IBM Data Science Experience Resources
Sign up for IBM’s Cognitive Class to access free data science courses, including:
- Data Science Fundamentals
- Data Science Methodology
- Data Science Hands-on with Open Tools
- Introduction to Scala
- Spark fundamentals
- Introduction to R
Companies such as Coursera, DataCamp, edX, and Udemy also offer data science courses for all levels.
Get involved in Data Science competitions, such as CrowdANALYTIX, DrivenData, Innocentive, Kaggle, and TunedIT.
For a collection of articles about various topics in data science, visit Olav Laudy’s home page. (Note: Olav Laudy is Chief Data Scientist, IBM Analytics, Asia-Pacific.)
Join The Discussion
相關推薦
IBM Data Science Experience Resources
Sign up for IBM’s Cognitive Class to access free data science courses, including: Data Science Fundamentals Data Science Methodology Dat
Analytics using IBM Data Science Experience
IBM Data Science Experience is an interactive, collaborative, cloud-based environment that allows data scientists to use multiple tools to unlock insights
IBM Melds Data Science, Business Intelligence on the Cloud
As enterprises turn to artificial intelligence (AI) to beef up business performance and drive competitive advantage, IBM is working to make analytics, data
Bioconductor（Bioconductor for Genomic Data Science教程）
mic arc nbsp nba for hub 教程 enc 文件 Bioconductor for Genomic Data Science ftp://ftp.ncbi.nlm.nih.gov/genomes/archive/old_genbank/Bacteri
在博客園使用LaTex編輯論文級別data science文章
博客園 Go 效果 公式 過程 第一個 基本 CI 一行 第一個例子我們看看在行文過程中，我們需要一段公式： $p={12\over q}$ ，隨後我們觀察效果。再來另外一個使用\ (來做分界符的行內\(p={12\over q}\)latex公式 在下面的例子，我們有一大
Python data science two pandas basic
from pandas import Series import pandas as pd s=Series([1,2,'ww','tt']) s #series可以自定義索引 s2=Series(['wangxing','man',24],index=['name','sex','
Python data science thd numpy basic
Numpy最重要的一個特 (ndarray)點是其N維陣列物件,該物件是一個快速而靈活地大資料集容器 建立ndarray建立陣列最簡單的方法就是使用array函式,它接收一切陣列性的物件,然後產生一個新的含有傳入陣列的NumPy物件 data=[2,3,4] arr1=np.arra
Python data science one
在常見的資料探勘中,dirty data的內容: 缺失值,異常值,不一致的值,重複的資料以及含有特殊符號(如#,*,等) 異常值往往十分的具有價值,重視異常值的出現,分析其產生的原因,常常成為發現問題而進而改進決策的契機 異常值分析:1st進行簡單的統計量分析,最常用的是最大值,最小值,
kaggle 2018 data science bowl 細胞核分割學習筆記
一、 獲獎者解決方案 1. 第一名解決方案（Unet 0.631） 主要的貢獻 targets: 預測touching borders，將問題作為instance分割 loss function：組合交叉熵跟soft dice loss，避免pixel imbalance問題
Data Science in Python
Comprehensive learning path – Data Science in Python Journey from a Python noob to a Kaggler on Python So, you want to become a d
ANZ Chengdu Data Science Competition——BASELINE 澳新銀行存款大資料建模預測
# -*- coding: utf-8 -*- """ Created on Fri Nov 9 09:58:21 2018 @author: Lenovo """ import lightgbm as lgb import pandas as pd from sklearn.model_
Data Science Competition中的工具彙總
除了基礎的pandas，scikit-learn，numpy，matplotlib，seaborn以外 ( 1 ) category_encoders github 屬於scikit-learn compatible projects之一，下面是Binary Encoding和One-hot Encodi
七個用於資料科學(data science)的命令列工具
資料科學是OSEMN（和 awesome 相同發音），它包括獲取(Obtaining)、整理(Scrubbing)、探索(Exploring)、建模(Modeling)和翻譯(iNterpreting)資料。作為一名資料科學家，我用命令列的時間非常長，尤其是要獲取、
Lesser Known Python Libraries for Data Science
WgetExtracting data especially from the web is one of the vital tasks of a data scientist. Wget is a free utility for non-interactive download of files fro
港大Data Science 面試筆試小結
最近資料專業好火，趕著熱潮申請的孩子們一定記得趁早不趁晚，別觀望了，再觀望就沒了ORZ。 申請的時候不算早了，正好看見港大ds開了（11/5），11/14投，11/26收到面試通知，12/9北京面試筆試，12/14收到推研，目前等正式offer ing，於是覺得可以寫點東西，方便一下後來人~
Do or die – asset managers take up data science
In the time it takes the Earth to rotate about its axis, internet users will generate 2.5 quintillion bytes of new data. That number, a calculation by IBM,
10 must watch movies on Data Science and Machine Learning
Data science and machine learning are powerful technologies innovating the world in ways that sometimes seem straight out of a sci-fi film. Today's machine
Open data, customer experience AI the focus for retail automation
While it might be tempting to dismiss Microsoft's AI technology hype as slick marketing to drum up sales revenue, a number of the company's customers said
Full Stack Data Science (Transcript)
Here is a link to the podcast. Vicki: Thank you so much for having me. Hugo: It's an absolute pleasure to have you on the show. I'm really excited to talk
Digging into Data Science Tools: Docker
Digging into Data Science Tools: DockerDocker is a tool for creating and managing “containers” which are like little virtual machines where you can run you