Skip to content

Data Science & Machine Learning Newsletter # 53

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. How Expedia.com was built on machine learn­ing Machine learn­ing is at the peak of the hype scale, but travel search giant Expe­dia has been build­ing its core busi­ness on the tech­nol­ogy for the best part of a decade. node2vec: Scal­able Fea­ture Learn­ing for Net­works node2vec Devamını Oku […]

Data Science & Machine Learning Newsletter # 52

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. Deep Learn­ing, NLP, and Rep­re­sen­ta­tions This post reviews some extremely remark­able results in apply­ing deep neural net­works to nat­ural lan­guage pro­cess­ing (NLP). In doing so, I hope to make acces­si­ble one promis­ing answer as to why deep neural net­works work. Automat­ing Devamını Oku […]

Data Science & Machine Learning Newsletter # 51

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. Researchers use neural net­works to turn face sketches into pho­tos A team of four neu­ro­sci­en­tists at Rad­boud Uni­ver­sity is work­ing on a model for invert­ing face sketches to syn­the­size pho­to­re­al­is­tic face images by using deep neural net­works. 7 Types of Regres­sion Tech­niques Devamını Oku […]

Data Science & Machine Learning Newsletter # 50

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. Gra­di­ent Boost­ing Inter­ac­tive Play­ground Inter­ac­tive demonstration-explanation of gra­di­ent boost­ing algo­rithm applied to clas­si­fi­ca­tion prob­lem Edward: A library for prob­a­bilis­tic mod­el­ing, infer­ence, and crit­i­cism A Python library for prob­a­bilis­tic mod­el­ing, infer­ence, Devamını Oku […]

Data Science & Machine Learning Newsletter # 49

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. MNIST Gen­er­a­tive Adver­sar­ial Model in Keras Some of the gen­er­a­tive work done in the past year or two using gen­er­a­tive adver­sar­ial net­works (GANs) has been pretty excit­ing and demon­strated some very impres­sive results.  The gen­eral idea is that you train two mod­els, one (G) Devamını Oku […]

Data Science & Machine Learning Newsletter # 48

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. Fore­cast­ing: prin­ci­ples and prac­tice This text­book is intended to pro­vide a com­pre­hen­sive intro­duc­tion to fore­cast­ing meth­ods and to present enough infor­ma­tion about each method for read­ers to be able to use them sen­si­bly. Advanced Ana­lyt­ics is being used by Retail­ers Devamını Oku […]

Data Science & Machine Learning Newsletter # 47

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. How can data sci­en­tists col­lab­o­rate to build bet­ter busi­ness appli­ca­tions? We asked five social influ­encers how data sci­en­tists can col­lab­o­rate to build bet­ter busi­ness appli­ca­tions rapidly. See what they had to say in response about col­lab­o­ra­tion best prac­tices, tools and Devamını Oku […]

Data Science & Machine Learning Newsletter # 46

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. The Busi­ness Impli­ca­tions of Machine Learn­ing … please: do not ignore machine learn­ing. Yes, machine learn­ing will help us build won­der­ful appli­ca­tions. But that isn’t why I think you should pay atten­tion to it.… Machine learn­ing for the future The grow­ing Devamını Oku […]

Data Science & Machine Learning Newsletter # 45

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. One year as a Data Sci­en­tist at Stack Over­flow The most promi­nent exam­ple of where machine learn­ing is used in our prod­uct is Prov­i­dence; our sys­tem for match­ing users to jobs they’ll be inter­ested in. (For exam­ple, if you visit mostly Python and Javascript ques­tions Devamını Oku […]

Data Science & Machine Learning Newsletter # 44

I share the arti­cles took my atten­tion and pub­lish ‘Data Sci­ence & Machine Learn­ing Newslet­ter’ every Fri­day. If you want to get updates, please join ‘Data Sci­ence & Machine Learn­ing Newslet­ter Linkedin Group’. Deep Learn­ing Isn’t a Dan­ger­ous Magic Genie. It’s Just Math DEEP LEARNING IS rapidly ‘eat­ing’ arti­fi­cial intel­li­gence. But let’s not mis­take this ascen­dant form of arti­fi­cial intel­li­gence for any­thing more than it really is. The famous author Arthur C. Clarke wrote, Devamını Oku […]