JulienBeaulieu
  • Introduction
  • Sciences
    • Math
      • Probability
        • Bayes Rule
        • Binomial distribution
        • Conditional Probability
      • Statistics
        • Descriptive Statistics
        • Inferential Statistics
          • Normal Distributions
          • Sampling Distributions
          • Confidence Intervals
          • Hypothesis Testing
          • AB Testing
        • Simple Linear Regression
        • Multiple Linear Regression
          • Statistical learning course
          • Model Assumptions And How To Address Each
        • Logistic Regression
      • Calculus
        • The big picture of Calculus
          • Derivatives
          • 2nd derivatives
          • The exponential e^x
        • Calculus
        • Gradient
      • Linear Algebra
        • Matrices
          • Matrix Multiplication
          • Inverses and Transpose and permutations
        • Vector Space and subspaces
        • Orthogonality
          • Orthogonal Sets
          • Projections
          • Least Squares
        • Gaussian Elimination
    • Programming
      • Command Line
      • Git & GitHub
      • Latex
      • Linear Algebra
        • Element-wise operations, Multiplication Transpose
      • Encodings and Character Sets
      • Uncategorized
      • Navigating Your Working Directory and File I/O
      • Python
        • Problem Solving
        • Strings
        • Lists & Dictionaries
        • Storing Data
        • HTTP Requests
      • SQL
        • Basic Statements
        • Entity Relationship Diagram
      • Jupyter Notebooks
      • Data Analysis
        • Data Visualization
          • Data Viz Cheat Sheet
          • Explanatory Analysis
          • Univariate Exploration of Data
            • Bar Chart
            • Pie Charts
            • Histograms
            • Kernel Density Estimation
            • Figures, Axes, and Subplots
            • Choosing a Plot for Discrete Data
            • Scales and Transformations (Log)
          • Bivariate Exploration of Data
            • Scatterplots
            • Overplotting, Transparency, and Jitter
            • Heatmaps
            • Violin & Box Plots
            • Categorical Variable Analysis
            • Faceting
            • Line Plots
            • Adapted Bar Charts
            • Q-Q, Swarm, Rug, Strip, Stacked, and Rigeline Plots
          • Multivariate Exploration of Data
            • Non-Positional Encodings for Third Variables
            • Color Palettes
            • Faceting for Multivariate Data
            • Plot and Correlation Matrices
            • Other Adaptations of Bivariate PLots
            • Feature Engineering for Data Viz
        • Python - Cheat Sheet
    • Machine Learning
      • Courses
        • Practical Deep learning for coders
          • Convolutional Neural Networks
            • Image Restauration
            • U-net
          • Lesson 1
          • Lesson 2
          • Lesson 3
          • Lesson 4 NLP, Collaborative filtering, Embeddings
          • Lesson 5 - Backprop, Accelerated SGD
          • Tabular data
        • Fast.ai - Intro to ML
          • Neural Nets
          • Business Applications
          • Class 1 & 2 - Random Forests
          • Lessons 3 & 4
      • Unsupervised Learning
        • Dimensionality Reduction
          • Independant Component Analysis
          • Random Projection
          • Principal Component Analysis
        • K-Means
        • Hierarchical Clustering
        • DBSCAN
        • Gaussian Mixture Model Clustering
        • Cluster Validation
      • Preprocessing
      • Machine Learning Overview
        • Confusion Matrix
      • Linear Regression
        • Feature Scaling and Normalization
        • Regularization
        • Polynomial Regression
        • Error functions
      • Decision Trees
      • Support Vector Machines
      • Training and Tuning
      • Model Evaluation Metrics
      • NLP
      • Neural Networks
        • Perceptron Algorithm
        • Multilayer Perceptron
        • Neural Network Architecture
        • Gradient Descent
        • Backpropagation
        • Training Neural Networks
  • Business
    • Analytics
      • KPIs for a Website
  • Books
    • Statistics
      • Practice Statistics for Data Science
        • Exploring Binary and Categorical Data
        • Data and Sampling Distributions
        • Statistical Experiments and Significance Testing
        • Regression and Prediction
        • Classification
        • Correlation
    • Pragmatic Thinking and Learning
      • Untitled
    • A Mind For Numbers: How to Excel at Math and Science
      • Focused and diffuse mode
      • Procrastination
      • Working memory and long term memory
        • Chunking
      • Importance of sleeping
      • Q&A with Terrence Sejnowski
      • Illusions of competence
      • Seeing the bigger picture
        • The value of a Library of Chunks
        • Overlearning
Powered by GitBook
On this page
  • Excercise and schools
  • powers of 10 view

Was this helpful?

  1. Books
  2. A Mind For Numbers: How to Excel at Math and Science

Q&A with Terrence Sejnowski

So what do you do to help yourself learn more easily, when you're looking at something completely new? >>

Well I like to get into the thick of it. I don't get much out of just going and reading a lot of books. And, when I was in Graduate School, I made a transition from Physics to Biology. And the way I did it was to get into a Biology lab. And get involved in experiments. And I, I'm a firm believer in learning by doing, and learning by osmosis from people who are experts.

So, what do you do to get into and take advantage of diffuse mode thinking?

2:47 I find that when I'm jogging, or out getting exercise, that it's a wonderful way to get the mind disengaged, from the normal train of thought. And I find that it's very very possible to to sort of come up with new thoughts, new ideas. And it's almost as if your brain goes into a new mode, you're running along, things are passing you by. And you start thinking about what's happening. For example, things that, that your brain has been working on, your out of conscious thoughts bubble to the surface. And often new ideas that are going to be then helpful to you later on.

Neurons

Rusty discovered that, in an important part of your brain for learning, and memory, the Hippocampus. And which is located right in the middle here, of this model brain. 7:05 New neurons are being born, even in your adulthood. 7:10 And, this, this is very important for learning and memory. It is obviously something that is very, very useful to be able to have new neurons. 7:21 Now here's what we discovered together.

having an enriched environment is, is, is even as an adult is going to help you. Right? Instead of locking yourself, a monk in the room you really want to be surrounded by other people who are stimulating you. And events that are happening that you can actively participate in, so, so that important

Running

in the absence of an enriched environment exercise will also increase the number of new neurons that are being born and survive. And, so I, am very, avid at running.

I've already mentioned that I get lots of good ideas when I run, but I also, know, that my brain is, helping me remember things, because of the fact that I have new neurons being born, and surviving in my hippocampus.

Excercise and schools

its a pity if you look at the way our, our new educational reforms and schools. What do they cut out when they want to add a new, a, session for example learning something, for example, how to pass a test, right. Tests are being given now to help assess, how well a student is doing and how well a school is doing. Well, it's recess. And what happens during a recess? Exercise. It's running around. It's exactly what you need, what your brain needs. It needs that moment of pause of, of using your muscles rather than your brain. To be able to process that information and to, and, and get the neurons working on it. So I think that this is, again something that is, should be a policy that we need to have our children out there running around.

Have there been any special techniques you've acquired over the years that help you focus, learn or create more effectively

I find that, being in a, a creative environment, where other people, are, creative is, is, a way of, enhancing your own creativity. I, I think that.

Although the image we have of the creative thinker as being isolated genius may be true of some people, it's not true of me. I really find that I have better ideas if I'm talking to somebody, and trying to explain to them my ideas. Often, that process can, it boosts the creative process and the facts, I think that you know, having other people around to bounce your ideas off of is really for me a very, very important part of doing science.

Success

But I know a lot of people, who are very, very passionate. 12:54 And persistent. A lot of success in life is that passion and persistence, of really staying the course, staying working on it, and, not letting go. Not giving up. That's really, I think the most important, quality that I see in students, that I work with, who are successful.

powers of 10 view

start by 10 feet above, 100, 1000, until you reachg thte cosmos. Then do the same for the infinitely small.

PreviousImportance of sleepingNextIllusions of competence

Last updated 5 years ago

Was this helpful?