Book: Machine Learning Algorithms From Scratch

Book: Machine Learning Algorithms From Scratch

  • From First Principles With Pure Python and – – Use them on Real-World Datasets – – You must understand algorithms to get good at machine learning.
  • In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math and learn exactly how machine learning algorithms work.
  • I’ve written books on algorithms, won and ranked in the top 10% in machine learning competitions, consulted for startups and spent a long time working on systems for forecasting tropical cyclones.
  • (yes I have written tons of code that runs operationally) – – I get a lot of satisfaction helping developers get started and get really good at machine learning.
  • I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

Discover How to Code Machine Algorithms
From First Principles With Pure Python and
Use them on Real-World Datasets

$37 USD
You must understand algorithms t…
Continue reading “Book: Machine Learning Algorithms From Scratch”

Data Science As A Career Change – My Story as a Video Interview

MT @_data_mania: Video interview~
#DataScience as #career change
#WomenInTech #AI

  • If you’re like most people who work with data on a regular basis, you’re probably hearing about data science as a career change option and wondering “Is data science right for me?
  • Although I can’t answer those lingering questions for you – I can tell you my experience, as a person who approached data science as a career change.
  • In this exclusive premier interview for LinkedIn Learning, I discuss how I transitioned myself from an Environmental Engineer to a Data Scientist.
  • There’s a lot covered in this lively 30-minute session; And if you’re considering data science as a career change, watching it should help you get a better idea what to expect, and hopefully a little inspiration to ignite your passion.
  • If you liked this video and want to learn more about how to make the transition into data science as a career change, then be sure to check out my LinkedIn Learning / Lyndas training courses here.

If you’re like most people who work with data on a regular basis, you’re probably hearing about data science as a career change option and wondering…
Continue reading “Data Science As A Career Change – My Story as a Video Interview”

Book: Machine Learning Algorithms From Scratch

Book: #MachineLearning Algorithms From Scratch

  • From First Principles With Pure Python and

    Use them on Real-World Datasets

    You must understand algorithms to get good at machine learning.

  • In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math and learn exactly how machine learning algorithms work.
  • I’ve written books on algorithms, won and ranked in the top 10% in machine learning competitions, consulted for startups and spent a long time working on systems for forecasting tropical cyclones.
  • (yes I have written tons of code that runs operationally)

    I get a lot of satisfaction helping developers get started and get really good at machine learning.

  • I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

Discover How to Code Machine Algorithms
From First Principles With Pure Python and
Use them on Real-World Datasets

$37 USD
You must understand algorithms t…
Continue reading “Book: Machine Learning Algorithms From Scratch”

Apple Machine Learning Journal

  • However, to achieve high accuracy, the training sets need to be large, diverse, and accurately annotated, which is costly.
  • An alternative to labelling huge amounts of data is to use synthetic images from a simulator.
  • This is cheap as there is no labeling cost, but the synthetic images may not be realistic enough, resulting in poor generalization on real test images.
  • We show that training models on these refined images leads to significant improvements in accuracy on various machine learning tasks.
  • Read the article View the article “Improving the Realism of Synthetic Images”

Most successful examples of neural nets today are trained with supervision. However, to achieve high accuracy, the training sets need to be large, diverse, and accurately annotated, which is costly. An alternative to labelling huge amounts of data is to use synthetic images from a simulator. This is cheap as there is no labeling cost, but the synthetic images may not be realistic enough, resulting in poor generalization on real test images. To help close this performance gap, we’ve developed a method for refining synthetic images to make them look more realistic. We show that training models on these refined images leads to significant improvements in accuracy on various machine learning tasks.
Continue reading “Apple Machine Learning Journal”

Book: Machine Learning Algorithms From Scratch

Book: #MachineLearning Algorithms From Scratch #abdsc

  • From First Principles With Pure Python and

    Use them on Real-World Datasets

    You must understand algorithms to get good at machine learning.

  • In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math and learn exactly how machine learning algorithms work.
  • I’ve written books on algorithms, won and ranked in the top 10% in machine learning competitions, consulted for startups and spent a long time working on systems for forecasting tropical cyclones.
  • (yes I have written tons of code that runs operationally)

    I get a lot of satisfaction helping developers get started and get really good at machine learning.

  • I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

Discover How to Code Machine Algorithms
From First Principles With Pure Python and
Use them on Real-World Datasets

$37 USD
You must understand algorithms t…
Continue reading “Book: Machine Learning Algorithms From Scratch”

Book: Machine Learning Algorithms From Scratch

Book: Machine Learning Algorithms From Scratch | #BigData #MachineLearning #RT

  • From First Principles With Pure Python and

    Use them on Real-World Datasets

    You must understand algorithms to get good at machine learning.

  • In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math and learn exactly how machine learning algorithms work.
  • I’ve written books on algorithms, won and ranked in the top 10% in machine learning competitions, consulted for startups and spent a long time working on systems for forecasting tropical cyclones.
  • (yes I have written tons of code that runs operationally)

    I get a lot of satisfaction helping developers get started and get really good at machine learning.

  • I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

Discover How to Code Machine Algorithms
From First Principles With Pure Python and
Use them on Real-World Datasets

$37 USD
You must understand algorithms t…
Continue reading “Book: Machine Learning Algorithms From Scratch”

This Week in Machine Learning, 20 January 2017 – Udacity Inc – Medium

Creating software that learns how to learn — This Week in #machinelearning:  #ai

  • Machine Learning is one of the most exciting fields in the world.
  • The week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents!
  • That’s why we created This Week in Machine Learning!
  • Never miss a story from Udacity Inc , when you sign up for Medium.
  • Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

This week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents! Machine Learning is one of the most exciting fields in the…
Continue reading “This Week in Machine Learning, 20 January 2017 – Udacity Inc – Medium”

A boost for artificial-intelligence research in Montreal

A boost for artificial-intelligence research in #Montreal 
 #AI

  • To help spur artificial-intelligence research in Montreal, Microsoft will provide a gift of $1 million to McGill University.
  • As part of its investment, Microsoft will provide gifts for AI research to the Université de Montréal and to McGill.
  • Gift from Microsoft follows company’s planned acquisition of Maluuba
  • Microsoft’s gift to McGill “will allow us to recruit and support the best graduate students in this field,” said McGill computer-science professor Joelle Pineau.
  • “Thank you to Microsoft for this investment in Montreal’s AI strengths,” said McGill Principal Suzanne Fortier. “

To help spur artificial-intelligence research in Montreal, Microsoft will provide a gift of $1 million to McGill University.
Continue reading “A boost for artificial-intelligence research in Montreal”