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This video explains
@GoogleAI 's amazing new Meena chatbot! An Evolved Transformer with 2.6B parameters on 341 GB / 40B words of conversation data to achieves remarkable chatbot performance! "Horses go to Hayvard!" https://youtu.be/STrrlLG15OY#100DaysOfMLCode -
#100DaysOfCode#60daysofudacity#100DaysOfMLCode#WomenWhoCode Day 15. I'm studying machine learning concepts and algorithms. Later, I will work on their Python implementations. One day at at time. It's a lot! I have a long way to go but I'm happy with all I'm learning!

pic.twitter.com/Rx1HLzkK7H
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Day - 19: Completed numpy module
in Python for Data Science course
and starring Pandas as next module
#DataScience#Python#100DaysOfCode#100DaysOfMLCode -
Day 44
#100DaysOfMLCode Today I continued with the Private AI Udacity course, I'm planning on finishing it by tomorrow. https://www.udacity.com/course/secure-and-private-ai--ud185 … -
Day 17: Read about the Decision Tree Algorithm. Turned out to be a simple and highly interpretable model.
#100DaysofMLCode#100DaysofCodePrikaži ovu nit -
AI Weekly update for February 3rd, 2020! This update covers Google AI's Meena Chatbot, Microsoft's ImageBERT, blog posts on Curriculum Learning in RL and Contrastive Self-Supervised Learning, and more! https://youtu.be/N9jsScucOXs
#100DaysOfMLCode -
Day 72: Finally, I got my certificate! Next step: rewrite course projects in python and publish it in GitHub+start reading Hands-on ML book by Aurélien géron https://coursera.org/share/bc2b178baa9e372101c1994d55f7606f …
#100DaysOfMLCode#MachineLearningpic.twitter.com/2GIe1y0wnM
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Cool little picture I saw in regards to
#coding and#datascience languages#newbiecoder#freeCodeCamp#100DaysOfMLCode#301DaysOfCode#codingnewbie#coding#newbiecoder#learningtocode#datascience#javascript#100DaysOfCode#SQL#rstats#SAS#pythonpic.twitter.com/7b4jzZGymG
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#100DaysofMLCode Since many features roughly follow normal distribution, I tried using the pdf to predict which of the four severity does the accident most likely belong. But results were terrible even on the training set(42% accuracy). https://github.com/hithesh111/Hith100/blob/master/100Days/day063.ipynb …#100DaysOfCode -
#100DaysOfCode#60Daysofudacity#100DaysOfMLCode Day 14. I started this course, Data Structures and Algorithms: https://classroom.udacity.com/courses/ud513/lessons/7174469398/concepts/71212749920923 … I find it pretty useful and I'm glad I'm taking it! -
Plzz give me some guidance how can I move forward in career

..I know basics of coding have worked for 6 months,but have only 3 months of proof #career#womanwhocode#jobseeker#Java#webdevelopment#ITindia#100DaysOfCode#100DaysOfMLCode#programming#ITJobs#GirlsWhoCodePrikaži ovu nit -
R3 Days 15 to 70 of
#100DaysOfMLCode Finished: - "Neural Network and Deep Learning" - "Applied Machine Learning In Python" courses at@coursera -
23/100 Not really a full day of "butt in seat" time, but I got some good problem solving in. Coding consisted of going back into some math and generalizing the hard numbers I used to originally get that part of the algorithm done.
#100DaysOfCode#100DaysOfMLCodePrikaži ovu nit -
Round 2 Day 42 of
#100DaysOfCode I am still going back and forth between perception and gradient descent. Looking for that 'click' moment to move on! Submitted the first ML algorithm and got the new one right after it :D#100DaysOfMLCode -
Day 39 : Working on my DeepLearning nanodegree from Udacity. Learned the black box theory of Gradient Deacent and used it to implement a neural network to predict bike sales.
#100DaysOfMLCode#100DaysOfCode -
Day 7: 1) Studied the problem of overfitting and it's solution by regularization. 2) Exploring Neural networks and started third week's assignment. 3) Parallelly enjoying image processing with openCV.
#100DaysOfMLCode -
RT
@AjayNarvekar: RT@NikitaJit2: Day 26 of#100DaysOfCode#100DaysOfMLCode Took a deeper dive into Neural Networks, Gradient descent, Back… -
Looking to meet people who are doing image analysis and computer vision
#100DaysOfCode#100DaysOfMLCode#DeepLearning -
#100DaysOfMLCode Day1: Starting sentdex series and picking up the first 3 videos .. Learned about loading the dataset,adding new coloumns and defining the features and the labels. -
I highly recommend checking out the lecture series from "Full Stack Deep Learning" on YouTube https://www.youtube.com/watch?v=5ygO8FxNB8c&t=920s …
#100DaysOfMLCode
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