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Articles related to "package"


Amazon is delivering half its own packages as it becomes a serious rival to FedEx and UPS

  • Amazon has been steadily growing its logistics operation over the last decade, and it now delivers more than half of all Amazon packages in the US, according to an estimate from Morgan Stanley published on Thursday and reported by CNBC.
  • It means Amazon, which now operates its own freighters and cargo planes, is accelerating its push to own the entire logistics chain and end its relationship with companies like FedEx and UPS.
  • At the current rate, Amazon is set to pass both FedEx and UPS in US package volume, with the company currently delivering 2.5 billion packages per year compared to FedEx’s 3 billion and UPS’s 4.7 billion, Morgan Stanley says.
  • In 2016, Amazon launched its Prime Air brand, which encompasses both its in-progress delivery drone work and its fleet of cargo planes, and it’s been steadily adding more planes to its fleet over the years.

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Morgan Stanley says Amazon Logistics is leaving rural deliveries to the USPS — and the 'cherry picking' is a brilliant strategy to cut costs

  • According to a recent Morgan Stanley report, Amazon is "disproportionately servicing" the United States' densest areas alone.
  • Servicing the densest areas is a way to keep costs low, but it could bleed out the USPS, which has the legal imperative to serve all US addresses — even the low-margin, low-density rural neighborhoods.
  • The company's last-mile, or home delivery, network is a major threat to UPS, FedEx, the US Postal Service, and other traditional parcel carriers.
  • Through a combination of Amazon's own packages and other e-commerce packages, Amazon stands to become a larger last-mile deliverer than FedEx and UPS by 2020 and 2022 respectively, according to the Morgan Stanley report.
  • Instead, Morgan Stanley's report says the burgeoning logistics company is focusing on urban and suburban areas.
  • The agency has a legal imperative to serve all zip codes in the US, but rural America's lack of density means low margins for whomever is doing the delivery.

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Deepmind: A set of 13 machine-learning tasks that require memory to solve

  • The DeepMind Memory Task Suite is a set of 13 diverse machine-learning tasks that require memory to solve.
  • They are constructed to let us evaluate generalization performance on a memory-specific holdout set.
  • The 8 tasks in this repo are Unity-based.
  • Besides these, there are 4 tasks in the overall Memory Task Suite that are modifications of PsychLab tasks, and 1 that is a modification of a DMLab level.
  • NOTE: The 5 other tasks in the Suite are in Psychlab and DMLab, not Unity.
  • Psychlab is part of DMLab. DMLab has a separate set of installation instructions.
  • These tasks are provided through pre-packaged Docker containers.
  • This package consists of support code to run these Docker containers.
  • Please see the documentation for more detailed information on the available tasks, actions and observations.
  • This is not an officially supported Google product.

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An accidental side effect of text mining

  • The plan was to use text mining and sentiment analysis, generate insights and compare them to my real opinions of those books.
  • Looking carefully I see that stop_words uses single quotes whereas in the text file used apostrophes (‘).
  • We can split the text into single words by unnest_tokens() function from tidytext package, filter the stop_words and count.
  • He also added here some additional words which frequently appear in kindle highlights output.
  • Let’s split the text into bigrams and count the most common two word pairs.
  • We see that I am more likely to highlight if a text is charged with positive rather than negative sentiment, and individually trust, anticipation and joy rather than fear and sadness.
  • But here I got some data that I know the content and I applied text mining approaches and sentiment analysis.

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An accidental side effect of text mining

  • The plan was to use text mining and sentiment analysis, generate insights and compare them to my real opinions of those books.
  • Looking carefully I see that stop_words uses single quotes whereas in the text file used apostrophes (‘).
  • We can split the text into single words by unnest_tokens() function from tidytext package, filter the stop_words and count.
  • He also added here some additional words which frequently appear in kindle highlights output.
  • Let’s split the text into bigrams and count the most common two word pairs.
  • We see that I am more likely to highlight if a text is charged with positive rather than negative sentiment, and individually trust, anticipation and joy rather than fear and sadness.
  • But here I got some data that I know the content and I applied text mining approaches and sentiment analysis.

save | comments | report | share on


An accidental side effect of text mining

  • The plan was to use text mining and sentiment analysis, generate insights and compare them to my real opinions of those books.
  • Looking carefully I see that stop_words uses single quotes whereas in the text file used apostrophes (‘).
  • We can split the text into single words by unnest_tokens() function from tidytext package, filter the stop_words and count.
  • He also added here some additional words which frequently appear in kindle highlights output.
  • Let’s split the text into bigrams and count the most common two word pairs.
  • We see that I am more likely to highlight if a text is charged with positive rather than negative sentiment, and individually trust, anticipation and joy rather than fear and sadness.
  • But here I got some data that I know the content and I applied text mining approaches and sentiment analysis.

save | comments | report | share on


An accidental side effect of text mining

  • The plan was to use text mining and sentiment analysis, generate insights and compare them to my real opinions of those books.
  • Looking carefully I see that stop_words uses single quotes whereas in the text file used apostrophes (‘).
  • We can split the text into single words by unnest_tokens() function from tidytext package, filter the stop_words and count.
  • He also added here some additional words which frequently appear in kindle highlights output.
  • Let’s split the text into bigrams and count the most common two word pairs.
  • We see that I am more likely to highlight if a text is charged with positive rather than negative sentiment, and individually trust, anticipation and joy rather than fear and sadness.
  • But here I got some data that I know the content and I applied text mining approaches and sentiment analysis.

save | comments | report | share on


#discussWindows vs MacOS vs Linux: My Story (and share yours too!)

  • When I used Windows, it felt too bloated and I missed Bash; my Linux experience was really positive but too many apps did not support the platform.
  • Overall, MacOS just felt much faster and more reliable than the Windows machines I had used before.
  • The first thing I noticed was that Ubuntu seemed to have the speed and ease-of-use that MacOS had, but also the developer-friendliness and configuration ability that Windows had.
  • Bash was built-in, just like MacOS, and the APT package manager was really easy to use.
  • I hope you enjoyed reading this post, and of course, everyone uses their computer for different things, and everything mentioned is just my personal opinion and experience.
  • Maybe you have multiple machines or VMs with different operating systems, or maybe you are an avid gamer who needs Windows; everyone is different and again, please share your story below.

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The best hotel deals to book right now if you still want to get away for the holidays

  • Different properties have different availability, but I found the Winter Sun package to be available over Christmas at the Kimpton Angler's Hotel South Beach for a suite with a terrace for $225 per night.
  • Rates are as low as $166 for Christmas and New Year's week for entry-level rooms and only rose to a reasonable $265 for New Year's Eve. Better yet, the package includes a welcome bottle of wine and is available through January 12, 2020 if you're not in a hurry to get back to the office.
  • DoubleTree Resort by Hilton Myrtle Beach Oceanfront is offering a New Year's Eve package to ring in the New Year, including a southern buffet breakfast and late check-out for those who stay up past midnight.

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Morgan Stanley is sounding the alarm on Amazon's logistics network for UPS, USPS, and FedEx — with a chilling estimate of up to $100 billion in revenue slashed from the giants

  • According to that note to investors, Amazon Logistics would need $122 billion just to match the networks of UPS and FedEx; additional air hubs and international operating facilities would command the most cash.
  • That cut upticks to $100 billion if Amazon also moved 3.5 billion non-Amazon parcels that FedEx, UPS and the USPS would otherwise move.
  • Morgan Stanley estimates that Amazon pays $10 per parcel, an average of the UPS, FedEx, USPS revenue per unit.
  • However, Amazon likely pays as much as a half of that, so the actual lost revenue for UPS and the USPS could total closer to $33 billion, the report says.
  • But even using conservative estimates, Morgan Stanley estimates that 15% of non-Amazon e-commerce packages is a $7 billion opportunity, and injecting them into the giant's network could add $1 billion in EBIT to Amazon.

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