotypes as Dropout Regularisation, Racism, Xenophobia, Polarity

    01:39:20  Icecream, Greasy Food, Music, Happiness, Sex & Rationality

    01:42:00 Future of BCI Guys  

    01:27:30  Neuroethics, Facebook Whistleblower, Body Image, Culture, Society & Cognitive Enhancements




    ---

    Send in a voice message: https://anchor.fm/minhaaj/message

    • 1 hr 49 min
    Pytorch Geometric with Matthias Fey

    Pytorch Geometric with Matthias Fey

    Matthias Fey is the creator of the Pytorch Geometric library and a postdoctoral researcher in deep learning at TU Dortmund Germany. He is a core contributor to the Open Graph Benchmark dataset initiative in collaboration with Stanford University Professor Jure Leskovec.

    00:00 Intro

    00:50 Pytorch Geometric Inception  

    02:57  Graph NNs vs CNNs, Transformers, RNNs

    05:00  Implementation of GNNs as an extension of other ANNs 

    08:15  Image Synthesis from Textual Inputs as GNNs 

    10:48  Image classification Implementations on augmented Data in GNNs 

    13:40  Multimodal Data implementation in GNNs 

    16:25  Computational complexity of GNN Models

    18:55  GNNAuto Scale Paper, Big Data Scalability

    24:39  Open Graph Benchmark Dataset Initiative with Stanford, Jure Leskovec and Large Networks

    30:14 PyG in production, Biology, Chemistry and Fraud Detection 

    33:10 Solving Cold Start Problem in Recommender Systems using GNNs

    38:21 German Football League, Bundesliga & Playing in Best team of Worst League 

    41:54  Pytorch Geometric in ICLR and NeurIPS and rise in GNN-based papers 

    43:27 Intrusion Detection, Anomaly Detection, and Social Network Monitoring as GNN implementation 

    46:10  Raw data conversion to Graph format as Input in PyG

    50:00 Boilerplate templates for PyG for Citizen Data Scientists 

    53:37 GUI for beginners and Get Started Wizards  

    56:43  AutoML for PyG and timeline for Tensorflow Version  

    01:02:40 Explainability concerns in PyG and GNNs in general

    01:04:40 CSV files in PyG and Structured Data Explainability

    01:06:32 Playing Bass, Octoberfest & 99 Red Balloons 

    01:09:50 Collaboration with Stanford, OGB & Core Team

    01:15:25 Leaderboards on Benchmark Datasets at OGB Website, Arvix Dataset 

    01:17:11 Datasets from outside Stanford, Harvard, Facebook etc  

    01:19:00  Kaggle vs Self-owned Competition Platform 

    01:20:00 Deploying Arvix Model for Recommendation of Papers

    01:22:40 Future Directions of Research 

    01:26:00 Collaborations, Jurgen Schmidthuber & Combined Research 

    01:27:30 Sharing Office with a Dog, 2 Rabbits and How to train Cats




    ---

    Send in a voice message: https://anchor.fm/minhaaj/message

    • 1 hr 31 min

Customer Reviews

5.0 out of 5
3 Ratings

3 Ratings

Cleaner One Fan ,

Varied topics and not surface-level

It’s a different set of topics every time. And host is not afraid to direct conversation deep into each topic

ReviewerOfPodcastsAndThings ,

Insightful and fun podcast

These podcasts are exceedingly fascinating. They are generally long and cover diverse topics, so they are great for a long drive or for a workout. The topics are varied even within a given conversation so you always learn something new.

PsychoEnthusiast ,

Deep, Thoughtful, Fun

A podcast that brings out the science of psychology. The host, Minhaaj, invites researchers from different areas of psychology, machine learning, and data science to discuss current topics in research. The conversations feature a more personal look into the science of psychology with dashes of history and insight that are sure to provide new perspectives. The discussion is thoughtful but doesn't take itself too seriously. Minhaaj has a knack for asking thought-provoking questions that open up his guests thoughts and views of the world.